About the role
Join NVIDIA's Solution Engineering team that is changing the future of driving. Our goal is to build and deploy scalable solutions for autonomous vehicles and as a result, create safer and more efficient roads. Our team is hands-on, passionate about practical results, and values diversity. You will help craft the application software architecture by working closely with external partners developing on our platform and collaborate across multiple teams within NVIDIA working on autonomous vehicles. You will also advance and refine the overall drivability of our solution, focusing on integration challenges and using your deep analytical skills to tease through the complexity of the system to find effective solutions.
NVIDIA is widely considered to be one of the technology world’s most desirable employers, and is committed to fostering a diverse work environment and proud to be an equal opportunity employer. If you are passionate in bringing autonomous vehicles into the world and see the solution come together, we would like to hear from you!
What you'll be doing:
* Design, build, and deploy replay and simulation focused tooling and frameworks for current and next generation autonomous vehicle development and testing. * Closely engage with external customers to lead bring-up activities and provide domain expertise to resolve functional and simulation related issues by collaborating with internal engineering and product teams across our US, APAC, and Europe locations. * Integrate hardware and software components efficiently and build scalable software solutions for our partners. Conduct profiling, benchmarking and evaluation activities for verification. * Perform in-vehicle and simulation test drives, collect and perform deep analysis on the recorded data, and use aggregated metrics for simulation-to-real comparative analysis. * Directly impact the future of self-driving car technology!
What we need to see:
* 5+ years of work related experience in software development related to autonomous driving and/or simulation technologies and Bachelors or Masters in computer science, robotics, computer engineering, or equivalent experience. * Track record providing robust and efficient solutions for autonomous driving (in car or simulation). * Prior experience in application development and familiarity with middleware frameworks. * Excellent C/C++ development skills with good knowledge of Python. * Knowledgeable with various OS environments such as Linux and real-time operating systems and container-based virtualization workflows. * Ease of adapting to new technologies and platforms. * Ability to adapt to fast paced development lifecycles and multi-functional organizations. * Strong analytical skills, seek innovative solutions, with good attention to details.
Ways to stand out from the crowd:
* Experience with automotive design processes and norms (e.g. ISO 26262, ASPICE), including in-vehicle testing, simulation and metrics development of autonomous driving systems. * Proven expertise in developing simulation solutions and experience on diverse sensor modalities such as cameras, ultrasonics, and radar. * Understanding of NVIDIA DRIVE platform or NVIDIA GPU hardware, and/or familiarity with CUDA * In-vehicle networking: CAN, Flexray, Ethernet, Some/IP, AUTOSAR * Prior exposure to automotive or related sensors (camera, radar, LIDAR, ultrasonic, GPS, IMU)
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 12, 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.