You're a seasoned engineer with a Master's degree and at least 3 years of experience, or a Bachelor's with 5+ years, bringing a strong background in Computer Sc
Work type: onsite
Location: US, CA, Santa Clara
Salary: $152,000 – $287,500/yr
Type: Full-time
You're a seasoned engineer with a Master's degree and at least 3 years of experience, or a Bachelor's with 5+ years, bringing a strong background in Computer Science or Engineering, and a deep understanding of C++ and multithreaded applications. **What makes it worth a look...** Join NVIDIA in Santa Clara, CA, for a full-time, on-site role where the base salary ranges from $152,000 to $287,500 annually, depending on the level, and you'll be eligible for equity and comprehensive benefits. **You might be a good fit if you...** * Have professional experience developing software for heterogeneous architectures, including GPUs. * Are proficient in CUDA and have experience with Linux and QNX. * Are skilled with version control systems like GIT and build systems such as CMake/Bazel. * Understand image processing APIs like OpenCV and MATLAB tools.
Intelligent machines powered by Artificial Intelligence computers that can learn, reason and interact with people are no longer science fiction. Today, a self-driving car powered by AI can meander through a country road at night and find its way. An AI-powered robot can learn motor skills through trial and error — this is truly an extraordinary time and the era of AI has begun. Image recognition and speech recognition — GPU Deep Learning has provided the foundation for machines to learn, perceive, reason and solve problems. The GPU started out as the engine for simulating human creativity, conjuring up the amazing virtual worlds of video games and Hollywood films. Now, NVIDIA's GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars that can perceive and understand the world. Just as human imagination and intelligence are linked, computer graphics and AI come together in our architecture. Two modes of the human brain, two modes of the GPU. This may explain why NVIDIA GPUs are used broadly for Deep Learning, and NVIDIA is increasingly known as "the AI computing company." Make the choice to join us today.
Our team builds NVIDIA's end-to-end autonomous driving application. We are seeking software engineers, who want to work "full stack" on crafting self-driving solutions on NVIDIA's multi-computer and heterogeneous hardware architectures. We are now looking for a Senior Integration Engineer, Autonomous Vehicle.
What you’ll be doing:
You will also be eligible for equity and [benefits](https://www.nvidia.com/en-us/benefits/).
Applications for this job will be accepted at least until April 17, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.