Staff ML Infrastructure Engineer Embodied AI Scaling Foundations
Job Location:
Sunnyvale, CA - USA
Monthly Salary:
Posted:
Application Deadline:
Vacancies:
Job Summary
Job Description
At General Motors our product teams are redefining mobility. Through a human-centered design process we create vehicles and experiences that are designed not just to be seen but to be into tomorrows standard from breakthrough hardware and battery systems to intuitive design intelligent software and next-generation safety and entertainment features.
Every day our products move millions of peopleas we aim to makedriving safer smarter and more connected shaping the future of transportation on a global scale.
Role:
Are you passionate about accelerating the future of autonomous driving Join the Embodied AI team at General Motors. Our team is developing and deploying machine learning solutions that support safe and reliable autonomous vehicle behavior across real-world scenarios.
As a Staff ML Infra Engineer you willdrive the development of core systems that enable rapiddataset generationtraining evaluation and iteration of our most advanced Autonomous Driving models.Fromenablinglargefoundational drivingmodels todistilling multi-stage production deployedmodelsyourgoalwill be todramatically accelerate the machine learning development cyclefrom one modeling hypothesis to next.
You will deliver model training pipelinesthat are performant easy to use and exceptionally reliable.Your success will be measured by the velocity and impact of the ML models that rely on the scalable intuitive and highperformance training platforms you help create.
What youll do:
Lead the design implementation and deployment of scalable platforms and tools that drive machine learning model training and evaluation workflows across GM.
Own complex technical projects end-to-end making key architectural decisions and technical trade-offs. You will be a core contributor to team planning design reviews and code quality.
Take a holistic view of projects considering their impact across multiple teams and across a longer timeline.
Proactively drive technical prioritization. Collaborate closely with partner teams to ensure maximum benefit from the systems we build.
Help shape our team through technical interviewing with high well-calibrated standards and play an essential role in recruiting.
Mentor and onboard junior engineers and interns helping them grow their careers.
What youll bring:
5 years of experience building large-scale distributed systems applications or advanced ML systemsscale distributed systems applications or advanced ML systems
Proventrack recordof designing robust frameworks with high-quality durable APIs.
Deep understanding of machine learning algorithms with handson application
Expertisein building reliable high-performance and cost-efficient systems on modern cloudinfrastructureperformance
End-to-end experience across the ML development lifecycle includingMLOpspractices
Strong cross functional collaboration skills across teams andorganizations
Exceptional coding skills in Python or C
Strong interest in autonomous driving and its transformative potential
BS MS or PhD in Computer Science Mathematics or equivalent practical experience
Nice to have:
Experience with distributed training methodologies
Experience scaling ML training across large GPU/CPU clusters or other accelerators
Familiarity with deep learning frameworks (e.g.PyTorch TensorFlow)
Experience with performance profiling andstate-of-the-arttraining optimization techniques including their impact on model performance oftheart training optimization techniques including their impact on convergence.
Experience with advanced build systems (e.g. Bazel Buck BlazeCMake)
Proficiencywith containerization and orchestration technologies (e.g. Docker Kubernetes)
Remote/Hybrid: This role is categorized as fully remote or hybrid.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not berepresentative for positionslocatedoutside of the California Bay Area.
The salary range for this role is $189300.00 to $290700.00. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.
Bonus Potential: An incentivepayprogram offers payouts based on company performance job level and individual performance.
Benefits:
GM offers a variety of health and wellbeing benefit options include medical dental vision Health Savings Account Flexible Spending Accounts retirement savings plan sickness and accident benefits life insurance paid vacation & holidays tuitionassistanceprograms employeeassistanceprogram GM vehicle discounts and more.
Relocation: This job may be eligible forrelocationbenefits.
Company Vehicle: Upon successful completion of a motor vehicle report review you will be eligible toparticipatein a company vehicle evaluation program through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participantsare required topurchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.
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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 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 to feel they belong to one General Motors team.
Benefits Overview
From day one were looking out for your well-beingat work and at homeso you can focus on realizing your ambitions. Learn how GM supports a rewarding career that rewards you personally by visiting Total Rewards resources.
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:
Staff IC
About Company
GM is home to Chevrolet, Buick, GMC & Cadillac and has been leading the auto industry for over a century. See how we create a vehicle for every drive.
