Machine Learning Engineer, AI Inference Solutions (University Grad)

GM

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profile Job Location:

Sunnyvale, CA - USA

profile Monthly Salary: $ 119250 - 150850
Posted on: 2 days ago
Vacancies: 1 Vacancy

Job Summary

Job Description

General Motors is a global leader in advanced driverassistance with Super Cruise hands-free technology in more than 500000 equipped vehicles on the road and over 700 million hands-free miles drivendemonstratingthat automation can be trusted intuitive and helpful while reaching everyday drivers at unprecedented scale. Within GM AV the Model Deployment & Inference Solutions team deploys machine learning models from training frameworks (e.g.PyTorch) onto autonomous-vehicle hardware; our two-fold mission is to build the ML deployment platform that makes model rollouts fast and predictable and to optimize models so they meet the real-time latency and memory budgets required to run on-vehicle. Our work sits on the critical path for GMs publicly committed launch of eyes-off (hands-free eyes-free) autonomous driving in 2028 on the Cadillac Escalade IQ andwerehiring engineers to help deliver the next generation of safe delightful personal autonomous-vehicle experiences.

About the Role

As an early career Engineer on the Model Deployment & Inference Solutions teamyoullcontribute across both sides of our mission: building the ML deployment platform andoptimizingmodels for on-vehicle inference.Youllwork with and learn from senior engineers on real production deployments platform features and model-optimization workflows that ship to GMs Super Cruise fleet at large scale with structured mentorship and a clear onboarding plan.Youllalso collaborate closely with our sister teams (kernelscompiler reduced precision and parity) on the end-to-end path that takes trained models from research frameworks to ultra-efficient safety-critical inference on the car.This is anearly-career/ new graduate role designed for candidates who have recently or will be completing their degree by June 2026.

WhatYoullDo (Responsibilities)

  • Contribute production code across theML deployment platformmodel-optimization workflows andinferencebenchmarking/profiling infrastructure.

  • Pair with senior engineers ondeployment workflowsperformance investigationsmodel-optimization experiments(e.g. quantization pruning distillation) andplatform tooling.

  • Build test andmaintainplatform tools (e.g. validators performance probes parity and sensitivity analyzers agentic specialists) with technical guidance and code review support.

  • Investigate and help root-cause production deployment or performance issues; learn and apply the diagnostic playbook forcompilerkernel runtime and parity bugs.

  • Collaborate with cross-functional teams across the AV organization;including kernels compiler reduced-precision parity and model-development groupsto plan and execute model deployments to the AV stack working under the guidance of senior engineers

  • Participate in code reviews design discussions and technical documentation to ensure reliability correctness and clear abstractions in a large-scale codebase.

  • Learn and follow secure coding safety and compliance practicesfor on-vehicle autonomous driving software.

Your Skills & Abilities (Required Qualifications)

  • Recently completed orcompletingaBachelors orMastersdegree bySpring 2026 inComputer ScienceECE or a relatedtechnical field. (Degree must becompleted before your start date.)

  • Strongcomputer science fundamentals(e.g. data structures algorithms operating systems computer architecture) and solid coding skills inPythonand/orCdemonstratedthrough coursework internships or substantial projects.

  • Hands-on experience inAI/ML(e.g. machine learning deep learning computer vision NLP or ML systems) via classes research internships or personal projects.

  • Depth in at least one of:computer architectureoperating systemsdistributed systems orcompilers.

  • Demonstrated software-engineering experience (internships coursework open-source research code or competitions) showing good judgment aroundreliability correctness and clean abstractions.

  • Experience withor strong interest inusingcoding assistants/agents(e.g. Cursor Claude Code GitHub Copilot) as part of your workflow.

  • Ability to work effectively in collaborative cross-functional teams and communicate clearlyboth in writing and verballyincluding explaining technical workpartners

What Will Give You a Competitive Edge (Preferred Qualifications)

  • Internship research or advanced coursework inML systemsML compilersGPU programming(CUDA OpenAI Triton)inference optimization ordistributed training/serving infrastructure.

  • Familiarity withPyTorchand modern ML compiler/runtime stacks (e.g.TensorRT ONNX Triton Inference ServervLLM or equivalent).

  • Exposure tomodel optimization(quantization pruning distillation) orGPU profiling tools(Nsight Systems Nsight ComputePyTorchProfiler).

  • Familiarity with workflow/ML platforms such asAirflow Temporal Flyte Ray or Kubeflow.

  • Experience buildingagentic or LLM-powered tools or workflows.

  • Open-source contributions related toPyTorchTensorRTvLLM OpenAI Triton or similar projects.

  • Coursework projects or publications touchingML systems(e.g.MLSys OSDI ASPLOS HPCANeurIPSsystems track).

  • Familiarity with a systems language (e.g.C) and development in aLinuxenvironment.

Location

  • Sunnyvale CA

  • This role is categorized ashybrid. This means the selected candidate is expected to report to a specific location at least 3 times a week.

  • This job may be eligible for relocation benefits

Compensation

The compensation information is a good faith estimate only. It is based on what a successful applicant might be paidin accordance withapplicable state laws. The compensation may not be representative for positionslocatedoutside of New York Colorado California or Washington.

  • The salary range for this roleis $119250 to $150850. The actual base salary a successful candidate will be offered within this range will vary based on factors relevant to the position.

  • Bonus Potential: Anincentivepayprogram 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 tuitionassistanceprograms employeeassistanceprogram GM vehicle discounts and more.

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.

Benefits Overview

From day one were looking out for your well-beingat work and at homeso 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 or call 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.


Required Experience:

IC

Job DescriptionGeneral Motors is a global leader in advanced driverassistance with Super Cruise hands-free technology in more than 500000 equipped vehicles on the road and over 700 million hands-free miles drivendemonstratingthat automation can be trusted intuitive and helpful while reaching everyda...
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