- 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!
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.