Machine Learning Engineer, AI Inference Solutions (University Grad)

General Motors; Sunnyvale (CA); Hybrid; USD 119,000 - 151,000; Full time

Benefits offered by this job

Medical benefits

Hybrid work model

Relocation assistance

Wellbeing programs

Job summary

General Motors in Sunnyvale, CA is hiring an early-career Engineer on the Model Deployment & Inference Solutions team to deploy ML models for on-vehicle inference and optimize for real-time latency. You will work with senior engineers on production deployments, platform features, and model-optimization workflows, with mentorship and onboarding as you graduate by June 2026.

Join a cross-functional environment collaborating with kernels, compiler, reduced-precision, parity, and model-development

Qualifications

• Recently completed or completing a Bachelor's or Master’s degree by Spring 2026.
• Strong CS fundamentals and solid coding skills in Python and/or C++.
• Hands-on AI/ML experience via coursework, internships, or projects.
• Depth in at least one: architecture, OS, distributed systems or compilers.

Responsibilities

• Contribute production code across ML deployment platform and optimization workflows.
• Pair with senior engineers on deployment workflows and performance investigations.
• Build and maintain platform tools with guidance and code review.
• Investigate production deployment issues and apply diagnostic playbooks.
• Collaborate with cross-functional teams to plan and execute model deployments.
• Participate in code reviews and design discussions for reliable codebase.
• Follow secure coding, safety, and compliance practices for on-vehicle software.

Skills

Python

C++

Data structures

Algorithms

Operating systems

Computer architecture

AI/ML fundamentals

Team collaboration

Software engineering

Coding assistants/agents

Education

Bachelor's degree in Computer Science or related

Master's degree beneficial

Tools

PyTorch

CUDA

TensorRT

ONNX

Torch.compile

TensorRT

Job description

Job Description

General Motors is a global leader in advanced driverassistance, with Super Cruise hands-free technology in more than 500,000 equipped vehicles on the road and over 700 million hands-free miles driven—demonstratingthat 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 GM’s publicly committed launch of eyes-off (hands-free, eyes-free) autonomous driving in 2028 on the Cadillac Escalade IQ, andwe’rehiring 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 team,you’llcontribute across both sides of our mission: building the ML deployment platform andoptimizingmodels for on-vehicle inference.You’llwork with and learn from senior engineers on real production deployments, platform features, and model-optimization workflows that ship to GM’s Super Cruise fleet at large scale, with structured mentorship and a clear onboarding plan.You’llalso collaborate closely with our sister teams (kernels,compiler, 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.

WhatYou’llDo (Responsibilities)

• Contribute production code across theML deployment platform,model-optimization workflows, andinferencebenchmarking/profiling infrastructure.
• Pair with senior engineers ondeployment workflows,performance investigations,model-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 forcompiler,kernel, runtime, and parity bugs.
• Collaborate with cross-functional teams across the AV organization;including kernels, compiler, reduced-precision, parity, and model-development groups—to 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 practicesrequiredfor on-vehicle autonomous driving software.

Your Skills & Abilities (Required Qualifications)

• Recently completed orcompletingaBachelor’s orMaster’sdegree bySpring 2026 inComputer Science,ECE, 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/orC++,demonstratedthrough 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 architecture,operating systems,distributed systems, orcompilers.
• Demonstrated software-engineering experience (internships, coursework, open-source, research code, or competitions) showing good judgment around r eliability.
• Experience with—or strong interest in—usingcoding 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 clearly—both in writing and verbally—including explaining technical workpartners

What Will Give You a Competitive Edge (Preferred Qualifications)

• Internship, research, or advanced coursework inML systems,ML compilers,GPU programming(CUDA, OpenAI Triton),inference optimization, ordistributed training/serving infrastructure.
• Familiarity withPyTorchand modern ML compiler/runtime stacks (e.g.,torch.compile,TensorRT, ONNX, Triton Inference Server,vLLM, or equivalent).
• Exposure tomodel optimization(quantization, pruning, distillation) orGPU profiling tools(Nsight Systems, Nsight Compute,PyTorchProfiler).
• Familiarity with workflow/ML platforms such asAirflow, Temporal, Flyte, Ray, or Kubeflow.
• Experience buildingagentic or LLM-powered tools or workflows.
• Open-source contributions related toPyTorch,TensorRT,vLLM, OpenAI Triton, or similar projects.
• Coursework, projects, or publications touchingML systems(e.g.,MLSys, OSDI, ASPLOS, HPCA,NeurIPSsystems 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 role is $119,250 to $150,850. 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, 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, 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.

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 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.