NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities which are hard to tackle, which only we can pursue, and which matter to the world. This is our life’s work: to amplify human inventiveness and intelligence. Make the choice to join us today.
NVIDIA develops outstanding solutions in the automotive, embedded and mobile spaces through its low-power high-performance Tegra System On Chips. In the key role of a System Architect in the Architecture team, the candidate will be responsible for invention, research and development of state of the art solutions.
What you'll be doing:
The profile includes definition and specification of System on Chip Hardware architecture, third-party IP integration architecture, system memory and processor performance evaluation, architecture validation and use-case analysis towards meeting the requirements of various products. Experience in C-Modelling is a plus. The role includes defining the architecture and delivering the specifications of various HW components in addition building/debugging/maintaining their architecture models. The candidate shall be required to work with multiple multi-functional teams in the organization including but not limited to ASIC design, SW, product/marketing, VLSI backend and circuit/operations.
What we need to see:
-
You have a Bachelors in Electrical Engineering or Computer Science (Masters degree or higher preferred).
-
3+ years of experience.
-
Processor architecture, system bus architecture, ARM processor-based architecture fundamentals, PCIe/AXI bus protocols, overall SOC architecture with strong fundamentals is a strong plus.
-
Strong analytical skills and aptitude
-
Strong C-modelling skills
-
Excellent communication/articulation skills and ability to work as a great teammate across multi-geographical teams
NVIDIA is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.
Top Skills
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.”
.jpeg){kind=icon}
