Staff Machine Learning Engineer, Compute

Job Description

Staff ML Engineer ML Compute Platform

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 customers.

We 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 while maintaining reliability and cost efficiency.

About the Role:

We are looking for a Staff 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 experience.

This 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
  
  

At a Minimum Wed Like You To Have

• 7 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
  
  
  

Its Preferred If You Have

• 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 expected base CA compensation for this role is: $198900 - $304800. Actual base compensation within the identified range will vary based on factors relevant to the position.
• You also need to include general information about potential commissions if applicable.
  

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 tuition assistance programs employee assistance program GM vehicle discounts and more.

Company Vehicle: Upon successful completion of a motor vehicle report review you will be eligible to participate in a company vehicle evaluation program through which you will be assigned a General Motors vehicle to drive and evaluate. Note: program participants are required to purchase/lease a qualifying GM vehicle every four years unless one of a limited number of exceptions applies.

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

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 or call us 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.