Full-Time

Senior SRAM Circuit Design Engineer

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

No salary listed

Senior

Bengaluru, Karnataka, India

Hybrid

Category
Electronics Design Engineering
Electrical Engineering
Required Skills
Python
Requirements
  • BSEE minimum (or equivalent experience), MSEE or PhD preferred
  • 3+ years of SRAM design experience with a strong background in digital circuit design, layout, and validation on advanced FinFET processes
  • Prior design experience in single-port, dual-port, or register file SRAM-based macros required, including complex circuits like self-timed logic and sense-amplifiers
  • Python scripting ability to parse data and automate tasks
  • Successful track record of delivering designs to production
Responsibilities
  • Embedded SRAM design: Transistor-level circuit design, supervising layout implementation, physical and logical verification, and debug of SRAM macros.
  • SRAM compiler development: Envisioning, defining, and coding more efficient ways to automate the simultaneous assembly and validation of multiple unique SRAM macros using NVIDIA's extensive compute resources.
  • Advanced development: Exploring the potential of future process nodes and developing techniques to achieve optimal power, performance, and area characteristics.
  • Guiding SOC design, silicon test, and productization efforts: Collaborate with SOC design partners to help them achieve their overall performance and cost goals, guide the silicon test and characterization efforts, and working with productization teams to prepare new silicon for the demanding requirements of real-world applications.
Desired Qualifications
  • Self-motivation, attention to detail, and good written, verbal, and presentation skills are needed to success in this role
  • A high degree of scripting expertise in Python
  • Familiarity with Cadence schematic and layout capture tools
  • Silicon testing/debug experience

NVIDIA designs and manufactures graphics processing units (GPUs) and system on a chip units (SoCs) for various markets, including gaming, professional visualization, data centers, and automotive. Their main products are GPUs that enhance gaming experiences and support professional applications, along with AI and high-performance computing platforms for developers and data scientists. NVIDIA stands out from competitors by offering a combination of hardware and software solutions, including cloud-based services like NVIDIA CloudXR and NGC, which enable scalable applications in AI and machine learning. The company's goal is to drive innovation in technology and provide advanced solutions that cater to a wide range of clients, from gamers to enterprises.

Company Size

10,001+

Company Stage

IPO

Headquarters

Santa Clara, California

Founded

1993

Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of CentML enhances NVIDIA's AI capabilities and talent pool.
  • Investment in Skild AI aligns with NVIDIA's focus on AI and robotics.
  • Collaboration with Utilidata positions NVIDIA as a leader in smart grid technology.

What critics are saying

  • Competition from startups like nEye Systems challenges NVIDIA's AI hardware dominance.
  • Emerging companies like Emerald AI pressure NVIDIA on energy-efficient solutions.
  • Acquisitions like CentML and Lepton AI may lead to integration challenges.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC with cutting-edge GPU technology.
  • The company excels in cloud-based AI solutions like NVIDIA CloudXR and NGC.
  • NVIDIA's diverse client base spans gaming, data centers, and autonomous vehicles.

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Benefits

Company Equity

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Growth & Insights and Company News

Headcount

6 month growth

1%

1 year growth

0%

2 year growth

0%
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