Senior System Software Engineer - AV Platform

NVIDIA Corporation; Santa Clara (CA); Hybrid; USD 184,000 - 288,000; Full time

Job summary

NVIDIA Corporation is seeking a Senior System Software Engineer for the Autonomous Vehicles Platform in Santa Clara, CA. You will design and optimize software architectures and write high-performance C++ code with CUDA, focusing on sensor drivers, data streaming, and vehicle interfaces.

Ideal candidates have 8+ years in multithreaded/distributed apps, Linux/RTOS background, and experience with cameras, LiDAR, GPS, and OpenGL. Equity and benefits accompany a competitive base salary.

Qualifications

• BS or MS in Computer Engineering, Computer Science or related field (or equivalent experience).
• Excellent C and C++ programming skills.
• 8+ years of proven experience developing and debugging multithreaded/distributed applications.
• Strong knowledge of parallel and distributed architectures.
• Background on Linux, Android, and/or other real-time operating systems.
• Experience with sensors such as cameras, LiDAR, radar, ultrasonics, IMU, GPS.
• Experience with vehicle control interfaces.
• Thrive on writing low latency, highly performant code.
• Great communication and analytical skills.

Responsibilities

• Design and optimize software architectures and frameworks for real-world performance.
• Develop high-efficiency product code in C++ using CUDA for GPGPU parallelism.
• Collaborate with vendors on the design and integration of sensors.
• Build sensor drivers, plug-ins, and core data processing components.
• Create highly optimized tools for sensor data recording, playback, and visualization.
• Partner with control and vehicle teams to build self-driving interfaces.
• Perform in-vehicle testing, collect field data, and analyze data integrity.
• Support comprehensive data collection campaigns across the autonomous vehicle program.

Skills

C/C++ programming

Multithreaded systems

Linux RTOS

Sensor interfaces

Communication skills

Education

BS/MS in CS/CE or related

Tools

CUDA

OpenCL

Git

CMake

OpenGL

Job description

The Autonomous Vehicles Platform team is now looking for a Senior System Software Engineer. Our team builds the NVIDIA DriveWorks SDK with the goal to provide a scalable software stack and framework to build autonomous vehicles. We are seeking software engineers with interest in designing, developing and maintaining many aspects of the core technology around sensor drivers and interfaces, data streaming, data recording and playback, and vehicle interface abstraction.

What you will be doing:

• Design and optimize software architectures and frameworks to deliver real-world performance that meets or exceeds customer specifications.
• Develop high-efficiency product code in C++ using CUDA for GPGPU algorithmic parallelism, adhering to MISRA safety and quality standards.
• Collaborate with vendors on the design and integration of innovative vehicular sensors.
• Build sensor drivers, plug-ins, and core data processing components.
• Create highly optimized tools for sensor data recording, playback, and visualization.
• Partner with control and vehicle teams to build self-driving interfaces.
• Perform in-vehicle testing, collect field data, and analyze data integrity.
• Support comprehensive data collection campaigns across the autonomous vehicle program.

What we need to see:

• BS or MS degree in Computer Engineering, Computer Science or related field (or equivalent experience).
• Excellent C and C++ programming skills.
• 8+ years of proven experience developing and debugging multithreaded/distributed applications like multimedia systems, game engines, etc.
• Strong knowledge of programming and debugging techniques, especially for parallel and distributed architectures.
• Background on Linux, Android, and/or other real-time operating systems.
• Experience with sensors such as cameras, LiDAR, radar, ultrasonics, IMU, GPS.
• Experience with vehicle control interfaces.
• Thrive on writing low latency, highly performant code.
• Great communication and analytical skills.

Ways to stand out from the crowd:

• Understanding of embedded architectures.
• Experience with data-parallel and/or GPGPU programming, CUDA, and OpenCL.
• Software development for modern OpenGL (Core Profile) and Linux.
• Experience with version control systems, GIT and build system CMake.

#AutonomousVehicles

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until September 2, 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. NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.