Senior ASIC Physical Design and Timing Engineer at NVIDIA

Santa Clara, California, United States

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

Requirements

  • BS (or equivalent experience) in Electrical or Computer Engineering with 5+ years experience or MS (or equivalent experience) with 2+ years experience in Synthesis and Timing
  • Hands-on experience in full-chip/sub-chip Static Timing Analysis (STA), timing constraints generation and management, and timing convergence
  • Expertise in analysis and fixing of timing paths through ECOs including crosstalk and noise analysis
  • Expertise in physical design and optimization e.g., placement, routing, cell sizing, buffering, logic restructuring, etc. to improve timing and power, along with a background in implementing them through ECOs
  • Background in logic synthesis and equivalence checking/FV
  • Expertise and in-depth knowledge of industry standard EDA tools
  • Proficiency in programming and scripting languages, such as Perl, Tcl, Python, etc

Responsibilities

  • Drive timing analysis and closure of Nvidia’s GPUs, CPUs, DPUs and SoCs at block level, cluster level, and/or full chip level
  • Help in driving frontend and backend implementation including synthesis, equivalence checking, floor-planning, timing constraints, timing and power convergence, and ECO implementation
  • Work in a cross-functional environment interacting with multiple teams
  • Apply knowledge and experience to improve timing convergence flows working with the methodology teams

Skills

Key technologies and capabilities for this role

Timing AnalysisTiming ClosureSynthesisEquivalence CheckingFloorplanningTiming ConstraintsPower ConvergenceECO ImplementationASIC DesignPhysical DesignSoC

Questions & Answers

Common questions about this position

What is the salary for this Senior ASIC Physical Design and Timing Engineer position?

This information is not specified in the job description.

Is this role remote or does it require working from an office?

This information is not specified in the job description.

What skills are required for this ASIC Timing Engineer role?

Required skills include hands-on experience in full-chip/sub-chip Static Timing Analysis (STA), timing constraints generation and management, and timing convergence; expertise in analysis and fixing of timing paths through ECOs including crosstalk and noise analysis; expertise in physical design and optimization like placement, routing, cell sizing, buffering, and logic restructuring; background in logic synthesis and equivalence checking; proficiency in programming and scripting languages such as Perl, Tcl, Python; and in-depth knowledge of industry standard EDA tools.

What is the company culture like at NVIDIA for this team?

NVIDIA is described as a dynamic and growing team that is a 'learning machine' constantly evolving by adapting to new opportunities which are hard to tackle, that only they can pursue, and that matter to the world, with a focus on amplifying human inventiveness and intelligence in a cross-functional environment.

What makes a candidate stand out for this position?

Candidates can stand out with background in domain specific STA and timing convergence such as CPUs, GPUs or Network processor implementation or SOCs; understanding of DFT logic and experience with DFT timing closure for various modes; and knowledge of deep sub-micron technologies.

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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