18 часов назад
Perception Engineer (Robotics)
200 000 - 300 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Perception Engineer (Robotics): Building and deploying vision systems for NEO humanoid robots, including geometric perception, pose estimation, scene reconstruction, and sensor fusion with an accent on physical-hardware reliability and safe robot motion. Focus on camera-based kinematic calibration, production ML on embedded compute, fleet-scale validation, and measuring perception improvements through deployed robot behavior.
Location: San Carlos, California, United States; on-site
Salary: $200,000–$300,000 per year plus equity
Company
develops humanoid robots designed to perform household tasks safely in real-world environments. Its flagship NEO robot combines robotics, artificial intelligence, and manufacturing at production scale.
What you will do
- Own perception systems for NEO from initial prototypes through fleet-wide deployment.
- Develop kinematic calibration systems that recover each robot’s geometry from camera data.
- Build 3D scene understanding, terrain reconstruction, and human and object pose estimation for locomotion and manipulation.
- Design sensor synchronization and fusion across cameras and inertial sensors.
- Automate intrinsic and extrinsic camera calibration on the production line and monitor drift across deployed robots.
- Establish datasets and evaluation metrics that connect perception changes to real robot behavior.
Requirements
- 5+ years of relevant industry experience, or an advanced degree with equivalent hands-on experience.
- Experience training, evaluating, and deploying deep learning models for detection, depth, or pose estimation in PyTorch.
- Strong geometric computer vision skills, including camera models, multi-view geometry, nonlinear optimization, and intrinsic and extrinsic calibration.
- Strong Python and modern C++ skills, with experience in testing, code review, and large shared codebases.
- Experience owning perception capabilities end to end, from problem definition through deployment and iteration on real hardware failures.
- Experience with visual-inertial odometry or SLAM, sensor synchronization and fusion, robot kinematics, or frame transformations.
Nice to have
- Experience with segmentation and classification models, open-vocabulary or foundation backbones, and domain-specific fine-tuning.
- Experience with differentiable rendering, neural rendering, or Gaussian splatting for scene and terrain reconstruction.
- Experience automating calibration and validation in manufacturing or building field diagnostic tools.
- Familiarity with radar, thermal, or near-infrared sensing.
Culture & Benefits
- Comprehensive medical, dental, and vision coverage.
- Paid time off, company holidays, and parental leave.
- 401(k) plan with company matching, plus FSA and HSA options.
- Commuter benefits, disability and life insurance, and an employee assistance program.
- On-site snacks and catered lunches.
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