Role at a glance
- Salary
- $152K – $287.5K/yr
- Location
- Santa Clara, California, United States
- Work arrangement
- On-site
- Employment
- Full-time
- Experience
- 5+ years of professional experience working on autonomous vehicles software.
- Education
- BS or MS in Computer Engineering, Computer Science, or related engineering field (or equivalent experience).
Spotted an issue?
We’ll check it against the original posting.
Role Summary
The System Software Engineer will develop NVIDIA DriveWorks SDK components and platform and middleware software for autonomous driving platforms. The role supports sensor-based data collection and autonomous vehicle fleets across multi-computer and heterogeneous architectures, with emphasis on safety, scalability, and performance.
What You'll Do
- Design and develop core components of the NVIDIA DriveWorks SDK.
- Develop and optimize software architectures and frameworks for real-world performance and customer requirements.
- Work on sensor abstraction layers, data processing components, process scheduling, data serialization, network communications, and...
- Perform in-vehicle tests, collect data, and complete autonomous drive missions.
- Establish unit tests and feature documentation, evaluate quality, and propose corrective actions.
- Develop production C++ code using GPGPU programming with CUDA and follow MISRA and AUTOSAR quality and safety standards.
Generated from the employer's posting. Verify important details before applying.
View full postingQualifications
BS or MS in Computer Engineering, Computer Science, or a related engineering field, or equivalent experience; 5+ years of professional experience working on autonomous vehicles software; excellent C and C++ programming skills; strong programming and debugging knowledge for parallel and distributed architectures; proficiency with AI-powered coding tools; Linux, QNX, and/or other real-time operating systems; low-latency, highly performant code; communication and analytical skills.
Required
- BS or MS in Computer Engineering, Computer Science, or related engineering field (or equivalent experience)
- 5+ years of professional experience working on autonomous vehicles software
- Excellent C and C++ programming skills
- Programming and debugging techniques for parallel and distributed architectures
- AI-powered coding tools like Cursor, Copilot, Gemini, etc.
- Linux, QNX, and/or other real-time operating systems
- Low latency, highly performant code
- Communication and analytical skills
Preferred
- Data-parallel and/or GPGPU programming
- CUDA
- OpenCL
- Image processing APIs such as OpenCV
- MATLAB tools
- Automotive systems, notably ADAS applications
- Modern OpenGL (Core Profile) and Linux
- Version control systems GIT
Original job description
Content provided by the employer
Original job description
Content provided by the employer
The Autonomous Vehicles System Software Team is looking for a hands-on System Software Engineer. As part of our team, you will work on our Autonomous Driving Platform software, implementing performant and scalable solutions for data collections and autonomous vehicle fleets. Our team is responsible for developing platform and middleware features for self-driving cars. This includes software that interacts with various sensors including Cameras, LIDAR, RADAR, GPS, IMU, Vehicle CAN etc. We are seeking candidates with interests in inventing, developing, and maintaining application framework and tools on multi-computer and heterogeneous architectures. The role encompasses working with various teams across the stack, from platform and embedded software to cloud infrastructure, underpinned by safety and performance. It extends an opportunity to contribute to the technology that will drive the cars of the future!
What you will be doing:
Designing and developing core components of NVIDIA DriveWorks SDK.
Developing and optimizing software architecture and frameworks for real-world performance while matching or exceeding customer requirements.
Working on areas such as sensor abstraction layers, data processing components, process scheduling, data serialization, network communications, and frameworks.
Performing in-vehicle tests, collecting data and completing autonomous drive missions.
Establishing unit tests, documentation for features, evaluating quality and proposing corrective actions.
Developing highly efficient production code in C++, making use of high algorithmic parallelism offered by GPGPU programming (CUDA). Follow quality and safety standards such as defined by MISRA and AUTOSAR.
What we need to see:
BS or MS in Computer Engineering, Computer Science, or related engineering field (or equivalent experience).
5+ years of professional experience working on autonomous vehicles software.
Excellent C and C++ programming skills.
Strong knowledge of programming and debugging techniques, especially for parallel and distributed architectures.
Proficient with AI-powered coding tools like Cursor, Copilot, Gemini, etc.
Strong background of Linux, QNX, and/or other real-time operating systems.
Thrive on writing low latency, highly performant code.
Great communication and analytical skills.
Ways to stand out from the crowd:
Experience with data-parallel and/or GPGPU programming, CUDA, OpenCL.
Knowledge of image processing APIs (e.g. OpenCV) and MATLAB tools.
Knowledge of automotive systems, notably ADAS applications.
Software development for modern OpenGL (Core Profile) and Linux.
Experience with version control systems GIT and build system Bazel.
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.
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.