We are a stealth startup building perception systems for autonomy. We are based in the San Francisco Bay Area, funded by NEA, and our core team includes faculty entrepreneurs (Stanford and UC Santa Barbara) and industry veterans (Uber, Apple, Amazon Lab126, Rohde & Schwarz), who have successfully shepherded signal processing and machine learning innovations to large-scale software for location improvement and safety at Uber, led the development of state-of-the-art computer vision technologies that shipped over millions of Amazon devices, and delivered zero-to-one product experiences at Uber and Box. Our core product grew out of 5+ years of university R&D by our co-founders. You can find out more about us by visiting our website.
Our mission and team expertise spans beyond software to advanced sensor systems, algorithms, embedded systems, signal processing, and machine learning. Our team is building and deploying edge software and cloud services for real-time customer facing products as well as internal big data tools. We look for people with a depth of expertise and experience in one of these areas, and with the intellectual curiosity for interacting with, learning from, and teaching world-class experts in areas outside their expertise.
We currently have an exciting opportunity in the area of camera systems engineering in San Carlos, CA. You will join a multi-disciplinary group of scientists and engineers and will have the opportunity to collaborate with cross-functional product and research teams. An ideal candidate will have a proven track record of driving zero-to-one innovation for large-scale system projects.
Responsibilities
- Lead deliveries for camera systems and ISP throughout the product lifecycle - from specification, definition, and selection, through development, quality tuning, and evaluation.
- Communicate and collaborate with external vendors and cross-functional teams to ship high quality image quality
- Work closely with product management, architects, hardware and software engineers to solve complex technical challenges and deliver high-quality products.
- Define, contribute to, and follow detailed technical requirements and metrics for quality and testing.
- Own system architecture and development of new features for camera systems
- Act as a subject matter expert (SME) on all things camera sensor related
- Investigate, prototype, characterize, and deliver new and innovative system solutions
- Setup test bench and lab environments to characterize and test new sensor technologies (RGB, RGB-IR, Mono, Global shutter, and depth sensing sensors)
- Participate in design reviews
- Work with new technologies that are vital to product development
- Deliver investigation plans and reports, architectural documents and design specs
- Perform tasks including debug, bring-up, as well as Beta and production software development
Basic Qualifications
- Have an in-depth understanding of imaging science, digital imaging systems and performance evaluation.
- Experience with ISP architecture(s)
- Experience with C/C++ or Python or Matlab
- Experience working on quality tuning, evaluation and management for imaging , digital cameras or other imaging systems.
- Excellent skills in verbal and written communication (incl. technical documentation), problem solving, and analytical thinking
- Masters or PhD in a technical discipline (Mathematics, Physics, Computer Science, Imaging science, Science, Engineering)
- Experience with imaging testing lab management and test setup and implementation.
- Experience in development lifecycle
- Knowledge in any related areas:
- Camera 3A algorithms
- Android Camera HAL, kernel drivers, V4L2, Gstreamer and UVC
- MIPI, I2C, SPI and LVDS interfaces
- CMOS sensors and actuators
- Computer vision and/or machine learning
- CUDA, OpenCL, OpenCV
- Camera calibration
- Ability to handle multiple competing priorities in a fast-paced environment.
Preferred Qualifications
- Prior experience working with ODM and remote IQ tuning vendors.
- 3 to 5 years of experience with product development and support.
Cultural Fit
- Ability to work in a small and fast-paced environment.
- A positive attitude, team-oriented spirit, and enthusiasm for our goals.
- A curious outlook - willingness to learn new things and solutions to fit the problem.
- A strong sense of ownership and passion for completing a job well - attention to detail.
- Ability to work well with all levels of company regardless of seniority.
- Sense of humor and ability to proactively problem solve.