Machine Learning Engineer – AI Inference Solutions

General Motors

. Contribute production code across the ML deployment platform, model-optimization workflows, and inference benchmarking/profiling infrastructure .

Posted 10/6/2026full-timeSunnyvale • California • United StatesMid-LevelSenior💰 $119,250 - $150,850 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates strong coding skills in Python and C++, with hands-on experience in AI/ML and a solid understanding of computer science fundamentals. Capable of collaborating effectively in cross-functional teams while adhering to secure coding and compliance practices in autonomous-driving software.

Highest-signal resume keywords

Python ProgrammingC++ ProgrammingAI/ML ExperienceComputer ArchitectureModel Optimization

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data StructuresAlgorithmsOperating SystemsSoftware EngineeringDistributed SystemsCompilersPerformance OptimizationInference BenchmarkingSecure Coding PracticesTechnical Documentation

Soft Skills

CollaborationClear Communication

Tools & Technologies

PyTorchTensorRTONNXTriton Inference ServerCursorClaude CodeGitHub CopilotAirflowTemporalKubeflow

Industry Keywords

ML DeploymentAutonomous VehiclesPerformance ProbesModel DevelopmentAgentic Tools

Tech Stack

Tools & technologies

AirflowDistributed SystemsLinuxPythonPyTorchRaySpringC++

About the role

Key responsibilities & impact

Contribute production code across the ML deployment platform, model-optimization workflows, and inference benchmarking/profiling infrastructure
Pair with senior engineers on deployment workflows, performance investigations, model-optimization experiments, and platform tooling
Build, test, and maintain platform tools such as validators, performance probes, parity and sensitivity analyzers, and agentic specialists
Investigate and help root-cause production deployment or performance issues across compiler, kernel, runtime, and parity systems
Collaborate with kernels, compiler, reduced-precision, parity, and model-development teams to plan and execute model deployments to the autonomous-vehicle stack
Participate in code reviews, design discussions, and technical documentation
Follow secure coding, safety, and compliance practices for on-vehicle autonomous-driving software

Requirements

What you’ll need

Recently completed or completing a Bachelor’s or Master’s degree by Spring 2026 in Computer Science, ECE, or a related technical field; degree must be completed before the start date
Strong computer science fundamentals, including data structures, algorithms, operating systems, and computer architecture
Solid coding skills in Python and/or C++, demonstrated through coursework, internships, or substantial projects
Hands-on AI/ML experience through classes, research, internships, or personal projects
Depth in at least one of computer architecture, operating systems, distributed systems, or compilers
Demonstrated software-engineering experience through internships, coursework, open-source, research code, or competitions
Experience with or strong interest in coding assistants/agents such as Cursor, Claude Code, or GitHub Copilot
Ability to work effectively in collaborative, cross-functional teams and communicate clearly in writing and verbally
Preferred: internship, research, or advanced coursework in ML systems, ML compilers, GPU programming, inference optimization, or distributed training/serving infrastructure
Preferred: familiarity with PyTorch and ML compiler/runtime stacks such as torch.compile, TensorRT, ONNX, Triton Inference Server, or vLLM
Preferred: exposure to model optimization or GPU profiling tools
Preferred: familiarity with Airflow, Temporal, Flyte, Ray, or Kubeflow
Preferred: experience building agentic or LLM-powered tools or workflows
Preferred: open-source contributions related to PyTorch, TensorRT, vLLM, OpenAI Triton, or similar projects
Preferred: coursework, projects, or publications touching ML systems
Preferred: familiarity with C++ and Linux

Benefits

Comp & perks

Relocation benefits may be available
Medical, dental, and vision benefits
Health Savings Account
Flexible Spending Accounts
Retirement savings plan
Sickness and accident benefits
Life insurance
Paid vacation and holidays
Tuition assistance programs
Employee assistance program
GM vehicle discounts
Incentive pay program based on company, job level, and individual performance