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Applied Intuition Interview Questions

Applied Intuition Interview Guides

Data Structures & Algorithms

Compute Deviation

Given two sorted lists, write a function to merge them into one sorted list.

Merge Sorted Lists

Find Bigrams

Write a function to create a single dataframe with complete addresses in the format of street, city, state, zip code.

Complete Addresses

Get Top N Frequent Words

Machine Learning

Encoding Categorical Features

Coefficients of Logistic Regression

Booking Regression

Job Recommendation

Say you are given a dataset of perfectly linearly separable data. What would happen when you run logistic regression?

Perfectly Separable

Select the 2nd highest salary in the engineering department

2nd Highest Salary

Write a SQL query to create a histogram of the number of comments per user in the month of January 2020.

Comments Histogram

Write a query that returns all neighborhoods that have 0 users.

Empty Neighborhoods

Calculate the first touch attribution for each `user_id` that converted.

First Touch Attribution

Closest SAT Scores

Probability

First to Six

500 Cards

Raining in Seattle

Found Item

Ad Raters

Statistics

P-value to a Layman

Reducing Error Margin

What are the assumptions of linear regression?

Assumptions of Linear Regression

You are testing hundreds of hypotheses with many t-tests. What considerations should be made?

Hundreds of Hypotheses

What statistical test could you use to determine which of two parcel types is better to use, given how often they are damaged?

Different Parcel Effectiveness

When an interviewer asks a question along the lines of:

<ul>
<li>What would your current manager say about you? What constructive criticisms might he give?</li>
<li>What are your three biggest strengths and weaknesses you have identified in yourself?</li>
</ul>

How would you respond?

When asked about your strengths in an interview, what is an effective way to respond?

When asked about your strengths in an interview, what is an effective way to respond?

Your Strengths and Weaknesses I

Which of the following is an acceptable strategy when discussing weaknesses in an interview?

Which of the following is an acceptable strategy when discussing weaknesses in an interview?

Your Strengths and Weaknesses II

What do you tell an interviewer when they ask you what your strengths and weaknesses are?

Your Strengths and Weaknesses

Brainteasers

When an interviewer asks you a question along the lines of:

<ul>
<li>Why did you apply to our company?</li>
<li>What are you looking for in your next job?</li>
<li>What makes you a good fit for our company?</li>
</ul>

How should you respond?

When asked 'What are you looking for in your next job?' in an interview, how can you tie the company's employee benefits into your response?

When asked 'What are you looking for in your next job?' in an interview, how can you tie the company's employee benefits into your response?

Why Do You Want to Work With Us I

How can company values be used effectively in an interview when asked 'What makes you a good fit for our company?'

How can company values be used effectively in an interview when asked 'What makes you a good fit for our company?'

Why Do You Want to Work With Us II

When responding to the question 'Why did you apply to our company?' during an interview, what aspect should you highlight?

When responding to the question 'Why did you apply to our company?' during an interview, what aspect should you highlight?

Why Do You Want to Work With Us III

How would you answer when an Interviewer asks why you applied to their company?

Why Do You Want to Work With Us

Describe a data project you worked on. What were some of the challenges you faced?

Describing a data project and its challenges

Hurdles In Data Projects

Analytics

How would you explain what a p-value is to someone who is not technical?

What does a p-value in a statistical test represent?

What does a p-value in a statistical test represent?

P-value to a Layman I

In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?

In a statistical test, how does a low p-value (less than 0.05) influence our decision about the null hypothesis?

P-value to a Layman II

Let’s say that you’re training a classification model.

How would you combat overfitting when building tree-based models?

Let's say that you're training a classification model.   How would you combat overfitting when building tree-based models?

Overfit Avoidance

What are the assumptions of linear regression?

Which assumption of the residuals of the standard linear regression model can not be overcome by increasing the sample size?

Regression assumptions

How would you handle the data preparation for building a machine learning model using imbalanced data?

Addressing imbalanced data in machine learning through carefully prepared techniques.

Data Preparation for Imbalanced Data

Let’s say we’re comparing two machine learning algorithms. In which case would you use a bagging algorithm versus a boosting algorithm? 

Give an example of the tradeoffs between the two.

In machine learning, when would you use a bagging algorithm over a boosting algorithm?

In machine learning, when would you use a bagging algorithm over a boosting algorithm?

Bagging vs. Boosting

Bagging vs Boosting

Given a string, write a function to determine if it is palindrome or not.

Note: A palindrome is a word/string that is read the same way forward as it is backward, e.g. <code>&#39;reviver&#39;</code>, <code>&#39;madam&#39;</code>, <code>&#39;deified&#39;</code> and <code>&#39;civic&#39;</code> are all palindromes, while <code>&#39;tree&#39;</code>, <code>&#39;music&#39;</code> and <code>&#39;person&#39;</code> are not palindromes.

Example:

Input:

<pre tabindex="0" class="chroma"><code>word1 = &#34;tree&#34;
word2 = &#34;radar&#34;
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def is_palindrome(word1) -&gt; False
def is_palindrome(word2) -&gt; True
</code></pre>

Given a string, write a function to determine if it is palindrome or not.

String Palindromes

Write a SQL query to select the 2nd highest salary in the engineering department.

Note: If more than one person shares the highest salary, the query should select the next highest salary.

Example:

Input:

<code>employees</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>first_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>last_name</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>department_id</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>
<code>departments</code> table

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>salary</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Imagine you are asked to build a machine learning model to decide new loan approvals for a
financial firm. You ask the data department in the company for a subset of data to get started
working on the problem. The data includes different features about applicants such as age,
occupation, zip code, height, number of children, favorite color, etc. You decide to build
multiple machine learning models to test out different ideas before settling on the best one.

How would you explain the bias-variance tradeoff with regards to
building and choosing a model to use?

Bias vs. Variance Tradeoff

Explain the difference between the XGBoost and random forest algorithms and give an example where you would use one over the other.

Why might a data scientist choose to use XGBoost instead of Random Forest for a particular machine learning task?

Why might a data scientist choose to use XGBoost instead of Random Forest for a particular machine learning task?

XGBoost vs Random Forest: Choice

Xgboost vs Random Forest

How does random forest generate the forest? Additionally, why would we use it over other algorithms such as logistic regression?

What happens when you average the output on multiple decision trees?

What happens when you average the output on multiple decision trees?

Average Trees

Random Forest Explanation

What is the difference between Logistic and Linear Regression?

When would use one instead of the other in practice?

What is the difference between Logistic and Linear Regression?

Linear vs Logistic Regression

Let’s say that you work at a B2B SAAS company that’s interested in testing the pricing of different levels of subscriptions.

Your project manager comes to you and asks you to run a two-week-long A/B test to test an increase in pricing.

How would you approach designing this test? How would you determine whether the increase in pricing is a good business decision?

Testing Price Increase

A/B Testing

Tell me about a project in which you had to clean and organize a large dataset.

Describing a real-world data cleaning and organization project

Data Cleaning Experiences

Data Pipelines

Let’s say we want to launch a re-design of a landing page to improve the click-through rate. We can do this by implementing an AB test.
Given that we launch an AB test, how would you infer if the results of the click-through rate were statistically significant or not?

How can you accurately conclude if the results of an A/B test, conducted to evaluate the effectiveness of a landing page redesign, are statistically significant?

How can you accurately conclude if the results of an A/B test, conducted to evaluate the effectiveness of a landing page redesign, are statistically significant?

Statistically Significant Test

Precisely ascertain whether the outcomes of an A/B test, executed to assess the impact of a landing page redesign, exhibit statistical significance.

A team wants to A/B test multiple different changes through a sign-up funnel.

For example, on a page, a button is currently red and at the top of the page. They want to see if changing a button from red to blue and/or from the top of the page to the bottom of the page will increase click-through.

How would you set up this test?

Your team wants to run an AB test on the color (red or blue) and position (top/bottom of the page) of a button that links to a promotion.

How many different variants of the test should you run to see the effect that a red button has on the bottom of the page, if currently the button is blue and on the top of the page.

Your team wants to run an AB test on the color (red or blue) and position (top/bottom of the page) of a button that links to a promotion.

How many different variants of the test should you run to see the effect that a red button has on the bottom of the page, if currently the button is blue and on the top of the page.

A/B Test Variants

Button AB Test

What are the key differences between classification models and regression models?

What is the MOST important difference between regression and classification models?

What is the MOST important difference between regression and classification models?

Classification vs Regression

Classification and Regression

Given an array and a target integer, write a function <code>sum_pair_indices</code> that returns the indices of two integers in the array that add up to the target integer. If not found, just return an empty list.

Note: Can you do it on $O(n)$ time?

Note: Even though there could be many solutions, only one needs to be returned.

Example 1:

Input:

<pre tabindex="0" class="chroma"><code>array = [1 2 3 4] 
target = 5 
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def sum_pair_indices(array, target) -&gt; [0 3] or [1 2]
</code></pre>

Example 2:

Input:

<pre tabindex="0" class="chroma"><code>array = [3]
target = 6 
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>Do NOT return [0 0] as you can&#39;t use an index twice.
</code></pre>

Given an array and a target integer, write a function that returns the indices of two integers in the array that add up to the target integer.

Target Indices

Let’s say that your company is running a standard control and variant AB test on a feature to increase conversion rates on the landing page. The PM checks the results and finds a .04 p-value.

How would you assess the validity of the result?

Experiment Validity

Let’s say that you work at a bank that wants to build a model to detect fraud on the platform.

The bank wants to implement a text messaging service in addition that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.

How would we build this model?

Let’s say that you work at a bank that wants to build a model to detect fraud on the platform.

The bank wants to implement a text messaging service that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.

Which statement is true?

Let's say that you work at a bank that wants to build a model to detect fraud on the platform.

The bank wants to implement a text messaging service that will text customers when the model detects a fraudulent transaction in order for the customer to approve or deny the transaction with a text response.

Which statement is true?

Bank Fraud Model

Let’s say you work at Allstate. Allstate is running <code>N</code> online ads right now. The table <code>ads</code> contains all those ads, ranked by popularity via the <code>id</code> column (e.g., the entry with <code>id = 1</code> is the most popular, etc.).

Create a subquery or common table expression named <code>top_ads</code> containing the top 3 ads (by popularity) and return the number of rows that would result from the following operations

<ol>
<li><code>ads INNER JOIN top_ads</code></li>
<li><code>ads LEFT JOIN top_ads</code></li>
<li><code>ads RIGHT JOIN top_ads</code></li>
<li><code>ads CROSS JOIN top_ads</code></li>
</ol>

Note: Please make the <code>join_type</code> column in your output have the values <code>inner_join</code>, <code>left_join</code>, etc. for each of their respective join types

Note: Please return only one query with each number in a different row

Example:

Input:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>id</code></td>
<td>INTEGER</td>
</tr>

<tr>
<td><code>name</code></td>
<td>VARCHAR</td>
</tr>
</tbody>
</table>
Output:

<table>
<thead>
<tr>
<th>Column</th>
<th>Type</th>
</tr>
</thead>

<tbody>
<tr>
<td><code>join_type</code></td>
<td>VARCHAR</td>
</tr>

<tr>
<td><code>number_of_rows</code></td>
<td>INTEGER</td>
</tr>
</tbody>
</table>

Size of Joins

Given an integer <code>N</code>, write a function that returns a list of all of the prime numbers up to <code>N</code>.

Note: Return an empty list there are no prime numbers less than or equal to <code>N</code>.

Example:

Input:

<pre tabindex="0" class="chroma"><code>N = 3
</code></pre>

Output:

<pre tabindex="0" class="chroma"><code>def prime_numbers(N) -&gt; [2,3]
</code></pre>

Given an integer N, write a function that returns all of the prime numbers up to N

Prime to N

Regularization and cross-validation are two common techniques used to improve the performance of machine learning algorithms.

When should you use one versus the other?

Given the choices below, which one is an example of a scenario where we should be using regularization?

Given the choices below, which one is an example of a scenario where we should be using regularization?

Regularization Example

Regularization and Validation

What’s the difference between Lasso and Ridge Regression?

Under what circumstances is it recommended to use Lasso regression over Ridge regression?

Under what circumstances is it recommended to use Lasso regression over Ridge regression?

Lasso vs Ridge

<h1>Binary Tree Validation</h1>

You are given the root of a binary tree. You need to determine if it is a valid binary search tree (BST).

A valid BST is defined as follows:

<ul>
<li>The left subtree of a node contains only nodes with values less than or equal to the node’s value.</li>
<li>The right subtree of a node contains only nodes with values greater than or equal to the node’s value.</li>
<li>Both the left and right subtrees must also be binary search trees.</li>
</ul>

Given the function <code>def is_valid_bst(root: Node) -&gt; bool:</code>, return True if the binary tree is a valid BST. Otherwise, return False.

<h3>Example:</h3>

Input:

<img src="https://d2qpirhrfplx04.cloudfront.net/9664817c-3e12-4a40-9236-8382b13f55a0.png" alt="image"/>Converted Binary Tree.png

Output:

<pre tabindex="0" class="chroma"><code>def is_valid_bst(Node(3)) -&gt; True
</code></pre>

Given the root node, verify if a binary search tree is valid or not.

Binary Tree Validation

How would you convey insights and the methods you use to a non-technical audience?

Making data-driven insights actionable for those without technical expertise

Simple Explanations

Let’s say you are working on Google Docs. A product manager comes to you and asks how the product is doing. 

What are the top five metrics that you would start tracking to understand the health of Google Docs?

Docs Metrics

Product Sense & Metrics

What’s the relationship between PCA and K-means clustering?

What does the variable “k” in k-means clustering refer to?

What does the variable "k" in k-means clustering refer to?

Input of K-means

PCA and K-Means

Challenge

Applied Intuition Salaries by Position

Job Summary: 
Applied Intuition is powering the future of physical AI, creating the digital infrastructure for intelligent machines. They are seeking a Software Engineer - New Grad to work on full-stack, infrastructure, robotics, and graphics challenges in autonomy. 
Responsibilities: 
• Work across our entire stack to develop new products, features, and tools for our customers' autonomy development workflows • Have an unparalleled opportunity to work with domain experts across a variety of fields: infrastructure, robotics, and graphics engineers, as well as startup veterans • Carve out your own area of expertise and influence product decisions • Collaborate with other members in the autonomy ecosystem and learn about different approaches to solving core issues in autonomy 
Qualifications: 
Required: 
• A Bachelor's degree in computer science, computer engineering, or equivalent • Internship experience (full time experience not necessary) • Proven ability as a self-starter and can quickly become comfortable with new technical tools • Designed efficient and effective solutions to a wide range of engineering challenges • Experience taking initiative in a fast-paced environment 
Preferred: 
• Working knowledge of frontend, API layer, database ORM, containerization, or cluster orchestration frameworks (such as React, GraphQL, SQLAlchemy, Docker, or Kubernetes) • Experience working with simulation tools, modeling physical problems, or using robotics middleware (such as ROS) 
Company: 
Applied Intuition provides software infrastructure to safely develop, test, and deploy autonomous vehicles  at scale. Founded in 2017, the company is headquartered in Mountain View, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

<h5>Senior Product Manager - Autonomy </h5>Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers build intelligent systems, create next-generation experiences, and shorten time to market. 18 of the top 20 global automakers trust Applied Intuition's solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) <h5>About the Role </h5>Applied is looking for a Product Manager who is passionate about building products in the Autonomous Vehicle industry. This is an important role where you will own a product end-to-end and will drive both the product strategy and execution. <h5>At Applied Intuition, You Will: </h5><ul> <li>Define platform products based on deep understanding of the markets, anticipate customer use cases, and time to market </li><li>Develop differentiated value proposition in the market, focused on customers </li><li>Collaborate closely with engineering to implement the product, helping them to focus on impactful deliverables, through effective prioritization and exceeding customer expectations </li><li>Manage complete product lifecycle from discovery to delivery, realizing business outcome of the product </li><li>Collaborate with business development team, sales and marketing to define the customer pitches, engagement models, go-to-market positioning & strategy and pricing model through the sales process </li><li>Regularly interact with customers to gather feedback and ensure that it is incorporated in the product </li></ul> <h5>We're Looking For Someone Who Has: </h5><ul> <li>5+ years experience in Product Management position in a top tech company or high growth startup </li><li>Experience in successfully launching an embedded product, with a good balance of software and hardware </li><li>Knowledge of embedded technology areas, with exposure to hardware elements as microprocessor / microcontrollers, peripherals, connectivity or any other hardware aspect. </li><li>Experience of working on automotive embedded products is a plus (advantage) </li><li>Strong technical embedded background with understanding and/or hands-on experience in embedded platform level software development </li><li>MS/BS degree in Computer Science, Engineering or equivalent required </li><li>Ability to manage all aspects of a successful embedded product throughout its lifecycle </li><li>Ambitious personality with a drive to execute and win </li><li>Excellent written and verbal communication skills </li></ul> <h5>Nice To Have: </h5><ul> <li>Master's degree from a top program to develop the foundation of strong technical knowledge for product management </li><li>Previous founder who can grasp quickly when there is a product market fit </li><li>Exposure to hypergrowth at a startup from Series A to IPO </li><li>Prior experience in developing products for automotive applications </li></ul> Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $ 125,000 - $252,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

<h5>Staff Data Platform Engineer - Data Engine </h5>Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA. <h5>About the Role </h5>We are looking for a Staff Data Platform Engineer to shape the strategy, architecture, and execution of our next-generation data ecosystem. In this role, you will partner closely with our autonomy stack teamsthe "customers" of our platformto deeply understand their workflows, pain points, and evolving needs. You will lead the design and development of robust, scalable, and data-intensive distributed systems that power the full lifecycle of autonomous driving data: collection, ingestion, curation, machine learning training, and evaluation. You'll be a key decision-maker in defining best practices, data contracts, and integration patterns across upstream and downstream systems. This is a highly impactful role for someone who thrives at the intersection of technical leadership, system design, and cross-team collaboration, and who wants to elevate the capabilities of our data platform to support cutting-edge ML and autonomy development. <h5>At Applied Intuition, You Will: </h5><ul> <li>Drive Data Platform Strategy </li><li>Partner with Customers </li><li>Lead Complex Workflow Development </li><li>Establish Data Contracts </li><li>Set Best Practices </li><li>Mentor and Influence </li><li>Collaborate Across Functions </li></ul> <h5>We're Looking For Someone Who Has: </h5><ul> <li>10+ years of experience in data engineering, distributed systems, or related backend engineering roles </li><li>Proven track record of architecting and building large-scale, data-intensive, distributed systems </li><li>Deep experience with complex ETL pipelines, data ingestion frameworks, and data processing engines </li><li>Strong understanding of data modeling, partitioning, schema evolution, and metadata management at scale </li><li>Hands-on experience with cloud object stores, lakehouse architectures, and data warehouse technologies </li><li>Ability to drive technical discussions with both engineers and non-technical stakeholders </li><li>Strong communication and leadership skills, with the ability to influence across teams and functions </li></ul> <h5>Nice To Have: </h5><ul> <li>Experience supporting ML/AI workflows at scale </li><li>Familiarity with data governance, lineage tracking, and observability tools </li><li>Experience in autonomous systems, robotics, or other high-volume sensor data domains </li><li>Contributions to open-source data infrastructure projects </li></ul> <h5>Why Join Us? </h5>You'll be at the heart of enabling autonomous driving innovationbuilding the systems that allow teams to harness massive amounts of real-world and simulated data for developing and validating our stack. You'll have the autonomy to set the technical direction, the opportunity to solve some of the hardest data engineering problems, and the ability to make a measurable impact on the success of our platform and products. Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. The base salary range for this full-time position in the location listed is: $153,000 - $222,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

<h5>Product Manager - Vehicle Os </h5>Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the ADAS/AD toolchain, Vehicle OS, and autonomy stack to help customers build intelligent systems, create next-generation experiences, and shorten time to market. 18 of the top 20 global automakers trust Applied Intuition's solutions to drive the production of modern vehicles. Applied Intuition serves the automotive, trucking, construction, mining, agriculture, and defense industries and is headquartered in Mountain View, CA, with offices in San Diego, CA, Ft. Walton Beach, FL, Ann Arbor and Detroit, MI, Washington, D.C., Stuttgart, Munich, Stockholm, Seoul, and Tokyo. We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.) <h5>About The Role </h5>Applied is looking for a Product Manager who is passionate about building products in the Autonomous Vehicle industry. This is an important role where you will own a product end-to-end and will drive both the product strategy and execution. <h5>At Applied Intuition, You Will: </h5><ul> <li>Define platform products based on deep understanding of the markets, anticipate customer use cases, and time to market </li><li>Develop differentiated value proposition in the market, focused on customers </li><li>Collaborate closely with engineering to implement the product, helping them to focus on impactful deliverables, through effective prioritization and exceeding customer expectations </li><li>Manage complete product lifecycle from discovery to delivery, realizing business outcome of the product </li><li>Collaborate with business development team, sales and marketing to define the customer pitches, engagement models, go-to-market positioning & strategy and pricing model through the sales process </li><li>Regularly interact with customers to gather feedback and ensure that it is incorporated in the product </li></ul> <h5>We're Looking For Someone Who Has: </h5><ul> <li>5+ years experience in Product Management position in a top tech company or high growth startup </li><li>Experience in successfully launching an embedded product, with a good balance of software and hardware </li><li>Knowledge of embedded technology areas, with exposure to hardware elements as microprocessor / microcontrollers, peripherals, connectivity or any other hardware aspect. </li><li>Experience of working on automotive embedded products is a plus (advantage) </li><li>Strong technical embedded background with understanding and/or hands-on experience in embedded platform level software development </li><li>MS/BS degree in Computer Science, Engineering or equivalent required </li><li>Ability to manage all aspects of a successful embedded product throughout its lifecycle </li><li>Ambitious personality with a drive to execute and win </li><li>Excellent written and verbal communication skills </li></ul> <h5>Nice To Have: </h5><ul> <li>Master's degree from a top program to develop the foundation of strong technical knowledge for product management </li><li>Previous founder who can grasp quickly when there is a product market fit </li><li>Exposure to hypergrowth at a startup from Series A to IPO </li><li>Prior experience in developing products for automotive applications </li></ul> Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position. Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $ 125,000 - $252,000 USD annually. Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

<div><h2>Engineering Manager - Software Quality Operations</h2>Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self-Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo.We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.)<h3>About the Role</h3>We are looking for an Engineering Manager for Software Quality Operations, who will lead two complementary functions, Triage Engineering (handling failure analysis, reproduction, feedback loops) and Scenario Engineering (scenario library creation, coverage definition, simulation test development), and ensure they work collaboratively, efficiently, and at scale. You'll help shape the technical vision, scale a high-performing team, and drive execution with cross-functional stakeholders in Product, Engineering, and Sales.<h3>At Applied Intuition, You Will:</h3><ul><li>Grow and manage a high-performing team of Triage Engineers and Scenario Engineers</li><li>Own triage operations: establish workflows for ingesting data, prioritizing failures, reproducing issues, assigning to appropriate owners, and closing the loop with development teams</li><li>Own scenario engineering operations: define a scenario library covering relevant operating design domains, define safety/comfort metrics, partner with product/engineering to drive scenario reuse, and ensure metrics & visualizations support decision-making</li><li>Build tooling, automation, dashboards and processes that enable scalable ops</li><li>Partner cross-functionally with Software Engineering, Systems Engineering, Safety, Simulation, and Product teams - align on risk, coverage gaps, root-cause trends, and process improvements</li><li>Define and monitor key performance indicators for both functions</li><li>Influence road-map decisions: provide actionable feedback from triage findings and scenario coverage gaps into product/engineering strategy</li><li>Ensure team compliance with relevant safety/quality standards and best practices</li></ul><h3>We're Looking For Someone Who Has:</h3><ul><li>Bachelor's or higher degree in Engineering such as Computer Science, Electrical Engineering, Systems Engineering, Software Engineering, Robotics highly preferred; or at least 4 years of equivalent knowledge and work experience</li><li>2+ years of experience leading or managing a team that will make an impact on safety, reliability, and customer trust</li><li>2+ years of professional experience working on safety critical and complex systems such as Robotics, Autonomous Vehicles, Automotive, or Aerospace Technologies</li><li>Experience with software engineering concepts, including requirements analysis, source control, build processes, design reviews</li><li>Experience with Linux and scripting languages (E.g: Bash/Shell, Python)</li><li>Experience using issue tracking and configuration management tools (E.g: Atlassian Confluence, Jira, Bitbucket, Git)</li><li>Strong troubleshooting, debugging, and analytical and creative problem solving skills</li></ul>Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $160,000 - $220,000 USD annually.Don't meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.</div>

<div><h2>Engineering Manager - Behavior</h2>As an Engineering Manager on the Trucking Autonomy team, you'll lead a world-class group of engineers focused on building and deploying scalable behavior systems for commercial trucking. You will own the architecture and delivery of a next-generation system, focusing on intelligent behavior in high-traffic highway and suburban environments. This opportunity includes driving critical architectural and business decisions, mentoring and building high-impact teams, and owning a significant portion of our autonomy stack for trucking that has significant contract value and business opportunity.At Applied Intuition, you will:<ul><li>Drive the overall strategy, technical roadmap, and architecture for behavior planning dedicated to L4 autonomous trucks</li><li>Guide the design and implementation of robust, safety-critical algorithms for various driving domains, including urban streets, highways, and diverse environmental conditions</li><li>Grow and manage a team of world class engineers in the field of behavior system</li><li>Evolve the architecture to achieve the final goal of an L4 end-to-end stack</li><li>Work cross functionally with other teams, including Perception, Simulation, and Vehicle Operations, to ensure the robust and efficient integration of the behavior software stack</li></ul>We're looking for someone who has:<ul><li>5+ years of experience in robotics or autonomous systems, with a focus on behavior systems</li><li>Experience in two or more of the following: behavior planning, decision making under uncertainty, path planning, motion planning, probabilistic reasoning, prediction, machine learning, trajectory generation</li><li>Demonstrated ability to architect large-scale, production software for real-world robotic or automotive systems</li><li>Proven leadership experience managing engineering teams, setting goals, and overseeing technical projects</li><li>Strong communication and problem-solving skills</li></ul>Nice to have:<ul><li>Direct experience working in the Trucking autonomy domain</li><li>Hands-on experience building ML-driven and rule-based behavior planning, intent detection, or risk assessment modules</li><li>Demonstrated success in applying machine learning and AI processes to complex decision-making frameworks for autonomous vehicles</li></ul>Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.Please reference the job posting's subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $204,000 - $343,000 USD annually.</div>

A leading vehicle intelligence company seeks an Engineering Manager for its Trucking Autonomy team. The role requires 5+ years of management experience in perception or machine learning, focusing on scalable algorithm development for commercial trucking. The successful candidate will lead cross-functional collaborations and guide the evolution of an L4 autonomy stack. A competitive compensation range of $204,000 - $343,000 annually is offered, alongside comprehensive benefits including equity options and healthcare.
 #J-18808-Ljbffr

<h5>Senior Electronic Warfare Software Engineer</h5>
 Join to apply for the Senior Electronic Warfare Software Engineer role at Applied Intuition.
 <h5>About Applied Intuition</h5>
 Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI‑driven machines. Founded in 2017 and now valued at $15 billion following its recent Series F funding round, Applied Intuition delivers the Vehicle OS, Self‑Driving System, and toolchain to help customers build intelligent vehicles and shorten time to market. 18 of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition’s solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Bangalore, Seoul, and Tokyo. Learn more at applied.co.
 We are an in‑office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.)
 <h5>About EpiSci</h5>
 EpiSci, an Applied Intuition company, develops next‑generation, tactical autonomy solutions for national security problems. EpiSci’s autonomy software is technology agnostic, operationally informed, tactically relevant, and has piloted swarms of uncrewed aerial systems and tactical fighter aircraft. Additional applications include crewed‑uncrewed teaming for air dominance, cognitive sensors, and networks for advanced communications systems, as well as battle management command and control for informed decision‑making. EpiSci delivers unmatched speed, cost‑efficiency, and scalability as the preferred partner for defense agencies and industry teams seeking mission‑critical autonomy solutions.
 <h5>About The Role</h5>
 We are seeking an experienced Electronic Warfare (EW) engineer to join our cognitive sensing and radio frequency (CSRF) engineering team. The ideal candidate will play a significant role in designing, developing, and implementing cutting‑edge EW software solutions that align with our mission to deliver advanced technologies in signal and electronic intelligence (SIGINT and ELINT). This position requires extensive expertise in radar signal processing, modeling radars, software development, and applications of interest in the defense space.
 <h5>Responsibilities</h5>
 <ul>
 <li>Design and develop signal processing algorithms for radar receivers and transmitters.</li>
 <li>Implement radar models, waveforms, and algorithms in a complex simulation environment.</li>
 <li>Stay up‑to‑date with the latest advancements in electronic warfare techniques, algorithms and models, and implement best practices.</li>
 <li>Execute and support the engineering aspects of contracts in radar signal processing.</li>
 </ul>
 <h5>Qualifications</h5>
 <ul>
 <li>Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field.</li>
 <li>Experience modeling complex radar systems.</li>
 <li>Strong programming skills in scripting (e.g., Python) and compiled languages (e.g., C and C++).</li>
 <li>Ability to translate radar specification documents into working software suites.</li>
 <li>Experience designing, developing, and evaluating radar modeling and simulations for applications in electronic warfare.</li>
 <li>Ability to transition software simulation applications that are deployed on hardware.</li>
 <li>Passion for solving complex problems with little supervision in a fast‑moving team.</li>
 <li>Ability to work in a fast‑paced, highly collaborative, and rapidly changing environment.</li>
 </ul>
 <h5>Travel Requirements</h5>
 <ul>
 <li>Must be willing to travel as projects require. Estimated average travel is once every month for between 2 days up to 1 week. (~25 %).</li>
 </ul>
 <h5>Security Requirements</h5>
 <ul>
 <li>Must be a U.S. Citizen.</li>
 <li>Must have an active U.S. security clearance.</li>
 </ul>
 <h5>Nice to Have</h5>
 <ul>
 <li>5+ years experience with software implementation of radar signal processing algorithms.</li>
 <li>Well versed in cognitive electronic warfare techniques.</li>
 <li>Software integration and understanding of electronic warfare systems.</li>
 </ul>
 <h5>Compensation</h5>
 Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401 k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.
 Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.
 Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full‑time position in the location listed is: $155,000 to $190,000 USD annually.
 <h5>Additional Information</h5>
 Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
 Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60‑1.4(a), 41 CFR 60‑300.5(a) and 41 CFR 60‑741.5(a) and that these regulations are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.
 <h5>Seniority level</h5>
 Mid‑Senior level
 <h5>Employment type</h5>
 Full‑time
 <h5>Job function</h5>
 Engineering and Information Technology
 <h5>Industries</h5>
 Software Development
 Referrals increase your chances of interviewing at Applied Intuition by 2x 
 #J-18808-Ljbffr

About Applied Intuition
Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com .
We are an in-office company, and our expectation is that employees primarily work from their Applied Intuition office 5 days a week. However, we also recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. (Note: For EpiSci job openings, fully remote work will be considered by exception.)
About the role
Applied Intuition is building an end-to-end product that empowers government teams to rapidly develop, deploy, evaluate, and operationalize machine learning models for critical national security applications. This is a ground-up initiative, offering the unique opportunity to build a vital solution from 0 to 1 and then scale it to meet significant demands. You'll be a foundational member of a fast-moving team, directly impacting strategic capabilities and enhancing national defense.
As a full-stack engineer, you'll be involved in all aspects of the product lifecycle, from initial design and development to ongoing support in challenging operational environments. You'll work closely with our government customers, understanding their unique requirements and rapidly iterating on solutions to deliver maximum impact on critical missions. You will be critical in bringing the latest and greatest software advancements to the warfighter.
At Applied Intuition, you will:

Design, develop, and maintain a complete end-to-end product enabling government programs to effectively collect and manage data for ATR (automated target recognition)

Work across the full stack: frontend, backend, data management, and cloud & edge infrastructure

Build and optimize robust data pipelines to support data collection, data labeling, data indexing, machine learning model training, and inference

Work on ML-adjacent tooling and infrastructure that facilitates the entire machine learning lifecycle

Collaborate directly with government customers to gather requirements, provide technical support, and ensure our solution meets their evolving needs

Lead the development of features from inception to delivery, taking ownership of key components

Help architect and scale our product as it grows, ensuring performance, reliability, and security

We're looking for someone who has:

Passion for the defense and national security space

Proven experience as a full-stack software engineer

Familiarity with building and managing data pipelines

Experience with or a strong interest in machine learning adjacent work

A track record of building software solutions from scratch (0->1) and scaling them

Excellent communication skills and the ability to work closely with customers to understand their needs and deliver impactful solutions

U.S. Citizenship

Nice to have:

Willingness to get clearance, previous security clearance, or active security clearance

Experience working with defense technology in Silicon Valley

Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment.
Applied Intuition pay ranges reflect the minimum and maximum intended target base salary for new hire salaries for the position. The actual base salary offered to a successful candidate will additionally be influenced by a variety of factors including experience, credentials & certifications, educational attainment, skill level requirements, interview performance, and the level and scope of the position.
Please reference the job posting’s subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $153,000 - 222,000USD annually.
Don’t meet every single requirement? If you’re excited about this role but your past experience doesn’t align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles.
Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. These regulations require that covered prime contractors and subcontractors take affirmative action to employ and advance in employment individuals without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status or disability. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws.

<h5>Senior Electronic Warfare Software Engineer </h5>Tucson, Arizona, United States <h5>About Applied Intuition </h5>Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition serves the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at appliedintuition.com. We are an in-office company, and our expectation is that employees primarily work from an Applied Intuition office 5 days a week. However, we recognize the importance of flexibility and trust our employees to manage their schedules responsibly. This may include occasional remote work, starting the day with morning meetings from home before heading to the office, or leaving earlier when needed to accommodate family commitments. <h5>About EpiSci </h5>EpiSci, an Applied Intuition company, develops next-generation, tactical autonomy solutions for national security problems. EpiSci's autonomy software is technology agnostic, operationally informed, tactically relevant, and has piloted swarms of uncrewed aerial systems and tactical fighter aircraft. Additional applications include crewed-uncrewed teaming for air dominance, cognitive sensors, and networks for advanced communications systems, as well as battle management and control for informed decision-making. EpiSci delivers unmatched speed, cost-efficiency, and scalability as the preferred partner for defense agencies and industry teams seeking mission-critical autonomy solutions. <h5>About the role </h5>We are seeking an experienced Electronic Warfare (EW) engineer to join our cognitive sensing and radio frequency (CSRF) engineering team. The ideal candidate will play a significant role in designing, developing, and implementing cutting-edge EW software solutions that align with our mission to deliver advanced technologies in signal and electronic intelligence (SIGINT and ELINT). This position requires extensive expertise in radar signal processing, modeling radars, software development, and applications of interest in the defense space. <h5>Responsibilities </h5><ul> <li>Design and develop signal processing algorithms for radar receivers and transmitters </li><li>Implement radar models, waveforms, and algorithms in a complex simulation environment </li><li>Stay up-to-date with the latest advancements in electronic warfare techniques, algorithms and models, and implement best practices </li><li>Execute and support the engineering aspects of contracts in radar signal processing </li></ul> <h5>Qualifications </h5><ul> <li>Bachelors or Masters degree in Computer Science, Electrical Engineering, Computer Engineering, or a related field </li><li>Experience modeling complex radar systems </li><li>Strong programming skills in scripting (e.g., Python) and compiled languages (e.g., C and C++) </li><li>Ability to translate radar specification documents into working software suites </li><li>Experience designing, developing, and evaluating radar modeling and simulations for applications in electronic warfare </li><li>Ability to transition software simulation applications that are deployed on hardware </li><li>Passion for solving complex problems with little supervision in a fast-moving team </li><li>Ability to work in a fast-paced, highly collaborative, and rapidly changing environment </li></ul> <h5>Travel Requirements </h5><ul> <li>Must be willing to travel as projects require. Estimated average travel is once every month for between 2 days up to 1 week (approximately 25%). </li></ul> <h5>Security Requirements </h5><ul> <li>Must be a U.S. Citizen </li><li>Must have an active U.S. security clearance </li></ul> For more information about U.S. security clearances, please visit the applicable government resources. <h5>Nice to have </h5><ul> <li>5+ years experience with software implementation of radar signal processing algorithms </li><li>Well versed in cognitive electronic warfare techniques </li><li>Software integration and understanding of electronic warfare systems </li></ul> Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or RSUs, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Benefits are subject to change and may vary based on jurisdiction of employment. Please reference the job postings subtitle for where this position will be located. For pay transparency purposes, the base salary range for this full-time position in the location listed is: $155,000 to $190,000 USD annually. Note: Dont meet every single requirement? If you're excited about this role but your past experience doesn't align perfectly with every qualification in the job description, we encourage you to apply anyway. You may be just the right candidate for this or other roles. Equal Employment Opportunity Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. The company complies with applicable EEO laws and regulations. #J-18808-Ljbffr

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