Full-Time

Senior ASIC Design Engineer

Confirmed live in the last 24 hours

NVIDIA

NVIDIA

10,001+ employees

Designs GPUs and AI computing solutions

Automotive & Transportation
Enterprise Software
AI & Machine Learning
Gaming

Compensation Overview

$136k - $264.5kAnnually

+ Equity

Senior

Company Historically Provides H1B Sponsorship

Remote in USA

Candidates may be preferred from California, Washington, and Oregon.

Category
Electrical Engineering
Hardware Engineering
Electronic Hardware Engineering
Required Skills
Python
Perl
C/C++

You match the following NVIDIA's candidate preferences

Employers are more likely to interview you if you match these preferences:

Degree
Experience
Requirements
  • BS / MS in Microelectronics/ Electronic Engineering/ Computer Science and related (or equivalent experience)
  • 5+ years of ASIC design experience or SOC integration design / flow experience
  • Fundamental digital design concepts and experience in ASIC design flow including RTL design, verification, logic synthesis and timing analysis
  • Strong coding skills in Perl, Python, C++, or other industry-standard scripting languages
  • Basic understanding of verification methodology
  • Excellent analytical and problem-solving skills and attention to detail.
Responsibilities
  • Be an integral part of the System ASIC Design team to help develop and improve our RTL and SOC designs
  • Collaborate with architects, ASIC designers, and verification engineers to design sophisticated system-level modules such as Floorsweep, In-silicon measurement, Reset and Boot controllers
  • You will be responsible for the RTL design, logic synthesis, and timing analysis of several modules
  • Integrate modules into the overall SOC design and work closely with other teams in the silicon bring-up process and ensure successful SOC level integration
  • You will also use your expertise to identify and implement improvements in the current design flow and methodologies to improve efficiency and quality.
Desired Qualifications
  • Familiarity with ARM CPU and SoC system architecture, microprocessor, and microcontroller fundamentals (caches, buses, memory controllers, DMA, etc.)
  • Experience with reset controllers, boot, fuse controllers or UCIe protocol
  • Hands-on experience in programming (C/C++) and scripting (Perl/Python).

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). These products help developers, data scientists, and IT administrators perform complex tasks efficiently. NVIDIA differentiates itself from competitors by focusing on technological advancements and a diverse range of applications, including cloud-based services like NVIDIA CloudXR and NGC, which enhance experiences in AI, machine learning, and computer vision. The company's goal is to drive innovation in computing and provide effective solutions for a wide array of clients, from gamers to enterprises.

Company Stage

IPO

Total Funding

$19.5M

Headquarters

Santa Clara, California

Founded

1993

Growth & Insights
Headcount

6 month growth

0%

1 year growth

0%

2 year growth

-1%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of VinBrain enhances NVIDIA's AI-driven healthcare solutions.
  • Investment in Nebius Group boosts NVIDIA's AI infrastructure capabilities.
  • Partnership with Serve Robotics aligns with NVIDIA's focus on robotics and AI applications.

What critics are saying

  • Increased competition from AI startups like xAI challenges NVIDIA's market position.
  • Serve Robotics' rapid expansion may lead to financial strain if market growth lags.
  • Integration challenges from VinBrain acquisition may affect NVIDIA's operational efficiency.

What makes NVIDIA unique

  • NVIDIA leads in AI and HPC solutions with cutting-edge GPU technology.
  • The Omniverse platform enhances NVIDIA's capabilities in industrial AI and digital twins.
  • NVIDIA's cloud services, like CloudXR, offer scalable solutions for AI and machine learning.

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Benefits

Company Equity

401(k) Company Match