General Motors

Principal Machine Learning Engineer

Reposted 4 Hours Ago

Sunnyvale CA USA

Hybrid

296K-453K Annually

Senior level

Automotive • Big Data • Information Technology • Robotics • Software • Transportation • Manufacturing

We make amazing products people love for every journey.

The Role

Lead the design and advancement of AI platform infrastructure focusing on distributed training efficiency and optimization of ML models. Collaborate with teams and guide architectural decisions.

Summary Generated by Built In

Description
This role is based remotely but if you live within a 50-mile radius of [Austin Detroit Warren Milford or Mountain View] you are expected to report to that location three times a week at minimum.
The Role:
We are seeking a Principal AI Engineer to lead the design and advancement of our AI platform. You will play a key role in shaping the infrastructure that powers large-scale training and cloud inference. This includes accelerating training throughput scaling multi-modal models and enabling the next generation of AI-driven driving systems. We're tackling challenges across distributed training training efficiency DDP/FSDP data processing pipelines and Pytorch model optimization. This is a highly impactful position where your technical leadership will define how we scale AI to achieve autonomy.
What You'll Do:

Architect build and optimize core AI/ML platform infrastructure to support massive-scale model training.
Collaborate with data scientists ML engineers and software developers to enable seamless workflows from research to production.
Drive efficiency in large-scale distributed training and data processing pipelines.
Establish best practices for reliability scalability and performance across the AI/ML platform.
Provide technical leadership and mentorship guiding teams on platform design architecture decisions and emerging technologies.
Partner with cross-functional stakeholders to align platform capabilities with business needs and strategic AI initiatives.

Your Skills & Abilities (Required Qualifications):

Bachelor's degree or higher in Computer Science related field or equivalent experience.
8+ years of professional software engineering experience.
4+ years of specialized experience in AI/ML domain (e.g. enabling distributed training for large-scale models).
Strong programming skills in Python with proficiency in frameworks such as PyTorch (preferred) or TensorFlow.
Experience with distributed systems GPU computing and cloud environments (AWS GCP or Azure).
Comfortable operating in highly ambiguous and dynamic environments.
Willingness to travel to Sunnyvale CA as needed.

What Will Give You a Competitive Edge (Preferred Qualifications):

Proven track record of self-motivation execution and delivering impact.
Deep expertise with PyTorch 2.x+ and distributed training frameworks.
Strong skills in profiling analysis debugging and optimizing training performance (e.g. avoiding memory fragmentation operation fusion).
Proficiency in C++ for performance-critical components.
Experience leading cross-functional projects and aligning diverse stakeholders on priorities.

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.

The salary range for this role is $296300 to $453200. 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 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.

Benefits:

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.
#GM-AV-1

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 1-800-865-7580. 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

AWS

Azure

C++

GCP

Python

PyTorch

TensorFlow

What the Team is Saying

View all jobs at General Motors

View General Motors Profile

Report Job

Am I A Good Fit?

beta

Get Personalized Job Insights.

Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.

The Company

HQ: Detroit MI

165000 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.

Gallery

General Motors Offices

Learn More

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