PALO ALTO NETWORKSis the fastest-growing security company in history. We offer the chance to be part of an important mission: ending breaches and protecting our way of digital life. If you are a motivated, intelligent, creative, and hardworking individual, then this job is for you!DESCRIPTION:The Palo Alto Networks Data Science team uses data science and machine learning to solve problems throughout the company.In the words of one of our members: we develop machine learning based highly scalable solutions to address cyber security challenges.We are looking for a talented and motivated machine learning engineer that can help us build the next generation of our tools.KEY TO SUCCESS FOR THIS POSITION:Were looking for an experienced Machine Learning Software Engineer that has used machine learning development tools and implemented models to build data pipelines in delivering real-world applications. This development background and experience is required.RESPONSIBILITIES:Design and deploy machine learning pipelines on highly scalable distributed clustersInnovate new ways to use existing technologies, incorporate novel open source technologies, and come up with their own solutions to our machine learning problems.Work closely with teams of expert engineers and data scientistsBuild Deep Learning Technology for solving security problems.QUALIFICATIONS:Excellent programmer, especially with distributed systems like Hadoop or SparkStrong working knowledge of Deep Learning TechnologiesExperience in Data Mining/Information Retrieval with large dataStrong problem-solving skills, ability to analyze complex multivariate problems and use a systematic approach to gain quick resolutionPHD or MS in CS with 4 years of industry experience in ML/Big DataLearn more about Palo Alto Networkshereand check out ourfast facts#LI-PALSAAS#J-18808-Ljbffrby Jobble

Company:Qualcomm Technologies, Inc.Job Area:Engineering Group, Engineering Group > Software Applications EngineeringGeneral Summary:The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. Qualcomms Cloud AI 100 accelerators are currently deployed at AWS (https://aws.amazon.com/ec2/instance-types/dl2q/) / Cirrascale (https://cirrascale.com/solutions-qualcomm-cloud-ai100.php) Cloud and at several large organizations. We are rapidly expanding our ML hardware and software solutions for large scale deployments and are hiring across many disciplines.We are seeing to hire for multiple machine learning positions in the Qualcomm Cloud team. In this role, you will work with Qualcomm's partners to develop and deploy best in class ML applications (CV, NLP, GenAI, LLMs etc) based on popular frameworks such as PyTorch, TensorFlow and ONNX, that are optimized for Qualcomm's Cloud AI accelerators. The work will include model assessment of throughput, latency and accuracy, model profiling and optimization, end-to-end application pipeline development, integration with customer frameworks and libraries and responsibility for customer documentation, training, and demos.This candidate must possess excellent communication, leadership, interpersonal and organizational skills, and analytical skills.This role will interact with individuals of all levels and requires an experienced, dedicated professional to effectively collaborate with internal and external stakeholders.The ideal candidate has either developed or deployed deep learning models on popular ML frameworks.If you have a strong appetite for technology and enjoy working in small, agile, empowered teams solving complex problems within a high energy, oftentimes chaotic environment then this is the role for you.Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Applications Engineering, Software Development experience, or related work experience.ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Applications Engineering, Software Development experience, or related work experience.ORPhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Applications Engineering, Software Development experience, or related work experience. 2+ years of experience with Programming Language such as C, C++, Java, Python, etc. 1+ year of experience with debugging techniques.Key Responsibilities:Key contributor to Qualcomms Cloud AI GitHub repo and developer documentation.Work with developers in large organizations toOnboard them on Qualcomms Cloud AI ML stackimprove and optimize their Deep Learning models on Qualcomm AI 100deploy their applications at scaleCollaborate and interact with internal teams to analyze and optimize training and inference for deep learning.Work on Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.Optimize LLM/GenAI workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems.Partner with product management, hardware/software engineering to highlight customer progress, gaps in product features etc.Minimum Qualifications:Masters's degree in Computer Science, Computer Engineering, electrical engineering or relevant technical field, or equivalent practical experience.5+ years of deep learning model development or deployment experience on CPUs/GPUs/ASICs.Excellent C/C++/Python programming and software design skills, including debugging, and performance analysis.Proven communications skills and demonstrated experience influencing cross functional teams.Preferred Qualifications:Hands-on experience running deep learning models on popular ML frameworks such as PyTorch, TensorFlow, ONNX, Caffe2Experience developing software solutions that run in Linux environments including containers (docker, K8s, Rancher etc) and virtual machines.Experience with Source code and configuration management tools, git knowledge is required.Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomms toll-free number found here (https://qualcomm.service-now.com/hrpublic?id=hr_public_article_view&sysparm_article=KB0039028) for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.Qualcomm is an equal opportunity employer and supports workforce diversity.To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification.Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.Pay range:$140,000.00 - $210,000.00The above pay scale reflects the broad, minimum to maximum, pay scale for this job code for the location for which it has been posted. Even more importantly, please note that salary is only one component of total compensation at Qualcomm. We also offer a competitive annual discretionary bonus program and opportunity for annual RSU grants (employees on sales-incentive plans are not eligible for our annual bonus). In addition, our highly competitive benefits package is designed to support your success at work, at home, and at play. Your recruiter will be happy to discuss all that Qualcomm has to offer!If you would like more information about this role, please contact Qualcomm Careers (http://www.qualcomm.com/contact/corporate) .EEO Employer: Qualcomm is an equal opportunity employer; all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or any other protected classification#J-18808-Ljbffrby Jobble

Overview: WHAT YOU DO AT AMD CHANGES EVERYTHINGWe care deeply about transforming lives with AMD technology to enrich our industry, our communities, and the world. Our mission is to build great products that accelerate next-generation computing experiences the building blocks for the data center, artificial intelligence, PCs, gaming and embedded. Underpinning our mission is the AMD culture. We push the limits of innovation to solve the worlds most important challenges. We strive for execution excellence while being direct, humble, collaborative, and inclusive of diverse perspectives. AMD together we advance_ Responsibilities: MACHINE LEARNING SOFTWARE DEVELOPMENT ENGINEER THE ROLE: As a Machine Learning Engineer specializing in low-level performance optimization, you will play a critical role in helping our customers to advance AMD-based machine learning infrastructure and ensuring the efficient deployment of state-of-the-art large models. You will be part of a dynamic team working on groundbreaking projects and will be responsible for optimizing model execution, including GPU kernels, both for inference and training, in a multi-GPU and multi-node environment. Your contributions will directly impact our ability to deliver cutting-edge AI solutions efficiently and at scale. <h1 style="margin: 0in; margin-left: .375in; font-family: Calibri; font-size: 16.0pt; color: #1e4e79;">Key Responsibilities</h1><ol style="direction: ltr; unicode-bidi: embed; margin-top: 0in; margin-bottom: 0in; font-family: Calibri; font-size: 12.0pt; font-weight: normal; font-style: normal;" type="1"><li style="margin-top: 0; margin-bottom: 0; vertical-align: middle; color: #374151;" value="1">GPU Kernel Optimization: Develop and optimize low-level GPU kernels to accelerate inference and training of large machine learning models. Maximize the computational efficiency and reduce execution time while ensuring model accuracy.</li><li style="margin-top: 0; margin-bottom: 0; vertical-align: middle; color: #374151;">Multi-GPU and Multi-Node Optimization: Design and implement strategies for distributed model training and inference across multiple GPUs and nodes. Address data parallelism and model parallelism challenges to fully utilize available resources.</li><li style="margin-top: 0; margin-bottom: 0; vertical-align: middle; color: #374151;">Performance Profiling: Profile and analyze system and application performance to identify bottlenecks and areas for improvement. Use profiling tools to understand and optimize hardware resource utilization.</li><li style="margin-top: 0; margin-bottom: 0; vertical-align: middle; color: #374151;">Parallel Computing: Leverage parallel computing techniques to improve the scalability and performance of machine learning workloads. Implement multi-threading and GPU synchronization techniques.</li><li style="margin-top: 0; margin-bottom: 0; vertical-align: middle; color: #374151;">Model Quantization: Explore and apply model quantization techniques to reduce memory and computation overhead, especially for edge and cloud deployment.</li><li style="margin-top: 0; margin-bottom: 0; vertical-align: middle; color: #374151;">Benchmarking and Testing: Develop benchmarks and testing procedures to assess the performance and stability of optimized models and frameworks. Ensure that the solutions meet or exceed the defined performance criteria.</li><li style="margin-top: 0; margin-bottom: 0; vertical-align: middle; color: #374151;">Collaboration: Collaborate closely with machine learning researchers, software engineers, and infrastructure teams to integrate optimized kernels and solutions into production systems.</li><li style="margin-top: 0; margin-bottom: 0; vertical-align: middle; color: #374151;">Documentation: Create detailed documentation of optimizations, best practices, and implementation guidelines to facilitate knowledge sharing and maintainable code.</li></ol> <h1 style="margin: 0in; margin-left: .375in; font-family: Calibri; font-size: 16.0pt; color: #1e4e79;">Qualifications</h1><ul style="direction: ltr; unicode-bidi: embed; margin-top: 0in; margin-bottom: 0in;" type="disc"><li style="margin-top: 0; margin-bottom: 0; vertical-align: middle; color: #374151;">A Bachelor, Master's or Ph.D. in Computer Science, Electrical Engineering, or a related field or equivalent practical experience.</li><li style="margin-top: 0; margin-bottom: 0; vertical-align: middle; color: #374151;">Solid understanding of GPU accelerators like ONNX, DeepSpeed, VLLM</li><li style="margin-top: 0; margin-bottom: 0; vertical-align: middle; color: #374151;">Strong experience in low-level GPU kernel optimization.</li><li style="margin-top: 0; margin-bottom: 0; vertical-align: middle; color: #374151;">Proficiency in CUDA and GPU programming.</li><li style="margin-top: 0; margin-bottom: 0; vertical-align: middle; color: #374151;">Experience with distributed computing and multi-GPU environments.</li><li style="margin-top: 0; margin-bottom: 0; vertical-align: middle; color: #374151;">Proficiency in performance profiling and optimization tools.</li><li style="margin-top: 0; margin-bottom: 0; vertical-align: middle; color: #374151;">Solid programming skills in Python and/or C++.</li><li style="margin-top: 0; margin-bottom: 0; vertical-align: middle; color: #374151;">Experience with deep learning frameworks (e.g., TensorFlow, PyTorch).</li><li style="margin-top: 0; margin-bottom: 0; vertical-align: middle; color: #374151;">Excellent problem-solving skills and attention to detail.</li><li style="margin-top: 0; margin-bottom: 0; vertical-align: middle; color: #374151;">Strong communication and teamwork skills.</li><li style="margin-top: 0; margin-bottom: 0; vertical-align: middle; color: #374151;">MINIMUM OF 5 YEARS OF POST COLLEGE EXPERIENCE</li></ul>#LI-RL1 Qualifications: At AMD, your base pay is one part of your total rewards package. Your base pay will depend on where your skills, qualifications, experience, and location fit into the hiring range for the position. You may be eligible for incentives based upon your role such as either an annual bonus or sales incentive. Many AMD employees have the opportunity to own shares of AMD stock, as well as a discount when purchasing AMD stock if voluntarily participating in AMDs Employee Stock Purchase Plan. Youll also be eligible for competitive benefits described in more detail <a href="https://amd.jibeapply.com/benefits" target="_blank" rel="noopener">here</a>. AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services. AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law. We encourage applications from all qualified candidates and will accommodate applicants needs under the respective laws throughout all stages of the recruitment and selection process.

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Machine Learning Software Engineer Jobs in Santa Clara, CA

Machine Learning Software Engineer Threat IntelligenceApril 28, 2024

Machine Learning Software Engineer CloudApril 22, 2024

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