menlo - Robotics Researcher, Navigation
Requirements
• Prior work on legged or humanoid navigation specifically • Experience with learning-based planning or visuomotor navigation policies • Familiarity with neural map representations or semantic scene understanding • Publications at ICRA, IROS, CoRL, RSS, or equivalent venues
Responsibilities
• Research, develop, and deploy navigation algorithms for bipedal humanoid robots operating in complex indoor environments • Own localization, mapping, and SLAM pipelines capable of running in real time on embedded compute • Build planning frameworks that account for the physical constraints of a legged platform -- footstep planning, terrain traversal, dynamic obstacle avoidance • Integrate navigation with Asimov's broader autonomy stack including perception and locomotion • Develop data collection and evaluation infrastructure to benchmark performance across environments • Systematically close the sim-to-real gap using Uranus and hardware iteration • Contribute to open-source releases of navigation research and tooling • Strong foundations in estimation theory, probabilistic robotics, and motion planning • Proven track record building and deploying SLAM, planning, or autonomous navigation systems on real robots • Proficiency in Python and C++; familiarity with ROS or equivalent middleware • Experience getting systems to work end-to-end -- not just in simulation • Ability to debug across the hardware-software boundary and move fast on ambiguous problems
Benefits
• This is applied robotics research with real stakes -- your code runs on a physical humanoid. We open-source aggressively, so your contributions reach the broader community. You will work alongside researchers and engineers across the full stack, in a team that values shipping over presenting. Competitive compensation and equity. • You don't need deep AI expertise for every role, but we do expect everyone at Menlo to be intellectually curious, drawn to tinkering and discovery, and excited to use AI as a real collaborator in their work. For some roles, AI fluency is a core requirement. When that's the case, we'll say so explicitly in the qualifications. People who thrive here don't treat AI as a novelty. They use it to think better, and make their work easier for others to build on. • Equal Opportunity and Accommodations
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