Jobs at Menlo Inc.

Owns final assembly and test quality at a contract manufacturer from trial builds through mass production. Responsibilities include yield analysis, inspection criteria, outgoing quality, NPI phase-gate readiness, root-cause and corrective actions, process audits, non-conformance disposition, quality metrics, and continuous improvement. Partners with engineering and manufacturing teams to resolve defects and ensure products meet design and shipment requirements.

Design, train, and deploy reinforcement learning policies for humanoid manipulation, grasping, dexterous control, and whole-body coordination. Own the MuJoCo-based sim2real pipeline, including rewards, environments, contact modeling, and domain randomization. Test policies on real robot hardware, use telemetry to improve failures, and collaborate with locomotion, controls, and hardware researchers. Open-source robotics and reinforcement learning work where possible.

Design, train, and deploy reinforcement learning policies for bipedal and whole-body humanoid locomotion. Own the sim-to-real pipeline, reward design, domain randomization, MuJoCo training environments, and hardware validation. Improve balance, gait, recovery, and terrain robustness using real-robot telemetry. Collaborate with hardware, controls, and manipulation researchers, while contributing to open-source robotics and research publications.

Deploy and improve humanoid robotic systems in real customer and industrial environments. Diagnose field failures, collect and curate deployment data, fine-tune models, design evaluations, and translate deployment challenges into reusable research and product capabilities. Collaborate with research and platform teams while helping define scalable operating practices for deploying, improving, and scaling robotic systems.

Own the US research-market territory for Asimov, building relationships with university labs, corporate R&D teams, and physical-AI startups. Conduct technical discovery, recommend robot configurations and services, lead demonstrations and deployments, support procurement, expand successful adoptions, and relay customer feedback to product and engineering teams. The role requires technical robotics and AI fluency, hands-on robot operation, public presentations, commercial selling, and frequent travel.

Open invitation for unconventional, hybrid thinkers to join Menlo Research's applied R&D lab building an open-source humanoid robot platform. Contributors work across hardware, locomotion, autonomy, simulation, and software infrastructure, shipping to real robots, using AI as a collaborator, and thriving in fast-moving, high-performance teams.

Design, train, and evaluate multi-modal world models for a humanoid robot platform. Advance self-supervised visual and sensor representations, prototype generative/predictive architectures, own data pipelines, integrate research into real robots, and contribute to sim-to-real, inverse dynamics, and sensor fusion.

Build, maintain, and ship the Jan cross-platform desktop app using Tauri. Work full-stack (React/Node.js frontend, Rust native), own packaging, builds, installers, auto-update, code signing, and release pipelines, and provide first-class Linux support. Integrate local model runtimes and use agent-native workflows to iterate quickly while ensuring reliability and performance.