General Motors

Senior ML Inference Engineer - Platform

General Motors • $128K — $261K *
Mountain View, CA 94040In-Person
Transportation
Less than 5 years of experience
3 weeks ago
Job Overview by Ladders

Qualifications

  • BS, MS, or PhD in Computer Science or related field.
  • 3+ years of relevant industry experience.
  • Strong coding skills in Python.
  • Experience with production platform systems prioritizing reliability and observability.
  • Familiarity with ML model deployment and inference integration processes.
  • Experience using coding agents in engineering workflows.
  • Proven ability in designing clean, well-tested software.

Responsibilities

  • Design, build, and maintain the ML deployment platform for on-vehicle inference.
  • Drive cross-organization model deployments to the autonomous vehicle stack.
  • Construct agentic tools to address deployment-blocking issues.
  • Enhance the developer experience through tooling, automation, and observability features.
  • Implement shift-left validation for early risk detection in the model development cycle.
  • Develop integration tools with sister teams for deployment workflow optimization.
  • Collaborate with the Performance pillar and model development teams.

Benefits

  • Comprehensive health benefits including medical, dental, and vision.
  • Health Savings and Flexible Spending Accounts available.
  • Robust retirement savings plan.
  • Paid vacation and holidays provided.
  • Tuition assistance programs offered.
  • Employee assistance program for support.
  • GM vehicle discounts available.
Full Job Description
Job Description

About the Role

This role sits in the team's Platform pillar. We own the unified ML deployment platform that automates the path from a trained model to inference on the vehicle, along with the developer-experience and agentic-tooling layer that makes deployment self-serve for every ML model development team at GM.

What you'll be doing (Responsibilities)

  • Design, build, and operate the ML deployment platform that automates the path from trained model to on-vehicle inference.


  • Drive cross-organization model deployments to the autonomous vehicle stack, partnering with model development teams to take high-value models from training to production on-vehicle.


  • Build agentic tools that diagnose and fix deployment-blocking issues, automating workflows currently performed manually by engineers.


  • Build the developer experience that ML model development teams use day to day: tooling, dashboards, automation, and observability.


  • Drive shift-left validation that surfaces deployment risk (compile, runtime, parity, latency) early in the model development cycle.


  • Build platform tools that integrate the work of our sister teams (kernels, compiler, reduced precision and parity) so their optimization wins land directly in the deployment workflow.


  • Partner with the team's Performance pillar and model development teams across the AV organization.


Your Skills & Abilities (Required Qualifications)

  • BS, MS, or PhD in Computer Science or a related technical field.


  • 3+ years of relevant industry experience.


  • Strong fundamentals and excellent coding ability in Python.


  • Experience building or operating production platform or infrastructure systems where reliability, observability, and extensibility matter.


  • Experience with ML model deployment, inference integration, model optimization workflows, or model serving infrastructure, with at least one prior context where you owned the path from a trained model to a running inference workload.


  • Experience using coding agents (Cursor, Claude Code, GitHub Copilot, or equivalent) as part of your engineering workflow.


  • Experience designing clean, well-tested software with clear interfaces and good abstractions.


  • Strong cross-team collaboration skills.


What Will Give You A Competitive Edge (Preferred Qualifications)

  • Experience building agentic or LLM-powered developer tooling.


  • Experience with ML or workflow orchestration frameworks (Airflow, Temporal, Flyte, Ray, Kubeflow, or equivalent).


  • Familiarity with the NVIDIA GPU stack at the integration level (CUDA-aware Python, TensorRT, Triton inference server, torch.compile, ONNX).


  • Experience with inference-serving frameworks (Triton, TorchServe, Ray Serve, vLLM) or edge-deployment toolchains.


  • Experience with low-latency or real-time systems.


  • Experience in autonomous vehicles, robotics, or other safety-critical ML deployment domains.


  • Open-source contributions to PyTorch, Ray, Airflow, Temporal, vLLM, TensorRT, or related projects.


  • 3+ years of relevant industry experience.


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 $128,700 to $261,300. 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.


#GM-AV-1

This role is based remotely, but if the selected candidate lives within a specific mile radius of a GM hub, they will be expected to report to the location three times a week {or other frequency dictated by your manager}.The selected candidate will be required to travel

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
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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