Senior SRAM Circuit Design Engineer

Posted 5 Hours Ago
Be an Early Applicant
Bengaluru, Bengaluru Urban, Karnataka
Senior level
Artificial Intelligence • Computer Vision • Hardware • Robotics • Metaverse
The Role
As a Senior SRAM Circuit Design Engineer, you will design and optimize custom SRAM circuits and multi-port register files for performance-critical IPs in cutting-edge technology processes, ensuring design specifications are met through thorough verification and testing.
Summary Generated by Built In

We are now looking for a Senior Circuit Design Engineer for our team! This is your chance to be a part of an excellent memory design team which needs good circuit designer like you. Team believes in enabling the right talent to achieve world class design that go into ground breaking solutions from NVIDIA!
What You'll Be Doing:

  • Full custom circuit design involving memory arrays like multi-port register files, SRAMs, and/or caches, for performance critical IPs like CPUs/GPUs

  • Design cutting-edge SRAM circuits using state-of-the-art technology processes

  • Optimize circuits for performance, area, and power

  • You will have to perform transistor level circuit and logic design, spice verification, schematic entry and coordination with layout team

  • Ability to understand architectural specifications and develop custom SRAM circuits which meet stringent performance, area and power requirements

  • Ability to close design to the specs by running various flows like EM, IR, Noise, static timing analysis

  • Develop state of the art flows for timing, EM/IR or other verification needs

  • Develop variation tolerant circuits in advanced technologies like 7nm and below

  • Improve/develop flows, methodologies and automation to accelerate various design closure, data collection, and analysis, further ensure working silicon

What We Need To See:

  • You would need to have sound fundamentals in CMOS devices, basics of VLSI design and really good timing concepts involving dynamic and sequential circuits

  • Prior experience is required with Cadence virtuoso environment, hspice simulations and transistor level design or design-optimization

  • Proficiency in Perl/Python or equivalent scripting language is a plus

  • Prior exposure to some form of memory design (like SRAMs or register files) will be a huge advantage

  • Experience in advanced technology nodes like 7/5 nanometers is a huge plus

  • Good interpersonal skills, should be an excellent teammate

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

  • 5+ yrs of experience

With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking minds in the world working for us and, due to unprecedented growth, our engineering teams are rapidly growing. If you're a creative and aspiring engineer with a real passion for technology, we want to hear from you.

NVIDIA has continuously reinvented itself over two decades. Our 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. NVIDIA is a “learning machine” that constantly evolves by adapting to new opportunities that are hard to solve, that only we can take on, and that matter to the world. This is our life’s work, to amplify human imagination and intelligence. Make the choice, join our diverse team today!

Top Skills

Python
The Company
HQ: Santa Clara, CA
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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