Silicon Performance, Power, and Binning Tools Engineer

1 Month ago • 3 Years + • Research & Development

Job Summary

Job Description

NVIDIA seeks a Silicon Performance, Power, and Binning Tools Engineer to develop infrastructure for product definition and specifications, design models and tools for automation and optimization, emulate silicon and system-level behavior, model next-generation product features, and find creative solutions to silicon and system-level problems. The role involves working with multi-functional teams across multiple departments to drive product initiatives from market requirements to production. Responsibilities include making critical trade-off decisions and collaborating with architects, designers, and developers to bring industry-defining products to market. The ideal candidate has 3+ years of experience in hardware/software, strong problem-solving and collaboration skills, and expertise in digital design, circuit analysis, algorithms, computer architecture, and software development.
Must have:
  • BS/MS in EE, CE, CS, or Systems Engineering
  • 3+ years relevant experience
  • Strong problem-solving & collaboration skills
  • Experience with Perl/Python, C/C++
  • Understanding of digital design, circuit analysis, algorithms
Good to have:
  • Experience with offshore teams
  • Experience with product binning methods
  • Experience with optimization techniques and data analysis

Job Details

NVIDIA's GPUs and SOCs are the world leaders in performance and efficiency, and we are continually innovating in creative and unique ways to improve our ability to deliver extraordinary solutions in a wide range of sectors. We seek Silicon Performance, Power and Binning Tools 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 are responsible for productizing NVIDIA's chips into groundbreaking consumer, professional, server, mobile, and automotive solutions.

What you will be doing:

  • Develop the infrastructure for product definition and specifications to help build and market the world’s fastest power-shipping products.

  • You will design models and tools to automate and optimize critical stages of the product design.

  • Emulate silicon and system-level behavior and encapsulation of dynamic methodologies to push products to their physical limits, while simultaneously remaining accurate and reliable.

  • You will model crucial next-generation product features and work with multi-functional teams to drive them to production.

  • Find creative solutions to sophisticated silicon and system-level problems to enable product shipment.

  • Drive new product initiatives across multiple departments in the company, translating market requirements along with new hardware and system features into infrastructure needs, tool implementations, and process flows.

  • Make critical trade-off decisions involving software features by analyzing the impact on products and company processes.

  • In a dynamic, high-energy work environment, we work alongside system architects, product definition engineers, chip and board designers, software/firmware developers, HW/SW applications engineers, and operations teams to bring industry-defining products to market.

What we need to see:

  • BS or MS in EE, CE, CS, or Systems Engineering (or equivalent experience)

  • 3+ years of experience in a related hardware/software position

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

  • Strong understanding of digital design, circuit analysis, algorithms, computer architecture, silicon speed and power, BIOS, drivers, and software applications

  • Experience with Perl/Python, C/C++, databases, and web applications

  • Strong fundamentals in software algorithms and object-oriented programming. Demonstrate ability to divide complex problems into simple sub-problems and reuse available solutions to solve a broad range of challenges efficiently

  • Experience with product binning methods, optimization techniques, methods, and tools for data analysis and statistics is a plus

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About The Company

Since its founding in 1993, NVIDIA (NASDAQ: NVDA) has been a pioneer in accelerated computing. The company’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined computer graphics, ignited the era of modern AI and is fueling the creation of the metaverse. NVIDIA is now a full-stack computing company with data-center-scale offerings that are reshaping industry.


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