As one of the technology industry's most desirable employers, NVIDIA is an industry leader in high-performance computing, gaming, and AI. NVIDIA's GPUs and SOCs are outstanding in performance and efficiency, and we are continually innovating in creative ways to deliver outstanding solutions in a wide range of sectors. We seek Product Definition Engineers who are passionate about what they do and committed to making a difference in the world through their inventions.
As part of the Silicon Solutions Team, we architect and deliver groundbreaking solutions for productizing NVIDIA's chips into consumer, professional, server, mobile, and automotive markets.
What you will be doing:
Analyze pre-production silicon in innovative process technologies for performance, power, yield, and quality to define groundbreaking products as a product definition engineer for NVIDIA's family of chips and products.
Architect crucial next-generation product features vital for performance, power optimization, and management techniques from feature definition to production, working with multi-functional teams.
Design tools to automate product definitions, binning, data collection, test case execution, and results analysis.
Build pre and post-silicon methodologies to characterize silicon features, correlate silicon behavior with simulations, and provide design feedback.
Find creative solutions to sophisticated silicon and system-level problems and be on the frontline to lead show-stopper bugs to enable product shipment.
Work alongside system architects, chip and board designers, software/firmware engineers, HW/SW applications engineering, process/reliability specialists, ATE engineers, product managers, sales, and operations in a multifaceted, high-energy work environment to bring industry-defining products to market.
What we need to see:
BS (or equivalent experience) with 8+ years or MS with 6+ years experience in EE, CE, CS, Systems Engineering, or similar and experience in a related hardware engineering position.
Excellent problem-solving, collaborative, and interpersonal skills. Experience working with offshore teams preferred.
Hands-on experience with silicon bringup, frequency and power characterization, Tester System correlation, and lab tools (oscilloscopes, multimeters, DAQ).
Deep understanding of product binning methods, optimization techniques, methods, trade-off analysis, and tools for data analysis and statistics.
Exposure to critical path analysis, power analysis, process technologies, transistor/device physics, silicon reliability, and aging mechanisms.
Familiarity with Perl, C/C++, tool and script development, Windows and Linux OS is a plus.
Background with power supply and substrate noise analysis and mitigation.
Exposure to digital design, circuit analysis, computer architecture, BIOS, drivers, and software applications.
NVIDIA is leading the way in groundbreaking developments in Artificial Intelligence, High-Performance Computing, and Visualization. Our invention, the GPU, 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 extraordinary people like you to help us accelerate the next wave of artificial intelligence.
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The base salary range is 168,000 USD - 310,500 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 benefits. NVIDIA accepts applications on an ongoing basis.
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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.”
