Senior ML Inference Engineer Platform
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Job Location:
Sunnyvale, CA - USA
Monthly Salary:
$ 128700 - 261300
Posted on:
2 days ago
Vacancies:
1 Vacancy
Job Summary
Job Description
About the Team
The Model Deployment & Inference Solutions team in GM AV deploys machine learning models from training frameworks (e.g.PyTorch) onto autonomous vehicle hardware. Our mission is two-fold: build the ML deployment platform that makes model rollouts fast andpredictable andoptimizemodels so they meet the real-time latency and memory budgetsto run on-vehicle. Our work is on the critical path of GMs publicly committed launch of eyes-off (hands-free eyes-free) autonomous driving in 2028 debuting on the Cadillac Escalade IQ building on Super Cruises billion-plus hands-free miles.
About the Role
This role sits in the teams Platform pillar. We own the unified ML deployment platform that automates the path from a trained model to inference on the vehicle along with the developer-experience andagentic-tooling layer that makes deployment self-serve for every ML model development team at GM.
Whatyoullbe doing (Responsibilities)
Design build andoperatethe ML deployment platform that automates the path from trained model to on-vehicle inference.
Drive cross-organization model deployments to the autonomous vehicle stack partnering with model development teams to take high-value models from training to production on-vehicle.
Build agentic tools that diagnose and fix deployment-blocking issues automating workflows currently performed manually by engineers.
Build the developer experience that ML model development teams use day to day: tooling dashboards automation and observability.
Drive shift-left validation that surfaces deployment risk (compile runtime parity latency) early in the model development cycle.
Build platform tools that integrate the work of our sister teams (kernels compiler reducedprecisionand parity) so their optimization wins land directly in the deployment workflow.
Partner with the teams Performance pillar and model development teams across the AV organization.
Your Skills & Abilities (Required Qualifications)
BS MS or PhD in Computer Science or a related technical field.
3 years of relevant industry experience.
Strong fundamentals and excellent coding ability in Python.
Experience building or operating production platform or infrastructure systems where reliability observability and extensibility matter.
Experience with ML model deployment inference integration model optimization workflows or model serving infrastructure with at least one prior context where you owned the path from a trained model to a running inference workload.
Experience using coding agents (Cursor Claude Code GitHub Copilot or equivalent) as part of your engineering workflow.
Experience designing clean well-tested software with clear interfaces and good abstractions.
Strong cross-team collaboration skills.
What Will Give YouACompetitive Edge (Preferred Qualifications)
Experience building agentic or LLM-powered developer tooling.
Experience with ML or workflow orchestration frameworks (Airflow Temporal Flyte Ray Kubeflow or equivalent).
Familiarity with the NVIDIA GPU stack at the integration level (CUDA-aware PythonTensorRT Triton inference server ONNX).
Experience with inference-serving frameworks (TritonTorchServe Ray ServevLLM) or edge-deployment toolchains.
Experience with low-latency or real-time systems.
Experience in autonomous vehicles robotics or other safety-critical ML deployment domains.
Open-source contributions toPyTorch Ray Airflow TemporalvLLMTensorRT or related projects.
3 years of relevant industry experience.
Compensation: The compensation information is a good faith estimate only. It is based on what a successful applicant might be paid in accordance with applicable state laws. The compensation may not be representative for positions located outside of New York Colorado California or Washington.
The salary range for this role: is$128700 to $261300. 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 tuition assistance programs employee assistance program GM vehicle discounts and more.
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Benefits Overview
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Required Experience:
Senior IC
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