General Motors

Staff AI/ML Fullstack Engineer - AV ML Infra

General Motors$218K — $335K *
Transportation
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • 5+ years of software engineering experience with full-stack development.
  • Experience in building and operating production-grade web applications.
  • 3+ years leading large-scale initiatives.
  • Proficiency in scalable infrastructure development on cloud platforms like Python, C++, or Golang.
  • Experience with relational and NoSQL databases.
  • Degree in Computer Science, Engineering, or related fields, or equivalent experience.
  • Passion for autonomous vehicle technology and problem-solving.

Responsibilities

  • Design, implement, and maintain user-facing web applications and internal tools.
  • Develop modern, responsive UIs using frameworks such as React or Angular.
  • Utilize cloud technologies for scalable computing and data processing solutions.
  • Own technical projects from inception to completion, making informed decisions on trade-offs.
  • Engage in team planning, code reviews, and design discussions, managing team dynamics.
  • Conduct technical interviews, onboard, and mentor engineers and interns.

Benefits

  • Variety of health and well-being benefit programs including medical, dental, and vision options.
  • Retirement savings plan and life insurance benefits.
  • Paid vacation, sick leave, and holidays.
  • Tuition assistance and employee assistance programs.
  • GM vehicle discounts, with participation in a company vehicle evaluation program.
Full Job Description
Job Description

About the team:

The AV ML Infra team at GM builds end-to-end ML platforms and developers facing products designed to meet the unique demands of AI and ML innovation, supporting a wide range of use cases across teams such as Embodied AI, Simulation, Data Science, and more. We enable scalable and efficient ML experimentation, enhance the productivity of ML engineers, and drive the adoption of cutting-edge ML techniques.

Our ML infrastructure includes:

  • AI Validation & Inference: Ensures robust model performance by running large-scale simulation workloads and managing reliable ML inference pipelines.


  • ML Compute: Streamlines and optimizes large-scale ML training and inference across cloud and on-prem compute resources.


  • AV Pipelines & Lineage: Automates ML workflows while tracking data and model lineage across diverse infrastructures, accelerating engineering velocity and ensuring reproducibility.


Together, these tools and systems empower GM to tackle the complexities of autonomous driving technology and expedite our path to commercialization.

Position Overview:

As a Staff AI/ML Full-Stack Engineer, you will design and build end-to-end software products, owning everything from user-facing interfaces to backend services and cloud infrastructure. You will lead technically complex projects, collaborate closely with product managers and platform teams, and mentor junior engineers. This is a hands-on individual contributor role with a strong emphasis on technical depth, system design, and product impact rather than people management.

Note: This role is part of an ML infrastructure engineering team and does not involve applying machine learning models for specific tasks. The focus is on developing infrastructure products that empower GM teams to perform machine learning and data science at scale.

What you'll be doing:

  • Full-Stack Development: Design, implement, and maintain user-facing web applications and internal tools used by AV engineering teams. Build scalable backend services and APIs that power frontend experiences. Ensure systems are secure, reliable, and performant at scale.


  • Frontend Engineering: Develop modern, responsive UIs using frameworks such as React, Angular, or similar, Collaborate with UX and product partners to deliver intuitive workflows and polished user experiences. Translate complex backend concepts into clear, usable interfaces.


  • Design & Implementation: Utilize the latest cloud technologies (GCP/Azure) to design, implement, and test scalable distributed computing and data processing solutions in the cloud.


  • Project Ownership: Take ownership of technical projects from inception to completion, contribute to the product roadmap, and make informed decisions on major technical trade-offs.


  • Collaboration: Engage effectively in team planning, code reviews, and design discussions, considering the impact of projects across multiple teams while proactively managing conflicts.


  • Mentorship & Recruitment: Conduct technical interviews with calibrated standards, onboard, and mentor engineers and interns, fostering a culture of growth and knowledge sharing.


What you must have:

  • 5+ years of professional software engineering experience, including full-stack development.


  • Experience building and operating production-grade web applications


  • 3+ years of experience leading and driving large-scale initiatives.


  • Proficiency in building scalable infrastructure on the cloud using Python, C++, Golang, or similar languages.


  • Experience working with relational and NoSQL databases.


  • Demonstrated ability to develop and maintain systems at scale.


  • A Bachelor's, Master's, or Ph.D. in Computer Science, Electrical Engineering, Mathematics, Physics, or a related field; or equivalent practical experience.


  • A passion for autonomous vehicle technology and its transformative potential.


  • Strong attention to detail and a commitment to accuracy.


  • A proven track record of efficiently solving complex problems.


  • A startup mentality with a willingness to embrace uncertainty and wear multiple hats.


Bonus Points:

  • Experience with Google Cloud Platform, Microsoft Azure, or Amazon Web Services.


  • Experience with open-source orchestration platforms such as Kubeflow, Flyte, Airflow, etc.


  • Experience with Kubernetes.


  • Understanding of Machine Learning (ML) models/pipelines.


  • Python/C++/Golang proficiency.


  • Relevant publications.


Compensation:
  • The expected base compensation for this role is: $218,800- $335,300. 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:
  • 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 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.

Transform Your Career

General Motors is not just a company; it's a community where you can grow your skills alongside the best in the industry. Our leadership is committed to providing every employee—from interns to senior professionals—with opportunities for career advancement, leadership development, and diversity training.

Innovate and Lead

At General Motors, innovation is at the core of everything we do. From research and development to manufacturing, our teams work collaboratively to lead the industry with cutting-edge technologies and sustainable practices. We encourage our employees to think big and push the boundaries of what’s possible.

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.

Stay Connected

Join Our Team Search open positions that match your skills and interests. At General Motors, we look for innovative, driven, and solution-oriented team players. Explore the possibilities that await you in a career at General Motors.

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Customize your subscription to receive job alerts, latest news, and insider tips tailored to your preferences. Discover the exciting and rewarding career opportunities available at General Motors. Embark on a journey of growth, innovation, and leadership at General Motors. Shape your future in an environment that fosters diversity, learning, and the pursuit of excellence. Join us and redefine the roads of tomorrow.
Learn more about General Motors
Size
157,000 employees
Market Cap
$46.9 billion
Industry
Net Income
$6.4 billion
Founded
1908
5 Year Trend
-3.2%
Revenue
$122.4 billion
NASDAQ

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