ML Engineer, II - Simulation Enablement
AI summary of the role
Torc Robotics seeks an ML Engineer to embed with one or two Autonomy teams and drive adoption of Torc Sim, the simulation platform for replay, recompute, evaluation, and visualization of autonomous driving models.
What you’ll do
- Act as embedded point of contact between Dataloop + Simulation and one to two Autonomy teams, driving hands-on adoption of Torc Sim
- Implement end-to-end data flow: data ops platform → simulation environment → persistent storage at scale
- Onboard Autonomy models to execute replay/recompute workflows at scale and subsequent metric evaluation
- Ensure adoption of visualization tooling and bring back UI/UX improvements for development backlog
What you’ll bring
- Bachelor's in CS, Robotics, EE or related + 4+ years experience, OR Master's + 2+ years
- Strong Python skills and experience building/operating data pipelines at scale
- Experience with simulation, replay, or model validation
- Familiarity with autonomy or robotics ML models (perception, tracking, prediction, planning) and their data
Technologies
Python · simulation · replay · data pipelines · cloud storage · compute · Foxglove · OpenGL · Three.js · MCAP · Parquet · PyArrow
About Torc Robotics
Builds Level 4 self-driving truck software and operations for fleet customers, tightly integrated with Daimler’s Freightliner Cascadia for hub-to-hub long-haul freight.
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