Join NVIDIA, a trailblazer at the forefront of graphics and artificial intelligence performance, efficiency, and innovation. From our roots as a groundbreaking graphic company, we have evolved into a global leader in artificial intelligence, continuously pushing the boundaries to tackle complex challenges across diverse industries.
NVIDIA Silicon Solutions Group is seeking a versatile Hardware engineer to be part of the SSG Prod - System Integration Team (SIT). The SSG team is uniquely positioned to have an end-to-end view of the product development cycle - from early arch definition through bringup to product release. Our Prod arm is a hub for all GPU & SOC - silicon and system-level feature bringup, debug, validation and productization. The sophisticated nature of various chip features poses many exciting debugging situations. Someone with solid understanding and innovative thinking is required for on time release of the products. As part of the Silicon Solutions Team, we are responsible for productizing NVIDIA's chips into groundbreaking consumer, professional, server, mobile, and automotive solutions.
What you will be doing:
Understand various HW/SW features related to clocks, DVFS, perf, power, performance, controllers, and circuits.
Productize and integrate system level features, controllers, power management & clocking techniques and policies to optimize product performance and power while meeting product release roadmap and timelines.
Lead system level feature design, productization, debug and deployment - to address functional, perf, power, and productization needs for NVIDIA's silicon designs.
Collaborate with ArchDev, ASIC, SW/FW, validation, and production teams throughout product life cycle; Develop bringup, validation, qualification, tuning, and productization plans.
Support silicon bring-up, validation and debug; Coordinate product level feature deployment/debug; Lead efforts and craft WARs/solutions to address customer, manufacturing, productization and bringup issues.
Responsible for the GPU and SoC system qualification including feature checks, system stress at PVT conditions and debug of issues affecting any unit of the chip or software.
Build supporting tools/script/infrastructure with relevant stakeholder teams.
Continuously optimize validation and productization processes and methodologies to improve overall quality and efficiency.
What we need to see:
BTech/BE or MTech/ME degree in Electronics or equivalent experience
5+ Years of experience in silicon bringup, system level design, validation, power/performance optimization and related areas.
Deep understanding of SW/firmware and HW/SW interaction; Hands-on lab experience with silicon bringup, lab debug and lab tools (oscilloscopes, multimeters, logic analyzers) is preferred.
Strong fundamentals in board and system design, digital design, DVFS, control systems, signal integrity, timing, clocking, power, noise, high-speed IO & buses and micro architecture.
Basic programming experience such as C/C++, Python, Perl in Windows/Linux environment.
Excellent problem solving, teamwork, and interpersonal skills.
Excellent data analysis and logical reasoning skills.
Must be a standout colleague and ready to work with global teams from diverse cultural backgrounds
Why NVIDIA? It’s not just technology, though! It is our people, some of the brightest in the world. At the center of NVIDIA's culture are our core values, like innovation, perfection, determination, and teamwork, that guide us to be the best we can be. We offer a dynamic work environment where your contributions will directly impact the company's success. We are an equal opportunity employer and value diversity at our company. We do not discriminate based on 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 crucial 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.”
