Top Tech Jobs & Startup Jobs

Build backend and on-robot services to author, deploy, and manage fleet workflows. Implement workflow state management, event logging, APIs, data infrastructure, cloud deployment, observability, testing, and simulation-based validation. Collaborate with robotics, AI, and product teams to create operator-facing tooling and reliable production systems.

Lead ownership of ML models and infrastructure lifecycle: develop, deploy, monitor, and improve ML systems. Build CI/CD for software and ML workflows, automate orchestration and environment management, ensure scalability, reliability, observability, and security, troubleshoot production issues, and document operational procedures while collaborating with engineers, data scientists, and product teams.

Lead development and integration of production-grade, deterministic control software for humanoid robots. Design real-time control architectures, implement high-performance control loops, industrialize algorithms, ensure safety and reliability, run automated testing (simulation and hardware-in-the-loop), manage releases, profile and optimize performance, and mentor engineers.

Lead company financial planning, budgeting, forecasting, and performance reporting. Build multi-scenario models, partner with functional teams on headcount/OPEX/CAPEX, develop dashboards, drive automation, and support strategic decision-making and investor/board reporting.

Design and implement high-fidelity robotic simulation environments with realistic physics and sensor models; build digital twin interfaces; write maintainable C++/Python code; run simulation-based tests, analyze results, and improve control and perception algorithms; collaborate across manipulation, locomotion, VLA, reasoning, hardware, and control teams; support cloud and distributed simulation workflows and stay current with simulation trends.

Lead end-to-end industrial product delivery across hardware, software, AI, and system integration. Own prioritization and roadmaps for engineers dedicated to industrial products, partner with functional leads and Ops for manufacturing readiness, and ensure pilots transition to scalable, reliable deployments meeting SLAs.

Design, simulate, and validate bipedal and wheeled robot platforms using physics simulation and reinforcement learning. Own URDF models and the CAD->URDF->simulation pipeline, develop benchmarks for locomotion/manipulation, analyze dynamics and actuator sizing, and provide quantitative feedback to hardware, control, and perception teams.

Own and improve the build system and CI infrastructure for a multi-target monorepo spanning firmware, robot software, simulation, and cloud. Build and maintain GitHub Actions pipelines, instrumentation and dashboards for CI telemetry, enforce merge/PR policies, manage remote build cache and dependency mirrors (apt, PyPI), and improve developer local-build experience to shorten feedback loops and keep main healthy.

Lead planning and execution of complex humanoid robotics NPI programs across hardware and software. Coordinate cross-functional teams globally, manage scope, schedule, cost, risks, and stakeholders, remove blockers, improve program processes, and drive predictable delivery of integrated robotic platforms.

Build and maintain device software and data pipelines for handheld gripper data collection devices. Implement sensor integration and temporal synchronization, recording/packaging episodes, validation tooling to detect data faults, operator-facing controls, and on-site support. Debug hardware integration issues and collaborate with hardware, AI, and data teams to ensure high-quality training datasets.