NVIDIA has continuously reinvented itself over two decades. NVIDIA’s invention of the GPU in 1999 fueled 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.
This is our life’s work — to amplify human imagination and intelligence. NVIDIA Tegra platform is at the forefront of the computing revolution and providing powerful solutions for embedded and automotive markets. Now, we are now looking for a System Software Engineer in Automotive or Embedded field! You will work directly in developing or integrating NVIDIA software technologies into various NVIDIA Tegra platforms, including platform bring up, driver porting and integration, use case development, and problem solving. The candidate might work with the other team to provide deep technical assistance and also assist HW to achieve fully optimized design with NVIDIA products and provide HW feedback as to product features and software improvements.
What you’ll be doing:
Work directly in developing or integrating NVIDIA automotive or embedded software technology into various NVIDIA automotive or embedded platforms.
Create and implement software features.
Might work with customers to provide deep technical assistances.
Assist customers to achieve fully optimized design with NVIDIA products.
Provide partner feedback as to product features and software improvements.
What we need to see:
BS, MS, PhD in CS, CE, EE, Systems Engineering and 5 years of experience in a related software or hardware engineering position.
Good English language skills to work effectively with global teams.
Full experience at Linux.
Excellent knowledge with OpenGL, OpenGL ES, or Vulkan.
Experience working on GPU drive, GPU server with embedded systems and ARM processor specific.
Excellent C skills.
Familiarity with computer system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, embedded system, RTOS, etc).
Ways to stand out from the crowd:
Excellent complex system-level debugging and problem-solving skills.
Self-managing and ability to break down complex problems into manageable tasks.
Experience working in following areas is a plus: QNX, Android, device drivers, multimedia, OpenCV, CUDA, Deep Learning, or AI.
We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.
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What We Do
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, NVIDIA is increasingly known as “the AI computing company.”
