Senior SRAM Circuit Design Engineer at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

MS in Electrical or Computer Engineering or equivalent experience
4+ years of relevant experience
Strong background in deep submicron process issues
Proven experience on transistor-level circuit design and circuit behavior analysis
Deep background of the design, verification and characterization of SRAM/caches
Strong understanding on generating performance/power/margin data of SRAM, validation of data and QA process
Familiar with EMIR/Aging/Self heating and their impacts to circuit/layout implementations and signoff flows
Expert with ASIC design semi-custom and full-custom flow
Hands-on experience running SPICE simulation, and capability to adapt to new simulation tools
Strong proficiency in scripting language, such as, Perl, Tcl, Make, and automation methods/algorithms a certain plus
Great team-work, communication and analytical skills

Responsibilities

Work on the state of the art processor design in advanced technologies, and on the design, verification and characterization of SRAM
Drive the concepts of the transistor level circuit design, modeling and performance analysis process and optimize design for power, timing, area and yield
Make the layout floorplan and work with layout designers to optimize it for power and performance
Collaborate with the support development of tools using Perl/Python
Have creative new ideas to support existing tools and flows
Develop and Perform timing characterization and circuit verification
Collaborate with cross function teams with regards to sram issues
Use Verilog, VHDL, simulators and waveform debugging tools. Write RTL and perform verification against circuit

Skills

SRAM

Circuit Design

Verilog

VHDL

RTL

Perl

Python

Timing Analysis

Layout Floorplan

Transistor Level Design

Verification

Waveform Debugging

Deep Submicron Process

NVIDIA

Designs GPUs and AI computing solutions

About NVIDIA

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 products include GPUs tailored for gaming and professional use, as well as platforms for artificial intelligence (AI) and high-performance computing (HPC) that cater to developers, data scientists, and IT administrators. NVIDIA generates revenue through the sale of hardware, software solutions, and cloud-based services, such as NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. What sets NVIDIA apart from competitors is its strong focus on research and development, allowing it to maintain a leadership position in a competitive market. The company's goal is to drive innovation and provide advanced solutions that meet the needs of a diverse clientele, including gamers, researchers, and enterprises.

Santa Clara, CaliforniaHeadquarters

1993Year Founded

$19.5MTotal Funding

IPOCompany Stage

Automotive & Transportation, Enterprise Software, AI & Machine Learning, GamingIndustries

10,001+Employees

Benefits

Company Equity

401(k) Company Match

Risks

Increased competition from AI startups like xAI could challenge NVIDIA's market position.

Serve Robotics' expansion may divert resources from NVIDIA's core GPU and AI businesses.

Integration of VinBrain may pose challenges and distract from NVIDIA's primary operations.

Differentiation

NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.

The company excels in diverse markets, including gaming, data centers, and autonomous vehicles.

NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

Upsides

Acquisition of VinBrain enhances NVIDIA's AI capabilities in the healthcare sector.

Investment in Nebius Group boosts NVIDIA's AI infrastructure and cloud platform offerings.

Serve Robotics' expansion, backed by NVIDIA, highlights growth in autonomous delivery services.

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