Director of Perception
Team: Robust AI
Location: San Carlos, CA
Commitment: Full Time
Workplace Type: onsite
What you will bring to the table:
- PhD or MS in Computer Science, Robotics, Electrical Engineering, or related field with 8+ years of relevant experience or BS with 10+ years
- 3+ years of experience leading and managing technical teams
- Deep expertise in computer vision, including object detection, segmentation, tracking, 3D reconstruction, and/or scene understanding
- Proven track record of shipping perception systems in real-world robotics or autonomous systems applications
- Strong foundation in machine learning, particularly deep learning for vision tasks
- Experience with sensor fusion across cameras, depth sensors, and other modalities
- Excellent software engineering skills and experience with production ML systems
- Strong communication skills with ability to explain complex technical concepts to diverse audiences
Responsibilities;
- Lead the perception team in developing state-of-the-art computer vision, sensor fusion, and 3D understanding systems for robotic applications
- Define and execute the technical roadmap for perception capabilities, balancing near-term product needs with long-term innovation
- Sensor & compute selection, validation & integration
- Build, mentor, and grow a high-performing team of perception engineers, computer vision researchers, and ML engineers
- Drive the development of robust perception systems that handle real-world variability, edge cases, and challenging environmental conditions
- Collaborate closely with robotics, planning, controls, and ML teams to ensure seamless integration of perception into complete robotic systems
- Establish best practices for data collection, annotation, model training, evaluation, and deployment of perception models
- Partner with product and business teams to translate customer needs into technical requirements and deliverables
- Stay current with latest research and industry developments, identifying opportunities to leverage cutting-edge techniques
- Contribute to the broader technical strategy and culture of the organization
Nice to have;
- Experience in warehouse automation, logistics robotics, or industrial robotics
- Experience with foundation models and their application to robotics perception3D from multiview and multi-sensor including 3D reconstruction and semantic segmentation.
- Background in both classical computer vision techniques and modern deep learning approaches
- Track record of building teams and culture in fast-paced startup environments
- Experience with edge deployment and optimization of perception models
What we offer:
- Base pay between $200k and $230k, depending on your skills, qualifications and experience.
- Stock options and huge potential for growth.
- Medical, Dental, and Vision coverage.
- Flexible vacation and sick leave practices.
- Paid parental leave.
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