Camera Hardware Engineer, Robot Head
About The Position
The Vision Hardware team develops the imaging systems that enable NEO to perceive and understand the world. We design, integrate, validate, and optimize camera modules that provide high-quality visual data for perception, navigation, manipulation, and human interaction. Working closely with Computer Vision, Machine Learning, Electrical Engineering, Mechanical Engineering, and Manufacturing teams, you'll help deliver robust camera systems that perform reliably across millions of operating hours in real-world environments. Develop and validate the vision hardware that powers NEO's perception. You will own camera module validation from early prototype bring-up through qualification and mass production. Your work will establish objective image quality standards, define validation methodologies, and ensure camera systems consistently meet demanding performance, reliability, and manufacturing requirements.
Requirements
- Bachelor's degree in Computer Engineering, Electrical Engineering, or a related engineering discipline
- 3+ years of experience developing, validating, or characterizing camera and imaging systems
- Deep understanding of camera technologies including image sensors, optics, lenses, image signal processors (ISP), and complete imaging pipelines
- Working knowledge of the electrical and mechanical integration of camera modules
- Experience programming with Python and C/C++
- Proficiency working in Linux environments
- Experience using image quality evaluation tools such as Imatest, Image Engineering, MATLAB, or equivalent
- Strong troubleshooting, analytical, and problem-solving skills
- Ability to work full-time onsite in San Carlos, CA
Nice To Haves
- Experience developing stereo vision or multi-camera systems
- Experience validating and calibrating imaging systems for high-volume consumer electronics or robotics products
- Familiarity with camera manufacturing, production testing, and calibration workflows
- Experience working with computer vision and machine learning frameworks
- Experience collaborating directly with optical, sensor, and camera module suppliers
- Familiarity with production quality methodologies including qualification testing, statistical analysis, and manufacturing process validation
Responsibilities
- Define and execute comprehensive validation strategies for camera modules, image sensors, and complete vision systems
- Characterize optical, electrical, and system-level camera performance across robotic operating conditions
- Develop image quality specifications, validation methodologies, and objective performance metrics
- Design calibration procedures and manufacturing test processes for high-volume production
- Lead camera hardware bring-up from prototype through production qualification
- Partner with Computer Vision, Machine Learning, Electrical Engineering, and Mechanical Engineering teams to optimize complete imaging system performance
- Collaborate with suppliers to ensure camera modules consistently meet design, quality, and manufacturing requirements
Benefits
- Comprehensive medical, dental, and vision coverage
- Generous paid time off, company holidays, and parental leave
- 401(k) plan with company match (100% on the first 3% of contributions, 50% on the next 2%)
- Flexible Spending Accounts (FSA) and Health Savings Accounts (HSA) options
- Commuter benefits (transit and parking)
- Short-term and long-term disability, and life insurance
- Employee Assistance Program (EAP) for mental health, financial, and personal support
- Onsite snacks and catered lunches
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
