Robotics Researcher, Navigation

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    "description": "<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">About Menlo</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Menlo Research is an Applied R&amp;D lab building Asimov, an open-source humanoid robot platform, and the full software stack that powers it. Our mission is to make humanoid labor economically viable -- turning software into physical labor at scale. We build across the full stack: hardware architecture, locomotion, autonomy, simulation, and infrastructure. We move fast, ship to real robots, and open-source everything we can. If you want your work to matter beyond a paper or a demo, this is the place.</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"> </span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">The Role</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">We are building the systems that let Asimov understand where it is and decide where to go. As a Robotics Researcher in Navigation, you will own the full stack from state estimation and mapping through global and local planning -- closing the loop between perception outputs and motion execution in dynamic, unstructured real-world environments. This is an applied research role. You will train and deploy in simulation (Uranus), validate on physical hardware, and iterate until it works in the real world.</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"> </span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">What You Will Do</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Research, develop, and deploy navigation algorithms for bipedal humanoid robots operating in complex indoor environments</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Own localization, mapping, and SLAM pipelines capable of running in real time on embedded compute</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Build planning frameworks that account for the physical constraints of a legged platform -- footstep planning, terrain traversal, dynamic obstacle avoidance</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Integrate navigation with Asimov's broader autonomy stack including perception and locomotion</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Develop data collection and evaluation infrastructure to benchmark performance across environments</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Systematically close the sim-to-real gap using Uranus and hardware iteration</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Contribute to open-source releases of navigation research and tooling</span></li>\n</ul>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"> </span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">What You Will Bring</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Strong foundations in estimation theory, probabilistic robotics, and motion planning</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Proven track record building and deploying SLAM, planning, or autonomous navigation systems on real robots</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Proficiency in Python and C++; familiarity with ROS or equivalent middleware</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience getting systems to work end-to-end -- not just in simulation</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Ability to debug across the hardware-software boundary and move fast on ambiguous problems</span></li>\n</ul>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"> </span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Nice to Have</span></p>\n<ul>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Prior work on legged or humanoid navigation specifically</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Experience with learning-based planning or visuomotor navigation policies</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Familiarity with neural map representations or semantic scene understanding</span></li>\n<li><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Publications at ICRA, IROS, CoRL, RSS, or equivalent venues</span></li>\n</ul>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"> </span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt; font-weight: bold\">Why Join Menlo</span></p>\n<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">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.</span></p>",
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