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General Motors

JR-202416761 Principal Software Engineer, AI Platform (ADAS)

Posted 7 Days Ago
Be an Early Applicant
Hybrid
Mountain View, CA
Senior level
Hybrid
Mountain View, CA
Senior level
The Principal Software Engineer will be responsible for designing, developing, and maintaining the AI/ML platform infrastructure, working closely with data scientists and engineers to enhance capabilities for training complex models. Responsibilities include developing scalable infrastructure, implementing monitoring mechanisms, and collaborating with teams to integrate new features into the platform.
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Description
We are seeking a highly skilled AI/ML Platform Engineer to join our team. In this role, you will be responsible for designing, developing, and maintaining our AI/ML platform infrastructure. You will work closely with data scientists, machine learning engineers, and software developers to enhance our platform's capabilities for training complex models on large datasets efficiently. Your contributions will directly impact our ability to scale and deploy cutting-edge AI solutions.Foundational AI/ML platform functionality development such as designing and developing scalable infrastructure to support training of machine learning models on large datasets.Implementing mechanisms to monitor and manage resource utilization across multi-GPU on-prem and cloud environments.Enhance machine learning platform abstractions and APIs to improve usability and productivity for data scientists and engineers.Develop and maintain tools for model versioning, experiment tracking, and reproducibility.Collaborate with cross-functional teams to integrate new features and technologies into the platform.
Additional Description
Bachelors or higher degree in Computer Science or equivalent major8+ years professional software engineering experience3+ years specialized experience in AI/ML infrastructure, e.g., enabling distributed training for scaling large ML modelsStrong programming skills in Python, with proficiency in frameworks such as TensorFlow, PyTorch, or similarExperience with distributed computing, GPU computing, and cloud environments (AWS, GCP, Azure).Willingness to travel to Mountain View as neededComfortable working in highly ambiguous and dynamic environmentsThis role is categorized as hybrid. This means the successful candidate is expected to report to Mountain View three times per week, at minimum.The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York, Colorado, California, or Washington.The salary range for this role is $225,000 and $334,800. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.An incentive pay program offers payouts based on company performance, job level, and individual performance.
About GM
Our vision is a world with Zero Crashes, Zero Emissions and Zero Congestion and we embrace the responsibility to lead the change that will make our world better, safer and more equitable for all.
Why Join Us
We aspire to be the most inclusive company in the world. We believe we all must make a choice every day - individually and collectively - to drive meaningful change through our words, our deeds and our culture. Every day, we want every employee, no matter their background, ethnicity, preferences, or location, to feel they belong to one General Motors team.
Total Rewards | Benefits Overview
From day one, we're looking out for your well-being-at work and at home-so you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
Diversity Information
General Motors is committed to being a workplace that is not only free of unlawful discrimination, but one that genuinely fosters inclusion and belonging. We strongly believe that workforce diversity creates an environment in which our employees can thrive and develop better products for our customers. We encourage interested candidates to review the key responsibilities and qualifications for each role and apply for any positions that match their skills and capabilities. Applicants in the recruitment process may be required, where applicable, to successfully complete a role-related assessment(s) and/or a pre-employment screening prior to beginning employment. To learn more, visit How we Hire
Equal Employment Opportunity Statement (U.S.)
General Motors is proud to be 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, or status as a protected veteran.
Accommodations (U.S. and Canada)
General Motors offers opportunities to all job seekers including individuals with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, email us [email protected] or call us at 800-865-7580. In your email, please include a description of the specific accommodation you are requesting as well as the job title and requisition number of the position for which you are applying.

Top Skills

Python

General Motors Markham, Ontario, CAN Office

Markham, Ontario, Canada

General Motors Oshawa, Ontario, CAN Office

Oshawa, Ontario, Canada

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