Top Tech Jobs & Startup Jobs

Translate customer use cases into deployed robotic solutions: scope projects, design and prototype grippers/EOAT and fixtures, validate work-cells, debug systems, and collaborate on AI model deployment and data-collection strategies to drive robust field performance.

Lead system-level safety for humanoid robots: perform hazard analyses and risk assessments, derive functional and technical safety requirements, design fail-safe and degraded-mode behaviors, develop V&V test cases, and deploy system safety validation equipment at HIL, SIL, and system levels.

Lead end-to-end power-management for generalist robots: architect LDOs/buck/boost/PMICs, implement multi-rail sequencing, design BMS and chargers, perform battery characterization, bring designs from schematic through simulation to lab bring-up, debug, and ship, and collaborate closely with firmware, systems, and mechanical teams while working with I2C/SPI/CAN interfaces.

Build and operate scalable inference infrastructure to deploy large foundation models across cloud and on-prem GPU clusters. Implement Kubernetes-based deployment pipelines, resource scheduling, model serving integrations, deployment/versioning tooling, and observability to ensure reliable, cost-effective model workloads in research and production.

Develop and maintain onboard control software for humanoid robots, including control loops, state estimation, actuator interfaces, and motion planning. Integrate learned policies with hardware, improve system reliability and fault recovery, debug sim-to-real discrepancies, and support hardware bring-up and field testing.