Senior Speed and Reliability ArchDev Engineer

Posted 16 Days Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka
5-7 Years Experience
Artificial Intelligence • Hardware • Robotics • Software • Metaverse
The Role
As a Senior Speed and Reliability ArchDev Engineer at NVIDIA, you will architect and craft new features related to speed, timing, and reliability for various markets. You will collaborate with teams to bring industry-defining products to market and provide guidance on feature roadmap for all NVIDIA products.
Summary Generated by Built In

NVIDIA is the industry leader in high-performance computing, gaming and AI. Our GPUs and SOCs give outstanding performance and efficiency, revolutionizing myriad fields like cell research, robotics, crypto mining and so many more. We revolutionized the AI world by inventing CUDA. And we are just getting started. Silicon Solutions Group (SSG) is a multifaceted, multi-functional team at NVIDIA. We sit at the crossroads of design, architecture, marketing and productization. Our involvement begins at the arch stage and extends to defining final products. We architect and deliver innovative solutions for various markets like Gaming, data centers, Servers, Automotive and Embedded. We are fast-paced, dynamic, share a sense of humor, and collaborate extensively to push the boundaries of what is possible. We do all of this with an eye on making ground-breaking impacts in the markets we serve. If this sounds like something you want to do, read on. In the role of Speed and Reliability ArchDev engineer, you will be architecting and crafting new features related to Speed, Timing, and Reliability from the ground up as you help turbocharge NVIDIA's chips into groundbreaking consumer, professional, server, mobile, and automotive solutions.

What you will be doing:

  • Creating new features and methodologies for Nvidia products targeted for data center, consumer, and automotive markets spanning broad areas, including chip HW features as well as system features

  • Create system architecture plans on how the feature fits in the overall landscape, its cross-interaction with other system features, provide benefit trade-offs, and drive to POR cross-functionally.

  • Develop methodologies for structural to functional vector correlation, structural vector based screens and prototype these on existing silicon via in-house tools

  • Prototype and fine-tune these on pre-production silicon (including test chips) fabricated using innovative processes for speed, performance, power, yield and quality.

  • Provide guidance to silicon facing teams on how to take the feature to productization, including hands-on bringup for feature validation.

  • Collate takeaways from silicon and correlate to design. Provide feedback to improve the feature in the future, thus being responsible for the feature roadmap for all Nvidia products.

  • Collaborating with the best minds in NVIDIA across various teams (System Architecture, PDE, Application Engineering, Product Manager, Sales, Operations) in a dynamic, creative work environment to bring industry-defining products to market.

What we need to see:

  • MS/Mtech/Btech in EE, CE, Systems Engineering or equivalent experience with 5+ years of experience in a related hardware engineering position.

  • Previous engineering experience in architecting Perf/Power/Speed/Reliability features in CPUs/GPUs/SOCs. Experience spanning from concept all the way to product desirable.

  • Familiarity with STA timing closure, circuit design, noise characterization, product binning methods and/or performance/power optimization techniques.

Ways to stand out from the crowd:

  • Familiarity with statistical methods and tools for data analysis

  • Familiarity with substrate and power supply noise analysis and mitigation

  • A "go-getter, can get it done" attitude and independent 'out-of-box' thinking.

NVIDIA is widely considered to be one of the technology world’s most desirable employers. If you're creative and ambitious, we want to hear from you!

Top Skills

C++
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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