Imaging Algorithms & Firmware Engineer

Indie Semiconductor • San Jose, CA

1d

About The Position

Imagine being part of a team that’s redefining the future of mobility—where your ideas don’t just sit in a lab but power next-generation technology. At indie, we are developing cutting-edge semiconductors, photonics, and radar sensors and systems for automotive, industrial, and adjacent markets. Our innovations are at the heart of advanced intelligent sensing and user experience applications, pushing the boundaries of what’s possible. If you're passionate about groundbreaking technology and want to make a real impact alongside a fast-paced team that thrives on creativity and collaboration, we’d love to have you on board!

Requirements

• Bachelor’s degree + 3 years of experience; or Master’s + 2 years; or Ph.D. + 1 year.
• Degree in Electrical/Electronics Engineering, Computer Engineering/Science, Mechanical/Mechatronics, or Imaging Science, with emphasis on signal/image processing or control systems.
• Strong programming skills in C (required); familiarity with C++ , MATLAB , and Python (preferred).
• Professional, hands-on experience implementing embedded firmware solutions with real-time constraints in image processing or a related field.
• Strong data-driven mindset, scientific approach, and hands-on experimental abilities.

Nice To Haves

• Experience delivering ISP pipeline solutions for automotive, mobile, consumer, industrial, or medical products is highly desirable.

Responsibilities

• Design, develop, verify, and optimize real-time ISP algorithms—including auto-exposure, auto-white-balance, and auto-flicker-detection—on indie’s Vision ICs.
• Implement and deploy real-time control firmware for ISP pipeline blocks such as image enhancement, noise reduction, high dynamic range, and related image processing functions.
• Improve indie’s embedded software through ongoing collaboration with the Image Quality, Camera Host Tools, and Vision Embedded Software teams.
• Support research and development of next-generation sensor fusion and machine learning solutions.
• Work with the Vision Platform Engineering team to support image sensor driver development, maintenance, and performance optimization across various camera modules and target applications.
• Provide guidance and support to the Image Quality and Application Engineering teams to enable successful customer productization of indie’s ISPs for human and machine vision applications.
• Develop and maintain training materials and documentation for Applications Engineers and customers.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level