Senior ML Engineer, ML Compute Platform
Senior ML Engineer, ML Compute Platform
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$ 158000 - 241900
1 Vacancy
Job Description
Job Description
Hybrid This role is categorized as hybrid. This means the successful candidate is expected to report to the GM Global Technical Center - Cole Engineering Center Podium MI or Mountain View Technical Center CA at least three times per week at minimum or other frequency dictated by the business. This job is eligible for relocation assistance.
About the Team:
The ML Compute Platform is part of the AI Compute Platform organization within Infrastructure Platforms. Our team owns the cloud-agnostic reliable and cost-efficient compute backend that powers GM AI. Were proud to serve as the AI infrastructure platform for teams developing autonomous vehicles (L3/L4/L5) as well as other groups building AI-driven products for GM and its enable rapid innovation and feature development by optimizing for high-priority ML-centric use cases. Our platform supports the training and deployment of state-of-the-art (SOTA) machine learning models with a focus on performance availability concurrency and scalability. Were committed to maximizing GPU utilization across platforms (B200 H100 A100 and more) while maintaining reliability and cost efficiency.
About the Role:
We are looking for a Senior Software Engineer to join our team and help us scale our platform for performance reliability and usability. Youll be responsible for building critical backend services integrating with GPU hardware and orchestration systems and driving improvements to both system architecture and user is a hands-on engineering role that requires a strong background in distributed systems infrastructure and a product mindset with a keen eye for user experience.
What youll be doing:
- Design core platform backend software components
- Experience cloud platforms like GCP Azure
- Thrive in a dynamic multi-tasking environment with ever-evolving priorities. Interface with other teams to incorporate their innovations and vice versa
- Analyze and improve efficiency scalability and stability of various system resources
- Proactively identify drive and design large initiatives across GM ML ecosystem
Additional Job Description
Requirements
- 5 years of industry experience
- Expertise in either Go C Python or other relevant coding languages
- Strong background with kubernetes at scale
- Relevant experience building large-scale with distributed systems
- Experience leading and driving large scale initiatives
- Experience working with Google Cloud Platform Microsoft Azure or Amazon Web Services
Preferred Requirements
- Hands-on experience in ML platforms
- Experience with GPU/TPU optimizations
- Experience with training frameworks like PyTorch TorchX
- Experience with Ray framework
- Leadership/active participation in the open source community
- Experience infrastructure applications or similar experience
Why Join Us
If youre excited to tackle some of todays most complex engineering challenges see the impact of your work in real-world AV applications and help shape the future of AI infrastructure at GMthis is the team for you.
Compensation: 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
- Compensation: The expected base compensation for this role is: $158000 - $241900 Actual base compensation within the identified range will vary based on factors relevant to the position.
- Bonus Potential: An incentive pay program offers payouts based on company performance job level and individual performance.
- Benefits: GM offers a variety of health and wellbeing benefit programs. Benefit options include medical dental vision Health Savings Account Flexible Spending Accounts retirement savings plan sickness and accident benefits life insurance paid vacation & holidays.
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About GM
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Benefits Overview
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Non-Discrimination and Equal Employment Opportunities (U.S.)
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 providing an inclusive workplace creates an environment in which our employees can thrive and develop better products for our customers.
All employment decisions are made on a non-discriminatory basis without regard to sex race color national origin citizenship status religion age disability pregnancy or maternity status sexual orientation gender identity status as a veteran or protected veteran or any other similarly protected status in accordance with federal state and local laws.
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.
Accommodations
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Required Experience:
Senior IC
Employment Type
Full-Time
