2 дня назад
Perception Team Lead (Robotics)
240 000 - 299 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Perception Team Lead (Robotics): Defining the technical direction and building production-grade perception systems for autonomous manufacturing robots with an accent on 3D computer vision, sensor fusion, and real-time reliability. Focus on designing full perception pipelines, integrating LiDAR and camera systems, and deploying robust models in industrial environments.
Location: On-site in the San Francisco Bay Area, California, United States
Salary: $240,000–$299,000 per year
Company
builds autonomous factories that combine AI, software, robotics, and full-stack manufacturing for aerospace and defense production.
What you will do
- Define and drive the multi-year technical roadmap for the Perception team.
- Lead architecture for object detection, tracking, segmentation, 6-DoF pose estimation, and scene understanding.
- Define interfaces between perception, motion planning, manipulation, control, and simulation systems.
- Set the sensor fusion strategy across LiDAR, structured light, RGB, and depth cameras, including calibration pipelines.
- Establish data, labeling, model training, evaluation, deployment, and real-world validation practices.
- Lead technical hiring, mentor engineers, and represent perception in cross-functional reviews and research collaborations.
Requirements
- 10+ years of software engineering experience in computer vision, robotics perception, or autonomous systems.
- Technical leadership experience at Staff or Principal level, or equivalent scope.
- Expertise in 3D computer vision, point clouds, depth estimation, stereo, structured light, multi-view geometry, or LiDAR algorithms.
- Strong machine learning foundations covering model architecture, training infrastructure, and production deployment.
- Experience with real-time perception systems and applied robotics in manufacturing, logistics, or similar environments.
- Strong C++ and Python skills, with the ability to make architectural decisions and align teams.
Nice to have
- M.S. or Ph.D. in Computer Science, Robotics, or a related field.
- Experience with multimodal calibration, temporal alignment, and uncertainty quantification.
- Edge model optimization using quantization, distillation, TensorRT, or equivalent tools.
- Publications, patents, or significant open-source contributions in computer vision, robotics perception, or machine learning.
Culture & Benefits
- Medical, dental, vision, and life insurance.
- 401(k) plan.
- Flexible vacation policy.
- Equity compensation.
- Relocation support may be available in certain situations based on business need.
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