NVIDIA

NVIDIA

Posted via Workday

Senior System Software Engineer - AV Platform

Posted Aug 5, 2026

Role at a glance

Salary
$184K – $287.5K/yr
Location
Santa Clara, California, United States
Work arrangement
On-site
Employment
Full-time
Experience
8+ years of proven experience developing and debugging multithreaded/distributed applications
Education
BS or MS degree in Computer Engineering, Computer Science or related field (or equivalent experience).

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Role Summary

AI-generated

The Senior System Software Engineer will join NVIDIA’s Autonomous Vehicles Platform team, which builds the DriveWorks SDK as a scalable software stack and framework for autonomous vehicles. The role focuses on core technology for sensor drivers and interfaces, data streaming, recording and playback, and vehicle interface abstraction.

What You'll Do

  • Design and optimize software architectures and frameworks to meet customer specifications
  • Develop high-efficiency C++ product code using CUDA for GPGPU algorithmic parallelism
  • Collaborate with vendors on the design and integration of vehicular sensors
  • Build sensor drivers, plug-ins, and core data processing components
  • Create optimized tools for sensor data recording, playback, and visualization
  • Perform in-vehicle testing, collect field data, and analyze data integrity

Generated from the employer's posting. Verify important details before applying.

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Qualifications

BS or MS degree in Computer Engineering, Computer Science or related field, or equivalent experience; excellent C and C++ programming skills; 8+ years developing and debugging multithreaded or distributed applications; knowledge of parallel and distributed architectures; experience with Linux, Android, or other real-time operating systems; sensor and vehicle control interface experience; low-latency, high-performance coding; communication and analytical skills.

Required

  • 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
  • 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

Preferred

  • 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

Original job description

Content provided by the employer

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.

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 July 21, 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

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.