Senior Circuit Design Engineer

Reposted 5 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka
In-Office
30K-120K Annually
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Senior Circuit Design Engineer, you will craft and validate circuit IPs, improve chip performance, and mentor junior engineers.
Summary Generated by Built In

NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs excel. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can address, and that matter to the world. This is our life’s work , to amplify human creativity and intelligence. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join our diverse team and see how you can make a lasting impact on the world!

We are now looking for a Senior Circuit Design Engineer! NVIDIA has continuously reinvented itself. Our invention of the GPU sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionised parallel computing. Today, research in artificial intelligence is booming worldwide, which calls for highly scalable and massively parallel computation horsepower that NVIDIA GPUs, CPUs and network chip excel.

What you'll be doing:

  • Be part of a hardworking, talented, multi-functional Circuit and digital IP Team, crafting and delivering groundbreaking IPs involving SRAM, Analog and/or Digital sensor circuits and test structures.

  • Be involved in building and validations of Custom Circuit IPs to improve the power, performance, silicon correlation and security of NVIDIA CPU, GPU and Networking chips

  • Work on architecting innovative circuit solutions and methodologies which monitor/measure on-chip silicon performance parameters and close the gap to pre-silicon estimations for logic and RAMs

  • Understanding of existing circuit methodologies for logic/RAMs and suggest improvements. Develop work flows for chip design, get relevant data from large data set using AI and ML.

  • This role includes interacting with several global teams across geographies, understanding various methodologies and improving silicon correlation of logic and RAM circuits.

  • Be a mentor/technical lead for junior team members.

What we need to see:

  • Have sound fundamentals of CMOS devices, RC circuits, transistor level circuit design, timing concepts involving dynamic and sequential circuits.

  • Hands-on experience in SRAM/Custom circuit design involving SPICE simulations, statistical and process variation/aging/noise analysis.

  • Knowledge of STA, physical design and Silicon debug is a huge plus.

  • Ability to close design to the specs by running and developing various flows like EM, IR, Noise, and static timing analysis (STA)

  • Proficient in Perl/Python, AI tools and handing of large data sets is a huge advantage.

  • Good interpersonal skills, collaborative, should be an excellent teammate.

  • BE/M-Tech in Electrical & Electronics or equivalent experience.

  • 3+ years of experience.

With competitive salaries and a generous benefits package, NVIDIA is widely considered to be one of the technology world’s most desirable employers. We welcome you join our team with some of the most hard-working people in the world working together to promote rapid growth. Are you passionate about becoming a part of a best-in-class team supporting the latest in GPU and AI technology?

#LI-Hybrid

Top Skills

AI
Cmos
Ml
Perl
Python
Rc Circuits
Spice
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The Company
HQ: Santa Clara, CA
21,960 Employees
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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