Apptronik
Senior Software Engineer, ML Infrastructure
Austin, TX · Senior
Sponsorship not specifiedDetected 8 days ago
PythonCode ReviewCloud PlatformsDockerKubernetesAPI DevelopmentMachine LearningData EngineeringComputer VisionMLOpsStatisticsLogisticsRobotics
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Cap-exempt (no lottery)0
Sponsors this role70
Entry-level history0
PERM / green-card track0
Lottery odds40
Fits your clock70
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About the role
- Scale is the name of the game: every robot and teleoperator we field produces synchronized video, proprioceptive, tactile, and force-torque streams, and the fleet's output grows with every deployment.
- Turning that volume of data into shipped autonomy - routinely, at multi-terabyte scale - is what this role is about.
- This is a hands-on role on a small team whose platform is depended on daily by researchers and engineers across MLOps, Autonomy, Data Platform, and TeleOp.
Responsibilities
- You will build the ML platform - the APIs, workers, and control planes that let researchers and robot teams move data and models through the system in a self-serve manner, with the testing and observability that being a dependency implies.
- Build the model store - versioning, metadata, attached evaluation results, lineage - and the promotion path from trained to qualified to deployed on robot, including packaging (ONNX, TensorRT) in partnership with Autonomy.
- Build the rollout harnesses that evaluate policies in simulation on our GPU cluster; the benchmarks and metrics captured consistently across simulation, real-robot, and teleoperation sources; and the qualification gates a model must pass before it reaches Apollo - automatic, not manual review.
- Alongside the technical work, you will partner with Autonomy, Data Platform, and TeleOp on dataset and model lifecycle contracts, contribute to the technical direction of these layers, and mentor the engineers around you through code and design review.
- Model Promotion: Build the model store - versioning, metadata, attached evaluation results, lineage - and the promotion path from trained to qualified to deployed on robot, including packaging (ONNX, TensorRT) in partnership with Autonomy.
- Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life.
Requirements
- a track record of designing and shipping production systems and services that other teams depend on daily.
- Must be able to lift 15 pounds at times
Nice to have
- Robotics data formats and fleet-scale telemetry (MCAP, ROS, LeRobot, or equivalent).
- Simulation-in-the-loop evaluation with Isaac Sim, IsaacLab, MuJoCo, or equivalent.
- Deploying ML models to edge targets (ONNX Runtime, TensorRT, robot fleets).
Benefits
- Our flagship humanoid robot, Apollo, is built to collaborate thoughtfully with people, starting with critical industries such as manufacturing and logistics, with future applications in healthcare, the home, and beyond.
- Make multi-terabyte dataset operations routine - transformation and assembly, coverage and quality statistics that tell us a training set is good before we spend a cluster-week on it, and read paths that keep GPUs fed.
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This listing is sourced directly from Apptronik's careers page and normalized into a canonical job model.