Machine Learning Engineer, AI Inference Solutions (Early in Career)
General Motors1 day ago
Base Salary
$119k - $151k/yr
Responsibilities
- Contribute production code across ML deployment platforms, model-optimization workflows, and inference benchmarking and profiling infrastructure.
- Pair with senior engineers on deployment workflows, performance investigations, optimization experiments such as quantization, pruning, and distillation, and platform tooling.
- Build, test, and maintain validators, performance probes, parity and sensitivity analyzers, and agentic specialist tools.
- Investigate and help resolve production deployment and performance issues involving compilers, kernels, runtimes, and parity.
- Collaborate with autonomous-vehicle engineering teams to plan and execute model deployments to the vehicle software stack.
- Participate in code reviews, design discussions, and technical documentation.
- Apply secure coding, safety, and compliance practices for on-vehicle autonomous-driving software.
Requirements
- Recently completed or completing a bachelor’s or master’s degree in Computer Science, ECE, or a related technical field by Spring 2026, with the degree completed before starting.
- Strong computer science fundamentals in areas such as data structures, algorithms, operating systems, computer architecture, and solid coding skills in Python and/or C++.
- Hands-on AI/ML experience through coursework, 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 work, research code, or competitions.
- Experience with or strong interest in coding assistants and agents such as Cursor, Claude Code, or GitHub Copilot.
- Ability to collaborate cross-functionally and communicate technical work clearly.
- Preferred experience includes ML systems, ML compilers, GPU programming, inference optimization, distributed training or serving infrastructure, PyTorch, modern ML compiler and runtime stacks, model optimization, GPU profiling, ML workflow platforms, and agentic or LLM-powered tools.
- Familiarity with systems languages such as C++ and development in a Linux environment is preferred.
Benefits
- Medical, dental, vision, Health Savings Account, and Flexible Spending Account options.
- Retirement savings plan, sickness and accident benefits, life insurance, paid vacation, and holidays.
- Tuition assistance, employee assistance program, and GM vehicle discounts.
- Hybrid work arrangement in Sunnyvale, California, requiring onsite work at least three times per week.
- The role may be eligible for relocation benefits.
Categories
About General Motors
General Motors designs, manufactures, and sells cars, trucks, and electric vehicles for consumers and commercial fleets under brands including Chevrolet, GMC, Cadillac, and Buick. A public company on the NYSE headquartered in Detroit and founded in 1908, it operates globally and is developing EVs on its Ultium battery platform. Revenue comes from vehicle and parts sales, connected services such as OnStar, and financing through GM Financial.