Silicon Product Definition Engineer

Posted 3 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka
3-5 Years Experience
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
Analyzing pre-production silicon chips in state-of-the-art process technologies, defining product specifications, collaborating with cross-functional teams, developing post-silicon methodologies, solving complex silicon and system level problems, and working with various teams to bring products to market.
Summary Generated by Built In

NVIDIA is seeking a highly motivated Hardware Engineer to join our dynamic and fast-paced Silicon Solutions Group! Artificial intelligence is changing the world significantly starting with the technologies used in our day to day lives, cars we drive, autonomous machines in agriculture farms & factories, smart cities and science & technology development activities. GPUs are providing spectacular speed ups to scientific and medical research, enabling the advancement of humanity like never before. There has never been a more exciting time to work in NVIDIA.

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. Silicon characterization, correlation to arch & design expectations, finalize product specifications, develop productization techniques and infrastructure around it is our day to day work. Dealing with challenges of the brand-new process node technologies is also included in the work profile.

What you will be doing:

  • As a product definition engineer for NVIDIA's family of chips and products, you will analyze pre-production silicon in state of the art process technologies for performance, power, yield, and quality to define the world’s fastest products.

  • Partner with cross functional teams to architect crucial next generation product features that are vital for performance, power optimization and power management.

  • Collaborate to craft tools for automating product definitions, data collection, test case execution, and results analysis.

  • Collaborate and build post-silicon methodologies to characterize silicon features, correlate silicon behavior with simulations, and provide design feedback.

  • Find creative solutions to complex silicon and system level problems and be on the frontline to lead show-stopper bugs, in order to enable product shipment.

  • Work alongside system architects, chip and board designers, software/firmware engineers, HW/SW applications engineers, process/reliability specialists, ATE engineers, product managers, sales, and operations in a dynamic & high-energy work environment to bring industry-defining products to market.

What we need to see:

  • BS with 4 years or MS with 2+ years of proven ability in the area of silicon characterization and productization

  • Excellent problem solving, collaborative, and interpersonal skills. Experience working with offshore teams preferred.

  • Hands-on experience with silicon bring-up, frequency and power characterization, Tester to System correlation, 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.

  • Background with power supply and substrate noise analysis and mitigation.

  • Exposure to digital design, circuit analysis, computer architecture, BIOS, drivers, and software applications.

With competitive salaries, generous benefits package and an outstanding culture, we are widely considered to be one of the technology world’s most desirable employers. 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.

Top Skills

C++
Matlab
Python
The Company
Bengaluru, Karnataka
21,960 Employees
On-site Workplace
Year Founded: 1993

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.”

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