Full-Time

Senior ASIC Physical Design Engineer

High Performance Designs

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

Austin, TX, USA + 2 more

More locations: Santa Clara, CA, USA | Hillsboro, OR, USA

Category
Electrical Engineering
Hardware Engineering
Computer Hardware Engineering

You match the following NVIDIA's candidate preferences

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

Degree
Experience
Requirements
  • BS (or equivalent experience) in Electrical or Computer Engineering with 5+ years experience or MS (or equivalent experience) with 2+ years experience in physical design and implementation.
  • Hands-on experience in physical synthesis, floor planning, P&R, and timing closure of high-performance designs with a focus on improving PPA (Performance, Power, Area).
  • Good understanding of hardware architecture and RTL/logic design for timing closure, specifically experience in critical timing path planning and crafting.
  • Expertise and hands-on knowledge of industry standard EDA tools for Synthesis, P&R and Timing.
  • Knowledge of deep sub-micron process nodes and hands-on experience in modeling and converging high-performance designs in these nodes.
Responsibilities
  • Drive next generation physical design work to achieve best in class PPA for high-performance designs, e.g. Nvidia’s CPUs and GPUs.
  • Explore design space, create optimum floorplan, drive synthesis, physical implementation, and timing closure by understanding arch/logic as well as dataflow and exhibiting craftsmanship.
  • Work in a cross-functional environment interacting with multiple teams, including Architecture and RTL team, to solve complex design problems as well as build new methodologies and flows.
Desired Qualifications
  • Background in high-performance designs, such as CPUs, GPUs or Large Cache design implementation and timing convergence.
  • Understanding of high-performance design issues (timing, power, area, congestions, etc.) and methods/techniques to address those.
  • Understanding of high-speed clock distribution and planning as well as impact of DFT logic in timing convergence.
  • Knowledge of circuits and SPICE, as well as experience in methodology and/or flow development and automation.

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 tailored 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 cater to a wide range of applications such as AI and machine learning. The company's goal is to drive innovation in technology and provide advanced solutions that meet the needs of gamers, researchers, and 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

0%
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