Staff AI Research Engineer, Perception at RoboForce

<p><strong>Why RoboForce</strong></p> <div data-page-id="SQebduWNJoyXdvxrW44lL7ssgEf" data-lark-html-role="root" data-docx-has-block-data="false"> <div class="ace-line ace-line old-record-id-QuMndmg29oZMYrx8ohAl2Zflgwh">RoboForce is an AI robotics company developing Physical AI–powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.</div> <div class="ace-line ace-line old-record-id-QuMndmg29oZMYrx8ohAl2Zflgwh">&nbsp;</div> <div class="ace-line ace-line old-record-id-GJtddtdoMohhupxaxgslqTIPggc">We are seeking a <strong>Staff </strong><strong>AI</strong><strong> Research Engineer, Perception</strong> to lead robot perception capabilities from research to real-world deployment. In this role, you will develop and ship production-grade perception models — spanning object detection, pose estimation, depth estimation, and scene understanding — directly onto RoboForce robotic platforms operating in demanding industrial environments.</div> <div class="ace-line ace-line old-record-id-Yjuxd1zfSofYz6x2nIQlj8cAgXf">&nbsp;</div> <div class="ace-line ace-line old-record-id-Yjuxd1zfSofYz6x2nIQlj8cAgXf"><strong>Responsibilities</strong></div> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-K9OtdgJbWojBn1x9dkYlZOfggiu" data-list="bullet"> <div>Develop and own state-of-the-art perception models for object detection, 6-DoF pose estimation, depth estimation, multi-object tracking, and multi-sensor fusion from research through to on-robot deployment.</div> </li> <li class="ace-line ace-line old-record-id-Dvy8d3jSeoHSS4xorSulnJjfg5g" data-list="bullet"> <div>Build and optimize full perception stacks end-to-end — from data preparation and model training to quantization, TensorRT conversion, and inference optimization on robot compute hardware.</div> </li> <li class="ace-line ace-line old-record-id-Qb6ddcwqVo9nKyxY5yJllIZkgmf" data-list="bullet"> <div>Implement multi-task learning pipelines and distributed training workflows to maximize model efficiency and generalization across diverse industrial scenarios.</div> </li> <li class="ace-line ace-line old-record-id-P15admjeWocWwRxTVpZlKUorg2c" data-list="bullet"> <div>Profile and optimize deployed perception models for latency, throughput, and memory constraints on embedded robot hardware.</div> </li> <li class="ace-line ace-line old-record-id-VVEBd7HehoZ1WAxZ1igloLrzgmf" data-list="bullet"> <div>Collaborate with manipulation and foundation model teams to integrate perception outputs — object poses, depth maps, scene graphs — into downstream robot control policies.</div> </li> </ul> <div class="ace-line ace-line old-record-id-Rv08dClkTofqisxbmnllvJBVgzU"><strong>Requirements</strong></div> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-JXepdUJSQocGijxJaCml6H6VgOf" data-list="bullet"> <div>Master's degree in Machine Learning, AI, Robotics, or a related field with 4+ years of industry experience, or a PhD degree.</div> </li> <li class="ace-line ace-line old-record-id-XKLtdzVhBogjYwx9lVelZGqXgRe" data-list="bullet"> <div>Expertise in modern computer vision architectures and perception techniques including detection, segmentation, pose estimation, and depth estimation.</div> </li> <li class="ace-line ace-line old-record-id-NwANdNKKyoe5bGxQvFylSBNrgKg" data-list="bullet"> <div>Proven experience deploying perception models to production systems — including model optimization, quantization, and inference runtime engineering (e.g., TensorRT, ONNX Runtime).</div> </li> <li class="ace-line ace-line old-record-id-XZvtdecb9obiJOxSKotllKuCg6f" data-list="bullet"> <div>Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow, and strong proficiency in Python and C++.</div> </li> <li class="ace-line ace-line old-record-id-SQkrdBpIPo6TUtxBAMalUH23gDO" data-list="bullet"> <div>Strong understanding of linear algebra, projective geometry, probabilistic theory, and numerical optimization, with practical experience implementing these in real systems.</div> </li> <li class="ace-line ace-line old-record-id-ZpN9dHUj3oSgxCxvIdIlQl1Gglf" data-list="bullet"> <div><strong>Requires 5 days/week in-office collaboration with the teams.</strong></div> </li> </ul> <div class="ace-line ace-line old-record-id-GEJtdYu6DoquKTxl2RmlBJH7g0f"><strong>Bonus Qualifications</strong></div> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-DEzVdP7fcom4GIxpKqdlgKuUg3d" data-list="bullet"> <div>Experience deploying perception models on embedded or edge hardware (e.g., NVIDIA Jetson, Orin) in robotics or autonomous systems.</div> </li> <li class="ace-line ace-line old-record-id-OiqKdTJ4Gojo5Mxx0ExlsNBcg9e" data-list="bullet"> <div>Familiarity with 3D perception techniques — point cloud processing, neural rendering, 3D reconstruction, or NeRF/Gaussian Splatting.</div> </li> <li class="ace-line ace-line old-record-id-CFtednUzroGNJ0xt3TalCsNRgdc" data-list="bullet"> <div>Proven ability to scale perception training across GPU clusters and design robust data pipelines for large-scale visual datasets.</div> </li> <li class="ace-line ace-line old-record-id-A39UdZSRPoIVWexwKaFl9Svegne" data-list="bullet"> <div>Publication at top computer vision or robotics conferences (CVPR, ICCV, ECCV, ICRA, CoRL).</div> </li> </ul> <div class="ace-line ace-line old-record-id-BWxUdKtvwoWjyix9cRglGS5AgmF"><strong>Benefits</strong></div> <ul class="list-bullet1"> <li class="ace-line ace-line old-record-id-RTtfdjDJGopgSwx9JsolzW5YgFm" data-list="bullet"> <div>Competitive stock options/equity programs.</div> </li> <li class="ace-line ace-line old-record-id-CfhxdddBNoMVrgxVUsnlVSQcgZc" data-list="bullet"> <div>Health, dental, and vision insurance, 401(k) plan.</div> </li> <li class="ace-line ace-line old-record-id-Wnf9duA8do4pAVxZ14blLOzTgEY" data-list="bullet"> <div>Visa sponsorship and green card support for qualified candidates.</div> </li> <li class="ace-line ace-line old-record-id-WNZWdYBhsoMbg7x5o0qlg3ADgWi" data-list="bullet"> <div>Lunches and dinners, a fully stocked kitchen, and regular team-building events.</div> </li> </ul> </div>