- 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 other objective job-related factors. The expected base salary ranges for this position are: 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 November 3, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.