Senior Software Engineer - ML Infrastructure
Core
Design and implement distributed cloud GPU training approaches and build end-to-end machine learning pipelines for the entire ML lifecycle (dataset generation, training, evaluation, deployment) to support modeling teams.
Role type
Senior IC ML Infrastructure Engineer
Builds
Distributed cloud GPU training infrastructure and end-to-end ML pipelines
Domain
Physical AI / Automotive / Defense / Autonomous Systems
Deliverable
production ML models
Required skills
Distributed systems, Cloud GPU training, Full-stack ML engineering, Open source evaluation, Production ML platform design
Preferred skills
ML orchestration (Airflow, Flyte), ML modeling frameworks (PyTorch, Tensorflow), Model serving platforms (TorchServe, TensorFlow Serving, NVIDIA Triton)
Technologies
PyTorch, Tensorflow, Airflow, Flyte, TorchServe, TensorFlow Serving, NVIDIA Triton
Responsibilities
Design distributed cloud GPU training approaches, Build end-to-end ML pipelines, Maintain high standards for ML engineering best practices, Collaborate on complex data problems at scale
Seniority
Senior, hands-on IC