Nvidia Senior Software Systems Engineer - Autonomous Vehicles 

United States, California 

154259770

What You’ll Be Doing:

• Develop and Implement Core AV Features: Design and implement foundational systems for autonomous driving by fusing state-of-the-art perception DNNs and HD map data, supporting both map-based and mapless driving.

• Build Modular, Scalable Software: Drive architectural improvements to modularize the software stack, establish clean interfaces, and enable extensibility and reuse across multiple product lines and OEMs.

• Drive Performance and Quality: Profile and tune system performance for multi-core, embedded, and safety-critical environments using C++ and GPGPU programming (CUDA).

• Writing safe embedded software code to run in real-time systems.

• Collaborate and Lead: Partner with global teams across software, systems, and hardware to define interfaces, improve integration velocity, and mentor engineers.

• Ensure Safety and Reliability: Develop algorithms and software that meet automotive quality and safety standards, with rigorous test coverage and documentation.

What We Need to See:

• Bachelor’s, Master’s, or PhD in Computer Science, Engineering, or related field (or equivalent experience).

• 7+ years of professional software development experience, including at least 2 years in autonomous vehicles, robotics, or embedded/automotive platforms.

• Strong expertise in C++ (and C), with hands-on experience in real-time, multithreaded, or performance-critical systems.

• Proven experience in software architecture, modular design, and framework/API development.

• Familiarity with GPGPU programming (CUDA) and runtime optimization.

• Experience working in Linux, QNX, or other embedded RTOS environments.

• Excellent communication and collaboration skills; ability to work across multidisciplinary teams.

• Passion for robotics, AI, and autonomous vehicles; eager to learn and solve impactful challenges.

Ways to Stand Out from the Crowd:

• Knowledge of 3D geometry, computer vision, sensor fusion, calibration, or state estimation (e.g., Kalman/particle filters).

• Industry experience with ADAS, mapping, localization, or real-time computer vision systems.

• Experience with API and framework design in large-scale, safety-critical automotive software environments.

• Familiarity with Git, Bazel, and modern development workflows.

• Technical leadership experience, including mentoring and growing engineering teams.