Sr. Staff Image Scientist

Posted Yesterday
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Santa Clara, CA, USA
In-Office
170K-200K Annually
Senior level
Semiconductor • Manufacturing
The Role
Researches and develops image, color-processing, and computer-vision algorithms for digital camera systems. Expands ISP and computer-vision functionality, quality, and performance; supports hardware implementation and validation; tunes and measures image quality; and documents algorithms. Requires advanced electrical engineering or computer science education, 10+ years of experience, camera ISP or computer-vision expertise, knowledge of colorimetry and image sensing, and strong C/C++ and MATLAB skills.
Summary Generated by Built In
 
Responsibilities:
  • Research new image and color processing or computer vision techniques and technologies for digital camera systems
  • Design and develop new algorithms for image and color processing or computer vision
  • Expand our ISP or CV solution to new levels of functionality, quality, and performance
  • Assist the hardware design team with algorithm implementation and validation
  • Image quality tuning and measure
  • Algorithm documentation 
Qualifications:
  • MS/PhD in Electrical Engineering or Computer Science with 10+ yrs of experience.
  • Familiar with camera ISP algorithm and pipeline or computer vision algorithms
  • A solid working understanding of colorimetry and image sensing technology
  • Hands on experience with mobile cameras a plus
  • Strong C/C++ and MATLAB programming skills
  • Organizational skills, computer skills, writing and researching skills
 
Annual base salary for this role in California, US is expected to be between  $170,000 - $200,000. Actual pay will be determined on a number of factors such as relevant skills and experience, and the pay of employees in the similar role.  
 
EOE/Minorities/Females/Vet/Disability 

Skills Required

  • MS or PhD in Electrical Engineering or Computer Science
  • 10+ years of professional experience
  • Familiarity with camera ISP algorithms and pipelines or computer vision algorithms
  • Working understanding of colorimetry and image sensing technology
  • Strong C and C++ programming skills
  • Strong MATLAB programming skills
  • Organizational, computer, writing, and researching skills
  • Hands-on experience with mobile cameras
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The Company
HQ: Santa Clara, California
1,448 Employees
Year Founded: 1985

What We Do

Founded in 1995, OMNIVISION has been at the leading-edge of technology, developing and delivering advanced digital imaging, analog, and touch & display solutions for multiple applications across several industries. With more than 3,000 employees worldwide and over 13 billion products shipped, OMNIVISION is a well-known global fabless semiconductor company. Our products can be found everywhere in people’s lives including mobile phones, security & surveillance, automotive, computing, medical, and emerging applications. Across these segments, OMNIVISION’S award-winning technology enables a smoother human/machine interface in many of today’s commercial devices. In this way, OMNIVISION delivers solutions that put its customers at the leading edge of technology. Whether it be developing the first mobile handset camera accessory in 2002, introducing the world’s smallest NTS camera in 2006 or launching PureCel CMOS image sensors in 2013, our dedication to providing reliable, innovative imaging and sensing solutions continue to be the primary aim. The company has recorded numerous industry firsts in its relentless quest for technology breakthroughs that deliver #InfiniteIngenuity: • Guinness World Record for the World's Smallest Commercially Available Image Sensor (OV6948) in 2019. In 2021, it beat its own record with the new OH0TA OVMed® • First to commercialize backside illumination technology in 2007 (OmniBSI™) • Industry's 1st to deploy the most mature LED Flicker Mitigation (LFM) solution in mass production for multiple automotive applications • Automotive industry leader with HALE, our HDR & LFM Engine combination algorithm • Developer of Nyxel® near-infrared technology with by far the best quantum efficiency in CMOS near-infrared imagine • Creator of CameraCubeChip™, the industry’s 1st wafer-level camera modules • First and only global shutter image sensors with cybersecurity, for ADAS and autonomous vehicles • First to introduce RBG-Ir technology to medical

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