Senior AI Tooling Engineer

The Role

We are looking for an ML tooling engineer to build tools to analyze and optimize distillation training and inference of ML models. You will develop and enhance GMs internal ML tooling for high performance software by leveraging state of the art tools like Nsight Systems PyTorch etc.

The Autonomous Vehicle (AV) software stack heavily relies on machine learning models to perform critical driving tasks. These cutting-edge custom ML models require an ecosystem of in-house tooling to analyze and improve this role you will collaborate closely with engineers and researchers from different AV Engineering teams (e.g. Computer Vision Perception Behavioral Prediction) to scope out system requirements while engaging with AV hardware teams to understand the target hardware platform and its constraints.

What Youll Be Doing (Responsibilities)

• 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 worlds 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

Your Skills & Abilities (Required Qualifications)

• 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

What Will Give YouACompetitive Edge (Preferred Qualifications)

• Experience developing and deploying machine learning models

• GPU programming (CUDA) and familiarity with ML SW stack (e.g. cuDNN cuBLAS)

• Experience with ML accelerators and hardware architecture

• 3 years of experience in the field of AI/ML or relevant 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$144700 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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