Senior Software Engineer, ML Infrastructure
Core
Build APIs, workers, and control planes for self-serve ML data and model workflows, focusing on data curation, annotation, quality control, versioning, and lineage for synchronized robot and simulation data.
Role type
Senior IC ML Infrastructure Engineer
Builds
Production-scale ML data pipelines, dataset assembly tools, GPU-efficient read pipelines, simulation rollout harnesses, model stores, and deployment workflows (ONNX/TensorRT).
Domain
Robotics, Autonomous Systems, ML Infrastructure
Deliverable
production ML models | infrastructure
Required skills
Python, API design, testing, Kubernetes, Docker, CI/CD, large-scale data pipelines, GPU infrastructure management, dataset versioning and lineage, ML annotation workflows, simulation harness development.
Preferred skills
Robotics data formats (MCAP, ROS, LeRobot), simulation tools (Isaac Sim, IsaacLab, MuJoCo), reinforcement/imitation learning infrastructure, edge deployment (ONNX Runtime, TensorRT).
Responsibilities
Build multi-terabyte data transformation and dataset assembly pipelines; develop GPU-based simulation rollout harnesses and automated model qualification gates; create model stores and promotion workflows for robot deployment; provide experiment tracking and reproducible container tooling; mentor engineers through code and design reviews.
Seniority
Senior, hands-on IC
