- Identify and prioritize high-impact opportunities to apply AI/ML to chip design and verification workflows, spanning RTL-to-GDS, signoff, debug, and regression
- Build and maintain data pipelines to extract, normalize, and analyze signals from EDA tool logs, reports, run artifacts, and design metadata (e.g., timing reports, violations, coverage, failures)
- Develop ML models, heuristics, and analytics to improve efficiency and quality in areas such as STA, DRC/LVS, ECO optimization, and debug acceleration
- Integrate AI solutions into existing CAD infrastructure, including automation systems, regression frameworks, job schedulers, and design databases
- Collaborate with EDA vendors as needed for tool enablement, feature requests, debugging, and evaluation of vendor solutions versus internal implementations
- BS or MS in Electrical Engineering, Computer Science, or equivalent industry experience
- 2+ years of experience in CAD/EDA flow engineering, design automation, or a related semiconductor workflow role
- Strong programming skills, with Python required; experience with shell, Tcl, or Perl as needed
- Hands-on experience applying machine learning to real-world engineering problems
- Solid understanding of at least one major EDA workflow domain (e.g., place & route, physical layout, DRC/LVS, STA, power, CDC, DFT, simulation/regressions)
- Experience working with large-scale, noisy operational data (EDA logs and reports) and building robust automation around it
Skills Required
- BS or MS in Electrical Engineering, Computer Science, or equivalent industry experience
- 2+ years of experience in CAD/EDA flow engineering, design automation, or a related semiconductor workflow role
- Strong programming skills with Python
- Experience with shell, Tcl, or Perl
- Hands-on experience applying machine learning to real-world engineering problems
- Solid understanding of at least one major EDA workflow domain, such as place and route, physical layout, DRC/LVS, STA, power, CDC, DFT, or simulation/regressions
- Experience with large-scale, noisy operational data, including EDA logs and reports, and robust automation
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
