What we need to see
A Master's degree or equivalent experience in Electrical Engineering, Computer Science, or a related field
10+ years of proven experience in ISP architecture and imaging science for automotive, robotics, surveillance, and consumer cameras
Strong foundation in human- and machine-centric image quality assessment and algorithm complexity analysis
Proficiency in C/C++, MATLAB, Python, DL framework (PyTorch, TensorFlow)
Excellent communication skills for productive personal interactions as well as for effective documentation and presentation
Ways to stand out from the crowd
Ph.D. in relevant field or equivalent experience
Deep expertise in image science covering optics, HDR image sensors, and color/tone management
Experience in developing and successfully deploying deep learning-based ISP technologies in real-time camera systems
Knowledge of industry standards and benchmarks for consumer, automotive, and medical imaging systems
Track record in building a culture of imaging excellence based on first principles and attention to detail through mentorship, teaching, and personal examples
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world doing lifeworks for us. Do you love the challenge of crafting the smartest, fastest, and most efficient ISP solutions? If so, we want to hear from you!
#LI-Hybrind
- Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary ranges for this position are:
- 184,000 USD – 287,500 USD for Level 4; and 224,000 USD – 356,500 USD for Level 5.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
