Robotics Researcher, Perception & Vision

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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 sensory substrate that lets Asimov understand its environment. As a Robotics Researcher in Perception and Vision, you will own the pipeline from raw sensor data through object detection, 3D scene understanding, and semantic representation -- producing the outputs that downstream planning and manipulation systems depend on. Your models run on the robot, in real time, in the real world. Closing the sim-to-real gap is not someone else's problem; it is core to this role.</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>Design, train, and deploy perception systems for object detection, segmentation, depth estimation, and 3D scene reconstruction</li>\n<li>Build multi-modal pipelines that fuse RGB, depth, and inertial data into robust real-time representations</li>\n<li>Develop and scale vision models that transfer reliably from Uranus to physical hardware</li>\n<li>Optimize inference pipelines for performance constraints on embedded compute</li>\n<li>Work closely with navigation and manipulation teams to ensure perception outputs meet downstream requirements</li>\n<li>Drive systematic evaluation on hardware and iterate on failure modes</li>\n<li>Contribute to open-source releases of perception models 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>Deep foundations in computer vision, 3D geometry, and deep learning</li>\n<li>Hands-on experience building and deploying perception systems on physical robots or real-time embedded platforms</li>\n<li>Proficiency in Python and C++; strong experience with PyTorch or JAX</li>\n<li>Track record taking perception models from research prototype to deployed inference</li>\n<li>Experience with sensor fusion across camera, depth, and inertial modalities</li>\n<li>Practical instincts for understanding why models break in the real world<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 vision-language models, open-vocabulary detection, or embodied scene understanding</li>\n<li>Familiarity with NeRF, Gaussian splatting, or differentiable rendering approaches</li>\n<li>Prior work on manipulation or mobile robotics perception</li>\n<li>Publications at CVPR, ICCV, ECCV, 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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