Staff Software Engineer - AI Platform

Reposted 4 Days Ago
Be an Early Applicant
Mountain View, CA
Hybrid
186K-285K
Senior level
Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing
The Role
As a Staff Machine Learning Engineer, you'll develop AI infrastructure, mentor teams, and drive architectural directions across projects while ensuring responsible AI practices.
Summary Generated by Built In
Description
Hybrid: This role is categorized as hybrid. This means the successful candidate is expected to report to the Mountain View office three times per week, at minimum.
Join the team driving the future of AI innovation at General Motors! Our AI Core Infrastructure team, which sits directly under the Chief AI Officer, is a high-impact team powering GM's enterprise-wide AI infrastructure-from customer in-vehicle experience to manufacturing innovation. We design the foundational AI infrastructure that powers every corner of the company. We're building the data, compute, and deployment layers necessary to scale cutting-edge AI systems across GM's global operations.
Our core responsibilities include building and scaling core AI infrastructure and tools to enable rapid development, training, fine-tuning, evaluation, and deployment of AI models across the organization, collaborating with vehicle and manufacturing teams to deliver high-impact AI solutions across GM's portfolio, championing and promoting cutting-edge AI technologies, while ensuring responsible AI practices.
The Role:
As a Staff Machine Learning Engineer on the AI Core Infrastructure team, you will play a critical role in shaping GM's future through the high-impact AI systems you develop. You will design and build advanced AI technologies then integrate them into GM's business strategies, culture, and operational workflows. You'll lead large-scale infrastructure initiatives and set technical direction across projects. You'll serve as a key technical partner to research, product, and vehicle teams, mentoring engineers and driving system architecture.
What You'll Do:
  • Design, develop and test cutting-edge AI infrastructure, including data pipelines, fine-tuning frameworks and evaluation tools
  • Collaborate with researchers and industry partners to understand technical requirements and measure impact
  • Scale our architecture to deploy reliably and performantly across large-scale applications
  • Define best practices for AI software engineering across the company, including AI safety/guardrails
  • Provide technical guidance to internal teams and business partners
  • Lead cross-functional development efforts with engineering and product teams
  • Mentor engineers and foster technical growth across the teams

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.
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.
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 [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

Ai Infrastructure
AWS
Azure
C++
Cloud-Based Gpus
Cloud-Based Tpus
Data Pipelines
Evaluation Tools
Fine-Tuning Frameworks
GCP
Go
Java
Python
PyTorch
TensorFlow

What the Team is Saying

Divya
Eseme
Kendra
Navya
Charles
Victoria
Sri
Jeremiah
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The Company
HQ: Detroit, MI
165,000 Employees
Year Founded: 1908

What We Do

At General Motors, our vision is to create a world with Zero Crashes, Zero Emissions, and Zero Congestion. We wholeheartedly embrace the responsibility to lead the change that will make our world better, safer, and more equitable for all.

Our industry and company are undergoing a once-in-a-lifetime technological transformation, which is reshaping our approach to technology and innovation. We are expanding our horizons through new technology platforms and driving innovations that deliver exceptional value to our customers.

Why Work With Us

At General Motors, our purpose is to pioneer the innovations that move and connect people to what matters. We’re driving the world forward, together. We’re building vehicle software alongside its hardware, hands-free driving that will lead to autonomy, and EVs that charge your home for an all-electric future.

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General Motors Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Roles that are categorized as Hybrid mean that the successful candidate is expected to report onsite to the designated facility at least three times per week or other frequency as dictated by the business.

Typical time on-site: 3 days a week
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