Role at a glance
- Salary
- Not Disclosed
- 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 like multimedia systems, game engines, etc.
- Education
- BS or MS degree in Computer Engineering, Computer Science or related field (or equivalent experience).
Spotted an issue?
We’ll check it against the original posting.
Qualifications
Requires a BS or MS in Computer Engineering, Computer Science, or a related field, or equivalent experience; 8+ years developing and debugging multithreaded or distributed applications; strong C and C++ skills; knowledge of programming and debugging for parallel and distributed architectures; a background in Linux, Android, or other real-time operating systems; experience with sensors and vehicle control interfaces; and strong communication and analytical skills.
Required
- Excellent C and C++ programming skills.
- 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.
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.
About the role
Original posting provided by NVIDIA
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.
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.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.