ML Engineer, Real-Time Inference for Autonomous Driving

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

Benefits offered by this job

Health benefits

Tuition assistance

Employee assistance program

GM vehicle discounts

Job summary

General Motors in Sunnyvale, CA, is hiring an early-career Engineer to help build and optimize the ML deployment platform for on-vehicle inference, collaborating with senior engineers on real deployments and production workflows.

You will learn from experienced teams, work across kernels, compiler, and parity groups, and contribute to model optimization and reliability in safety-critical software. Pending start date in 2026.

Qualifications

• Recently completed or completing a Bachelor’s or Master’s degree by Spring 2026 in Computer Science, ECE, or a related technical field.

Responsibilities

• 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 (quantization, pruning, distillation), and platform tooling.
• Build, test, and maintain platform 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 for compiler, 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 practices required for on-vehicle autonomous driving software.

Skills

Python

C++

AI/ML experience

Computer architecture

Operating systems

Distributed systems

Compilers

Software engineering

Code assistants

Teamwork / communication

Education

Bachelor’s or Master’s in CS or ECE

Tools

PyTorch

TensorRT

ONNX

Triton

Airflow / Kubeflow

Job description

General Motors in Sunnyvale, CA, is hiring an early-career Engineer to help build and optimize the ML deployment platform for on-vehicle inference, collaborating with senior engineers on real deployments and production workflows.

You will learn from experienced teams, work across kernels, compiler, and parity groups, and contribute to model optimization and reliability in safety-critical software. Pending start date in 2026.