Senior SRAM Engineer, Circuit Design at NVIDIA

Santa Clara, California, United States

NVIDIA Logo
Not SpecifiedCompensation
Senior (5 to 8 years)Experience Level
Full TimeJob Type
UnknownVisa
Semiconductor, Artificial Intelligence, TechnologyIndustries

Requirements

  • BS/MS/PhD (or equivalent experience) in Electrical or Computer Engineering
  • Minimum 3 years of circuit design experience
  • Experience with scripting languages - Perl and Python
  • Strong understanding of SRAM and memory design techniques and macro/block development

Responsibilities

  • Design best-in-class SRAM circuits using state-of-the-art technology processes
  • Optimize circuits for performance, area, and power
  • Supervise mask designers to craft high quality and dense pitch-matched layout
  • Verify functionality, electrical integrity, and robustness
  • Improve/develop flows and methodologies to streamline design automation, data collection, and analysis to ensure working silicon

Skills

Key technologies and capabilities for this role

SRAM DesignCircuit DesignPythonPerlCadence VirtuosoSPICEStatic Timing AnalysisEM AnalysisIR AnalysisFormal VerificationLayoutMask Design

Questions & Answers

Common questions about this position

What is the base salary range for this Senior SRAM Engineer position?

The base salary range is 136,000 USD - 212,750 USD, determined based on location, experience, and pay of employees in similar positions.

What benefits are offered for this role?

You will be eligible for equity and benefits.

Is this position remote or does it require working in an office?

This information is not specified in the job description.

What skills and experience are required for this Senior SRAM Engineer role?

Candidates need a BS/MS/PhD in Electrical or Computer Engineering, minimum 3 years of circuit design experience, experience with Perl and Python scripting, and strong understanding of SRAM and memory design techniques.

What makes a candidate stand out for this position?

Stand out with self-motivation, attention to detail, strong data analysis, clear communication skills, familiarity with Cadence Virtuoso, SPICE simulators, and experience with flows like Static Timing analysis, EM/IR analysis, and Formal Verification.

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.

Land your dream remote job 3x faster with AI