NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing.
More recently, GPU deep learning ignited modern AI the next era of computing with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world.
Today, we are increasingly known as the AI computing company. We're looking to grow our company, and build our teams with the smartest people in the world.
Join us at the forefront of the technological advancement. Are you dedicated, upbeat and multi-faceted with excellent analytical ability?
Are you a software engineer passionate and highly motivated about solving complex problems? If so, you may be a perfect fit for our group.
We are now hiring a Systems Software Engineer for the Tegra Solutions Engineering team focusing on Camera, Multimedia and Graphics for the self-driving platform architectures.
What you’ll be doing :
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)
3+ 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 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 :
Background with AUTOSAR, Cert C / C++, or MISRA.
Experience with CUDA, TensorRT. Background with Vulcan, OpenGL
Track record integrating and delivering functional and performant real-time and / or distributed systems
Background in computer vision and GPU computing. Background in inter process and inter thread applications
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.
The base salary range is 120,000 USD - 230,000 USD. Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.
You will also be eligible for equity and . NVIDIA accepts applications on an ongoing basis.
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.
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