Supernal Research Scientist Interview Questions + Guide in 2025

Supernal is pioneering the development of advanced mobility solutions, particularly focusing on electric vertical take-off and landing (eVTOL) aircraft, to create human-centered cities and improve urban transportation.

The Research Scientist role at Supernal involves a blend of innovation, technical expertise, and collaboration. You will be responsible for the design, development, and verification of algorithms related to aircraft flight automation, including navigation, perception, and path planning. A critical aspect of this role is to proactively research emerging technologies and sensors, aiming to create advanced positioning and perception systems for autonomous air mobility (AAM).

To excel as a Research Scientist at Supernal, you should possess a strong understanding of control systems, estimation and filtering techniques, and significant experience in developing embedded software for aviation, automotive, or robotics applications. Proficiency in programming languages such as C++ and Python is essential, along with experience in model-based design tools like MATLAB/Simulink. Excellent scientific writing, communication skills, and the ability to work collaboratively in a team-oriented environment are vital traits. A self-motivated and forward-thinking personality will also help you thrive within the innovative culture at Supernal that values creative thinking and collaboration.

This guide will equip you with insights and a targeted approach to prepare for your interview, enabling you to demonstrate your fit for the role and the company’s vision effectively.

The interview process for a Research Scientist at Supernal is designed to assess both technical expertise and cultural fit within the organization. It typically consists of several structured rounds, each focusing on different aspects of the candidate's qualifications and experiences.

1. Initial Screening

The process begins with an initial screening, usually conducted by a recruiter. This is a brief phone call where the recruiter will discuss the role, the company culture, and your background. They will assess your interest in the position and determine if your qualifications align with the requirements of the role. This stage is also an opportunity for you to ask questions about the company and the team.

2. Technical Interview

Following the initial screening, candidates typically undergo a technical interview. This may involve a one-on-one session with a team lead or a technical expert. During this interview, you can expect to face challenging questions related to algorithms, control systems, and programming languages such as Python and C++. The interviewers will be interested in your problem-solving abilities and your experience with relevant technologies, including sensor calibration and embedded software development.

3. Panel Interview

The next step is often a panel interview, which consists of multiple one-on-one interviews with various team members. This stage is designed to evaluate both technical and behavioral competencies. Interviewers will delve into your past experiences, asking you to elaborate on specific projects and how you approached challenges. They will also assess your ability to work collaboratively within a team and your communication skills. Be prepared for questions that explore your understanding of advanced topics such as reinforcement learning and sensor fusion.

4. Final Interview

In some cases, there may be a final interview with a senior manager or director. This round typically focuses on your long-term career goals, your fit within the company culture, and your vision for contributing to Supernal's mission. This is also a chance for you to ask more in-depth questions about the company's future projects and initiatives.

Throughout the interview process, candidates should be prepared for potential delays or rescheduling, as there have been reports of disorganization in scheduling. However, the interviewers are generally described as friendly and professional, making the experience more comfortable despite any logistical challenges.

As you prepare for your interviews, consider the specific skills and experiences that will be most relevant to the role, as well as the unique aspects of Supernal's mission and culture. Next, let's explore the types of questions you might encounter during the interview process.

Here are some tips to help you excel in your interview.

Understand the Interview Structure

The interview process at Supernal typically involves multiple rounds, including individual interviews with team members and a panel review. Familiarize yourself with this structure and prepare to engage with various interviewers. Each interviewer may focus on different aspects of your experience, so be ready to discuss both technical and behavioral topics. Given the feedback from previous candidates, it’s crucial to be patient and adaptable, as the process can sometimes be disorganized.

Showcase Your Technical Expertise

As a Research Scientist, you will be expected to demonstrate a strong command of algorithms, control systems, and programming languages like Python and C++. Brush up on your knowledge of estimation and filtering techniques, as well as your experience with embedded software development. Be prepared to discuss specific projects where you applied these skills, and consider bringing examples of your work that highlight your problem-solving abilities in real-world scenarios.

Communicate Clearly and Effectively

Excellent communication skills are essential for this role. Practice articulating your thoughts clearly and concisely, especially when discussing complex technical concepts. Be prepared to explain your past experiences in a way that demonstrates your ability to collaborate with others and contribute to team goals. Remember, the interviewers are looking for candidates who can not only solve problems but also communicate their solutions effectively.

Prepare Thoughtful Questions

At the end of your interviews, you will likely have the opportunity to ask questions. Use this time to inquire about the company culture, team dynamics, and ongoing projects. Candidates have noted that interviewers appreciate genuine curiosity about the organization. Asking insightful questions can also help you gauge whether Supernal is the right fit for you.

Embrace the Company Culture

Supernal values creativity, collaboration, and a forward-thinking mindset. Reflect on how your personal values align with the company’s mission to create innovative mobility solutions. Be prepared to share examples of how you have demonstrated these qualities in your previous roles. This alignment can help you stand out as a candidate who not only possesses the necessary skills but also fits well within the company culture.

Stay Positive and Resilient

Given the mixed experiences shared by candidates regarding the interview process, it’s important to maintain a positive attitude throughout. If you encounter any hiccups, such as delays or disorganization, remain professional and adaptable. Your ability to handle unexpected situations gracefully can leave a lasting impression on your interviewers.

By following these tips and preparing thoroughly, you can position yourself as a strong candidate for the Research Scientist role at Supernal. Good luck!

In this section, we’ll review the various interview questions that might be asked during a Research Scientist interview at Supernal. The interview process will likely focus on your technical expertise, problem-solving abilities, and how well you can collaborate with a team. Be prepared to discuss your experience with algorithms, control systems, and sensor technologies, as well as your approach to research and development in the context of emerging mobility solutions.

Technical Expertise

1. Can you explain the difference between a pointer and a reference in programming?

Understanding the nuances of memory management is crucial for a Research Scientist role, especially when working with embedded systems.

How to Answer

Discuss the definitions of pointers and references, emphasizing their use cases and implications in memory management.

Example

“A pointer is a variable that holds the memory address of another variable, allowing for dynamic memory allocation and manipulation. In contrast, a reference is an alias for another variable, providing a safer and more straightforward way to access data without the risk of memory leaks or dangling pointers.”

2. Describe your experience with sensor calibration. What techniques have you used?

Sensor calibration is vital for ensuring accurate data collection in autonomous systems.

How to Answer

Detail specific calibration techniques you have employed, including any relevant tools or methodologies.

Example

“I have experience using both static and dynamic calibration techniques for sensors like Lidar and cameras. For instance, I utilized a checkerboard pattern for intrinsic camera calibration and employed a calibration rig for Lidar to ensure accurate distance measurements.”

3. What algorithms have you implemented for path planning in autonomous systems?

Path planning is a key component of flight automation and requires a solid understanding of algorithms.

How to Answer

Discuss specific algorithms you have worked with, such as A*, Dijkstra’s, or RRT, and the contexts in which you applied them.

Example

“I implemented the A* algorithm for path planning in a drone navigation system, optimizing for both distance and energy consumption. This involved creating a heuristic based on the drone's current position and destination, which significantly improved the efficiency of the route taken.”

4. How do you approach the implementation of distributed resilient algorithms?

This question assesses your understanding of algorithm design in the context of autonomous systems.

How to Answer

Explain your methodology for designing and implementing distributed algorithms, including considerations for resilience and fault tolerance.

Example

“I focus on modular design principles when implementing distributed algorithms, ensuring that each module can operate independently. For instance, I developed a consensus algorithm that allowed multiple nodes to agree on a state even in the presence of faulty nodes, enhancing the system's overall resilience.”

5. Can you discuss your experience with reinforcement learning techniques?

Reinforcement learning is increasingly relevant in autonomous systems, and your familiarity with it will be assessed.

How to Answer

Share specific projects or applications where you applied reinforcement learning, including the outcomes.

Example

“I applied reinforcement learning to optimize the flight paths of UAVs in a simulated environment. By using Q-learning, I was able to train the UAVs to adapt their routes based on real-time environmental feedback, which improved their efficiency in navigating complex terrains.”

Collaboration and Communication

1. Describe a time when you had to work collaboratively with a team on a complex project.

Collaboration is essential in a multidisciplinary environment like Supernal.

How to Answer

Highlight your role in the team, the challenges faced, and how you contributed to the project's success.

Example

“I worked on a project that involved integrating various sensor technologies for an eVTOL aircraft. My role was to coordinate between the software and hardware teams, ensuring that the sensor data was accurately processed. Regular meetings and open communication helped us overcome integration challenges and meet our deadlines.”

2. How do you prioritize tasks when working on multiple projects?

Effective prioritization is key in a fast-paced research environment.

How to Answer

Discuss your approach to task management and how you ensure deadlines are met without compromising quality.

Example

“I use a combination of project management tools and regular check-ins with my team to prioritize tasks. I assess the urgency and impact of each task, focusing on high-priority items that align with project goals. This approach has helped me manage multiple projects effectively while maintaining quality.”

3. What strategies do you use to communicate complex technical information to non-technical stakeholders?

Being able to convey technical concepts clearly is crucial for collaboration.

How to Answer

Share your techniques for simplifying complex information and ensuring understanding.

Example

“I often use visual aids, such as diagrams and flowcharts, to illustrate complex concepts. Additionally, I tailor my language to the audience, avoiding jargon and focusing on the implications of the technology rather than the technical details.”

4. How do you handle conflicts within a team?

Conflict resolution is an important skill in collaborative environments.

How to Answer

Describe your approach to resolving conflicts, emphasizing communication and understanding.

Example

“When conflicts arise, I believe in addressing them directly and openly. I encourage team members to express their concerns and facilitate a discussion to find common ground. This approach has often led to constructive solutions and strengthened team dynamics.”

5. What do you believe is the key to successful teamwork in a research environment?

This question assesses your understanding of teamwork dynamics.

How to Answer

Discuss the importance of communication, trust, and shared goals in effective teamwork.

Example

“Successful teamwork hinges on clear communication and mutual respect. Establishing trust among team members allows for open dialogue, which is essential for addressing challenges and achieving our shared research objectives.”