About this role
You will be responsible for developing core systems to enable researchers to train frontier models at scale with a focus on speed and throughput. This includes performance profiling, optimizing distributed training pipelines, and designing high-performance GPU kernels.
Candidates must have a degree in Computer Science or a related field and strong proficiency in Python. Extensive hands-on experience with PyTorch and optimizing machine learning model execution is required.
What they're looking for
PythonPyTorchCUDATritonPerformance ProfilingDistributed TrainingGPU Kernel DevelopmentData Pipeline Engineering
Frequently asked questions
What does a ML Systems Engineer, ML Acceleration at Motional do?
You will be responsible for developing core systems to enable researchers to train frontier models at scale with a focus on speed and throughput. This includes performance profiling, optimizing distributed training pipelines, and designing high-performance GPU kernels. Candidates must have a degree …
What skills does this ML Systems Engineer, ML Acceleration role need?
Key skills for this role include Python, PyTorch, CUDA, Triton, Performance Profiling, Distributed Training.
How much does a ML Systems Engineer, ML Acceleration at Motional pay?
The employer did not list a salary for this role. Most similar Singapore roles publish their band on the job page.
Is this ML Systems Engineer, ML Acceleration role remote, hybrid, or on-site?
This role is on-site, based in Singapore.
How do I apply for this ML Systems Engineer, ML Acceleration role?
You can apply directly on Motional's careers page. ApplyLah can tailor your résumé and cover letter to this exact role in seconds first.