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 challenges that are hard to tackle, that only we can pursue, and that matter to the world. This is our life’s work, to amplify human inventiveness and intelligence. Make the choice to join us today.
NVIDIA silicon solutions group is seeking engineers to be part of a post silicon HW team. As a member of this team, you are responsible for developing and validating system level low power features with a deep understanding of products needs that will get delivered to notebook, desktop, embedded, automotive and professional solution markets. Prior experience in the lab with system level post silicon bring-up and debug is highly desired.
What you will be doing:
Bring up system level low power features to address existing and new product opportunities/requirements. Lead technical return-on-investment investigations, create/maintain feature bring-up plans for new silicon and participate in bring-up execution.
Lead debug efforts from HW side to root cause feature sequences bugs, silicon bugs and complex system level issues caused by interactions between multiple HW and SW features.
Craft creative solutions and WARs through lab experimentation and effective use of debug tools, to achieve high product quality at extremely aggressive schedules.
Support manufacturing and customer facing teams to expertly address production needs and issues on the relevant features.
Work closely and proactively with other engineering teams such as system power architects, chip and board designers, software/firmware engineers, HW/SW QA teams and Applications engineering teams to drive low power design, development, debug and release of next generations products.
What we need to see:
BS/MS (or equivalent experience) with 12+ years of proven ability in the area of silicon characterization and productization with focus on lower power system features.
Exposure to Windows, Linux based Low Power states and Silicon Power behavior, power analysis, process technologies, transistor/device physics, silicon reliability and aging mechanisms.
Strong EE fundamentals, knowledgeable in digital design, computer architecture, power analysis, timing analysis, fault analysis, sampling, statistics, and scripting
Hands-on validation lab experience with silicon bringup, lab debug and lab tools (oscilloscopes, multimeters, logic analyzers).
Experience with ASIC power saving features and methods
Deep understanding of firmware/driver structures and their interaction with HW.
Excellent problem solving, teamwork, and interpersonal skills.
Background with automation scripting in languages such as Perl, Python, tcl.
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 outstanding 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.
#LI-Hybrid
Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 196,000 USD - 310,500 USD for Level 5, and 232,000 USD - 368,000 USD for Level 6.You will also be eligible for equity and benefits.
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.”
