Machine Learning Systems Engineer

Motional

Machine Learning Systems Engineer joining ML Acceleration team at Motional. Responsible for core systems for large-scale distributed model training and optimization.

Posted 5/11/2026full-timeRemote • 🇺🇸 United StatesMid-LevelSenior💰 $144,000 - $192,000 per yearWebsite

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Utilize profiling tools (e.g., Nsight, PyTorch Profiler) to identify bottlenecks in data loading, gradient computation, and communication. Implement optimizations like kernel fusion, sharding, and tiling to improve step time.
Optimize distributed training pipelines using frameworks such as PyTorch Distributed.
Design and maintain high-performance GPU kernels in Triton or CUDA for state-of-the-art ML workloads.
Optimize robust data loading pipelines that maximize training throughput.

Requirements

What you’ll need

Bachelor’s, Master’s degree, or PhD in Computer Science, Computer Engineering, or a related technical discipline.
Strong proficiency in Python.
Extensive hands-on experience with PyTorch.
Experience optimizing machine learning model execution during training and inference, alongside a strong understanding of fundamental machine learning concepts, architectures, and processes.
Exceptional analytical and problem-solving skills, with a bias for action and a data-driven approach to technical challenges.

Benefits

Comp & perks

medical
dental
vision
401k with a company match
health saving accounts
life insurance
pet insurance
more

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonPyTorchCUDATritonkernel fusionshardingtilingdistributed trainingdata loading optimizationmachine learning

Soft Skills

analytical skillsproblem-solving skillsdata-driven approachbias for action

Certifications

Bachelor’s degreeMaster’s degreePhD