Full-Time

Senior ASIC Timing 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

Austin, TX, USA + 2 more

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

Category
Electronics Design Engineering
Embedded Systems Engineering
Electrical Engineering
Hardware Engineering
Electronic 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 Timing and STA
  • Hands-on experience in full-chip/sub-chip Static Timing Analysis (STA) and timing convergence, timing constraints generation and management
  • Expertise in analysis and fixing of timing paths through ECOs including crosstalk and noise analysis
  • Expertise and in-depth knowledge of industry standard STA and timing convergence tools
  • Knowledge of deep sub-micron process nodes and hands-on experience in modeling and converging timing in these nodes
Responsibilities
  • Drive timing analysis and closure of Nvidia’s GPUs, CPUs, DPUs and SoCs at block level, cluster level, and/or full chip level
  • Work with PD, DFX, Clocks, and other teams in coming up with timing closure strategy, creating timing constraints, driving timing and power convergence, as well as ECO implementation
  • Apply knowledge and experience to improve timing convergence flows working with the methodology teams.
Desired Qualifications
  • Background in domain specific STA and timing convergence, such as GPUs, CPUs, DPUs/Network processors, or SOCs
  • Understanding of DFT logic and experience with DFT timing closure for various modes e.g., scan, BIST, etc.
  • Understanding and timing closure of digital logic/macros in AMS designs/IPs
  • Experience in methodology and/or flow development as well as 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 focusing on both hardware and software solutions, offering cloud-based services like NVIDIA CloudXR and NGC for scalable applications in AI and machine learning. The company's goal is to drive innovation in technology and provide advanced solutions to a wide range 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

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