At NVIDIA, we’re motivated by the continuous pursuit of innovation and excellence. As a Senior System Software Engineer, you’ll become a part of a top-tier team that’s advancing technology in AI, imaging solutions, and computing. Situated in Santa Clara, CA, you’ll be at the core of our ambitious projects, reshaping the future of computing. If you’re enthusiastic about groundbreaking technology and ready to make a substantial impact, this is the role for you!
We are now hiring a Systems Software Engineer for the Tegra Solutions Engineering team focusing on Camera, Multimedia and Graphics for the embedded platform architectures.
What you’ll be doing:
Work with product teams and deliver work class platform solutions
Collaborate with software engineers, hardware and arch teams to design, develop, validate and optimize software on NVIDIA's DRIVE self-driving platform
Directly engage with customers and partners to productize DRIVE platforms
Develop and maintain drivers in the camera framework to enable and bring-up camera sensors on automotive platforms
Familiarity with imaging pipeline, debug and support Image Quality evaluations
Optimize performance for various graphics and multimedia components in the driving platform stack
Engage directly with customers/partners to gather requirements, to develop and to optimize their exquisite products
What we need to see:
BS or MS in Computer Science, Computer Engineering or closely related field (or equivalent experience)
5+ years of hands-on experience in system software development. with 2+ years of experience on embedded systems, with focus on Imaging pipeline and/or Graphics pipeline
Strong programming knowledge in C, C++ and Python
Familiarity with source control systems (git, Perforce) and tools such as JAMA and JIRA
Knowledge of Camera Sensors, ISP, Image quality, Camera Calibration and interface components like CSI, Serializers/Deserializers
Good understanding of graphics fundamentals and GPUarchitecture.
Good understanding of Linux, Android, or Real-time operating systems
Experience working and interacting with customers
Ability to adapt to new technologies and platforms
Ways to stand out from the crowd:
Experience in Platform bring up and BSP Software
Experience working on GPU computing or computer vision
Background with AUTOSAR, Cert C/C++, or MISRA.
Experience with CUDA, TensorRT
Track record integrating and delivering functional and performant real-time and/or distributed systems
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing and Visualization. The GPU, our invention, serves as the visual cortex of modern computers and is at the heart of our products and services. Our work opens up new universes to explore, enables amazing creativity and discovery, and powers what were once science fiction inventions from artificial intelligence to autonomous cars. NVIDIA is looking for phenomenal people like you to help us accelerate the next wave of artificial intelligence. NVIDIA’s deep learning platform has already made a major impact to the field and is broadly used across leading academic institutions, start-ups, and industry, including the world’s largest Internet companies. We need passionate, hard-working and creative people to help us take on more of these challenging opportunities in Autonomous Driving.
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until March 16, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.
NVIDIA is committed to fostering a diverse 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.
