Robotics Research Engineer (f/m/d)

Key Responsibilities

Own physical robot and workstation uptime, including the integration of new sensors, compute units, and end-effectors, while iteratively modifying setups to improve experimental throughput.

Architect and maintain fault-tolerant, high-throughput pipelines for multi-modal data ingestion, incorporating automated data validation, quality scoring, and versioning.

Establish standardized, reproducible real-world evaluation protocols and metrics (success rate, task completion time, out-of-distribution robustness) to systematically benchmark policy progression.

Conduct end-to-end root-cause analysis across the entire robotics stack, diagnosing bottlenecks spanning physical sensors, actuators, network/communication overhead, inference runtimes, and training distribution shift.

Serve as the critical feedback loop between physical deployment and algorithm design, turning empirical hardware failures and edge cases into actionable research directions and data strategy updates.

Fine-tune, optimize, and deploy modern learning-based policies (e.g., imitation learning, diffusion policies, vision-language-action models) into real-time, low-latency control loops on physical hardware.

Skills That Will Differentiate You:

Hands-on work with VLA models or robot foundation models

Experience with industrial manipulators or mobile robots in production-like settings

Sim-to-real transfer and synthetic data generation (e.g. Isaac Sim, MuJoCo) …