Senior AI Tooling Engineer

General Motors

ML tooling engineer developing tools to analyze and optimize AI models for autonomous vehicles. Collaborating with teams to enhance GM's internal ML tooling for high performance software.

Posted 7/10/2026full-timeSunnyvale • California • 🇺🇸 United StatesSenior💰 $144,700 - $261,300 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in AI/ML with a strong focus on improving training and inference efficiency, alongside proficiency in ML frameworks and production-quality coding. Capable of influencing model architecture decisions and evolving toolchains to leverage advancements in AI.

Highest-signal resume keywords

AI/ML ExperienceML Frameworks (PyTorch, TensorFlow)Production Quality Python/C++ CodingSoftware Development Life-Cycle ExpertiseNVIDIA Developer Ecosystem (TensorRT, Nsight-systems, Nsight-compute)

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI/ML ExperienceProduction Quality Python CodingProduction Quality C++ CodingSoftware Development Life-CycleDebuggingOptimizationTestingIntegration

Tools & Technologies

PyTorchTensorFlowTensorRTNsight-systemsNsight-compute

Industry Keywords

Model ArchitectureTraining EfficiencyInference EfficiencyPerformance AnalysisDistributed TrainingDistillation JobsAI Advancements

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Identify new opportunities to improve both training and inference efficiency
Build workflows for correctness and performance analysis on physical in-car compute and sensors
Build tooling to predict model performance based on architecture and data shape
Build tooling to trace actual performance on large distributed training and distillation jobs, running on the world’s most powerful GPUs, and analyze the results
Continually evolve the toolchain and stack, to leverage the latest advancements in AI
Influence model architecture decisions and strategy within GM

Requirements

What you’ll need

3+ years of experience in the field of AI/ML
Experience with ML frameworks (e.g., PyTorch, TensorFlow) and NVIDIA developer ecosystem (TensorRT, Nsight-systems, Nsight-compute)
Expertise in writing production quality Python/C++ code
Expertise in the software development life-cycle - coding, debugging, optimization, testing, integration
BS, or higher degree, in CS/CE/EE, or equivalent

Benefits

Comp & perks

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.