Robotics Researcher, Manipulation

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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>We are building the systems that let Asimov pick up a box, open a drawer, and operate tools. As a Robotics Researcher in Manipulation, you will develop the grasp planning, contact-rich control, and learned task policies that power Asimov's hands. You will work across model-based control, imitation learning, and reinforcement learning -- with the bar set by whether it works on the physical robot in a real environment, not just in simulation. This role combines research depth with a relentless focus on shipping to hardware.</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>Research, develop, and deploy manipulation policies for dexterous task execution on Asimov</li>\n<li>Build grasp planning and contact-rich control pipelines that generalize across varied objects and environments</li>\n<li>Design and run data collection and teleoperation infrastructure to feed policy training at scale</li>\n<li>Train manipulation policies using imitation learning, reinforcement learning, or hybrid approaches -- and iterate until they work in the real world</li>\n<li>Integrate manipulation with Asimov's perception stack and broader autonomy pipeline</li>\n<li>Systematically diagnose failure modes on hardware and drive improvement</li>\n<li>Contribute to open-source releases of manipulation research and tooling<br></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>Strong foundations in robotics, control theory, and motion planning</li>\n<li>Hands-on experience building and deploying manipulation systems on real robotic platforms</li>\n<li>Proficiency in Python and C++; experience with PyTorch or JAX</li>\n<li>Track record taking manipulation research from prototype to hardware deployment</li>\n<li>Experience with data collection infrastructure and teleoperation for policy training</li>\n<li>Practical debugging instincts across the full hardware-software stack<br></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>Experience with diffusion policies, transformer-based policy architectures, or large-scale foundation models for manipulation</li>\n<li>Prior work on dexterous or in-hand manipulation</li>\n<li>Familiarity with contact-rich or deformable object manipulation</li>\n<li>Publications at RSS, ICRA, CoRL, or equivalent venues<br></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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