Top Tech Jobs & Startup Jobs

Design, train, and deploy state-of-the-art deep learning models (transformers, CNNs) for end-to-end navigation. Build perception, prediction, and planning solutions, implement data pipelines, deploy and monitor models in production, detect drift, and troubleshoot integration and performance issues for real-world robotic systems.

Integrate humanoid hardware and software subsystems into a cohesive, deployable robot stack. Own bring-up, calibration, diagnostics, validation, and system-level debugging across perception, planning, locomotion, manipulation, controls, sensors, compute, and networking. Develop integration and regression tests, telemetry tools, dashboards, and release workflows while partnering with cross-functional teams to harden research into maintainable, field-ready modules.

Develop, integrate, test, and improve humanoid manipulation and loco-manipulation behaviors on real hardware. Integrate perception, planning, control, grasping, and whole-body coordination into deployable workflows; run daily hardware experiments, analyze failures, and iterate toward reliable field deployments. Collaborate with systems, hardware, field, and testing teams and support teleoperation, data collection, and evaluation frameworks.

Own program-level coordination across AI/ML research and engineering workstreams, tracking commitments, timelines, risks, blockers, and priorities. Translate customer and product requirements into internal plans, support customer deployments, communicate tradeoffs, and drive cross-functional resolution. Build lightweight reporting systems and partner with technical leaders without directing technical decisions. The role requires experience managing AI/ML programs, working with customers, and operating effectively in ambiguous, fast-moving environments.

Design, prototype, and validate mechanical systems for fielded robotics payloads including ruggedized enclosures, mounts, thermal management, and manufacturability. Perform CAD, FEA, thermal simulation, testing (vibration, ingress, thermal), vendor coordination, production support, and cross-functional integration with electrical and compute teams to ensure reliable field deployment.

Own and ship behavior and mission orchestration software that turns autonomy into repeatable, reliable field missions. Architect behavior orchestration, human-robot interaction, mission execution and fallback, validate on physical platforms, close the loop from field data to product, lead design reviews, and mentor cross-functional teams.

Lead and scale in-house data operations for robotics R&D: build and maintain data tooling and sensor hardware, run collection and annotation, manage interns/contractors, write SOPs and QA, and support demos and live troubleshooting.

Lead QA for software releases, perform manual and automated UI testing, triage and document defects, build lightweight test automation scripts, ensure end-to-end data quality for 3D spatial/point cloud and BIM outputs, and collaborate with engineering and data teams to resolve processing issues and improve pipelines.

Design and deploy real-time 3D scene and traversability representations for robot navigation. Develop and maintain perception, localization, and sensor-fusion systems (LiDAR, cameras, RADAR, IMU, GPS). Take prototypes to production on physical robots, validate via simulation and field testing, debug field issues, and build metrics, regression tests, and validation infrastructure while collaborating with autonomy, controls, and field teams.

Design, build, and manage hardware test and quality-control infrastructure for robotic systems. Execute mechanical, electrical, and sensor validation, support certifications, develop IQC/OQC processes, monitor fleet reliability (MTBF/MTTR), and lead failure analysis and field maintenance to ensure production readiness and durable deployments.