General Motors

Staff ML Infrastructure Engineer - Embodied AI Offboard Perception

General Motors • $189K — $290K *
US-Anywhere
+ 2 other locationsRemote
Transportation
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • 5-7 years of experience in ML infrastructure engineering or similar roles.
  • Strong software engineering fundamentals in building reliable and scalable systems.
  • Proficiency in Python with experience in ML libraries like PyTorch and NumPy.
  • Experience with ML deployment pipelines and production rollout processes.
  • Familiarity with distributed training on GPUs and cluster scheduling.
  • Experience using containerization and automation tools like Docker and Kubernetes.
  • Strong communication skills to collaborate effectively across teams.

Responsibilities

  • Design and maintain ML infrastructure for developing offboard perception models.
  • Integrate models into production systems with validation and rollout strategies.
  • Implement CI/CD pipelines for ML systems, emphasizing automated testing and deployment.
  • Establish evaluation frameworks for model performance and production monitoring.
  • Develop infrastructure for reliable experiment tracking and benchmarking.
  • Support dataset curation and ingestion for improved model performance.
  • Collaborate with teams to ensure reliable model integration into production services.

Benefits

  • Comprehensive health and wellbeing benefit programs including medical and dental.
  • Retirement savings plan and various insurance options including life insurance.
  • Paid vacation and holidays, promoting work-life balance.
  • Tuition assistance programs for personal and professional development.
  • Eligible for relocation benefits depending on the location.
  • Opportunity to drive and evaluate a General Motors company vehicle.
Full Job Description
Job Description

As a Staff ML Infra Engineer on the Offboard Perception team within the Embodied AI organization, you will be a senior engineer responsible for developing and deploying offboard machine learning solutions that deliver ground-truth-quality world estimates for multiple partner teams, including onboard model teams, simulation, and evaluation. The models you build will influence every stage of autonomous vehicle development-from training and validation to testing and safety. You will work closely with cross-functional engineering teams, help shape technical direction in your domain, and support other engineers' growth through collaboration and mentorship. You will also help transition research into scalable onboard ML capabilities while continuously improving the autonomy stack.

What You'll Do
  • Design, build, and maintain ML infrastructure that enables rapid development, training, evaluation, and deployment of offboard perception models.
  • Own the integration of models into production systems, including packaging, validation, deployment, rollout strategies.
  • Implement CI/CD pipelines for ML systems, including automated testing, model validation, performance regression checks, and deployment automation.
  • Establish model evaluation and observability frameworks, including training metrics, inference performance metrics, data quality checks, and production monitoring dashboards.
  • Develop infrastructure for experiment tracking and benchmarking, enabling teams to compare model architectures, datasets, hyperparameters, and training procedures in a reliable and repeatable way.
  • Support efficient dataset curation and ingestion pipelines that help prioritize high-value data, accelerate iteration cycles, and improve model performance on hard-edge cases.
  • Partner with ML engineers, researchers, and software teams to ensure models can be reliably integrated into larger autonomy stacks and production services at scale.
  • Define and enforce best practices for ML systems engineering, including reproducibility, configuration management, artifact management, security, and operational readiness.
  • Support technical collaboration through code reviews, design reviews, and mentorship, helping raise the quality and maintainability of ML infrastructure across the organization.


Your Skills & Abilities
  • Strong software engineering fundamentals, including experience building reliable, maintainable, and scalable production systems.
  • Proficiency in Python, with experience using ML and scientific computing libraries such as PyTorch, NumPy, and related tooling.
  • Experience building and supporting ML training and deployment pipelines, including data processing, experiment execution, model packaging, and production rollout.
  • Experience deploying ML models into production environments, with understanding of end-to-end workflows such as validation, serving, monitoring, and lifecycle management.
  • Familiarity with distributed training and large-scale compute infrastructure, including GPUs, cluster scheduling, and performance optimization for training workloads.
  • Experience with containerization, orchestration, and automation tools such as Docker, Kubernetes, workflow schedulers, and CI/CD systems.
  • Experience with model observability and operational metrics, including training metrics, inference performance, reliability monitoring, and data/model drift detection.
  • Strong communication and collaboration skills, with the ability to work effectively across ML, software, data, and systems engineering teams.
  • Experience in robotics, perception systems, or autonomous driving is preferred.


Remote/Hybrid: 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 per week, at minimum.

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 the California Bay Area.
  • The salary range for this role is $189,300.00 to $290,700.00. 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 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.

Relocation: This job may be eligible for relocation benefits.

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.

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About General Motors

General Motors Company engages in the manufacture and sale of cars and trucks in the United States, China, Brazil, Germany, the United Kingdom, Canada, and Italy. It offers sedans, crossovers, sport utility vehicles, pick-up trucks, coupes, sports/convertibles and hybrid vehicles, hatchbacks/wagons, and vans, as well as mini cars in India. The company also provides parts and accessories, such as iPod and MP3 compatibility, mobility accessories, performance parts, AC parts and services, and merchandise. In addition, it offers vehicle safety, security, and information services. The company provides used vehicles. It offers its products through dealers and distributors. General Motors Company was formerly known as NGMCO, Inc. and changed its name to General Motors Company in July 2009. The company was incorporated in 2009 and is based in Detroit, Michigan. It operates manufacturing facilities in India, the United States, and Canada. General Motors Company operates as a subsidiary of the United States Department of The Treasury. General Motors led global vehicle sales for 77 consecutive years from 1931 through 2007, longer than any other automaker, and is currently among the world's largest automakers by vehicle unit sales. General Motors acts in most countries outside the USA via wholly-owned subsidiaries but operates in China through 10 joint ventures. GM's OnStar subsidiary provides vehicle safety, security, and information services. In 2009, General Motors shed several brands, closing Saturn, Pontiac, and Hummer, and emerged from a government-backed Chapter 11 reorganization. In 2010, GM made an initial public offering IPOs to date and returned to profitability later that year.

General Motors Careers

Join the dynamic team at General Motors, a global leader in automotive innovation and technology. At General Motors, we offer unparalleled job opportunities that propel your career forward while contributing to a legacy of engineering excellence.

Work You’ll Do

Embark on a career with General Motors to drive the future of mobility. Our team is dedicated to redefining the automotive landscape through innovation and leadership in electric vehicles and sustainable solutions. By joining us, you will be part of a culture that values diversity, teamwork, and continuous professional growth.

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Join Our Global Team

As part of our global workforce, you will collaborate with talented individuals who are passionate about shaping the future of transportation. General Motors offers a variety of career paths in engineering, design, IT, marketing, and more. With over 155,000 employees worldwide, our network provides expansive opportunities for networking and professional development.

Internship Programs and Employment Benefits

Start your career journey with a General Motors internship, where you can apply your academic knowledge to real-world projects. Our internships provide a robust foundation in the automotive industry, with mentorship from experienced leaders. Full-time employees enjoy a wealth of benefits, including comprehensive health care, retirement plans, and performance bonuses, ensuring that your hard work is rewarded.

Explore Job Opportunities

Whether you’re a seasoned professional or a recent graduate, General Motors offers positions that leverage your unique skills. Our hiring process is designed to identify and nurture talent, focusing on aligning your capabilities with the right opportunities for growth within the company.

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Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Manufacturing & Automotive
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ
GM
* Ladders Estimates

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