Senior VLSI Physical Design Integration Engineer at NVIDIA

Westford, Massachusetts, United States

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$136,000 – $264,500Compensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Technology, AIIndustries

Requirements

BSEE / MSEE or equivalent experience
Minimum 5+ years of experience in VLSI physical design implementation on 16nm, 7nm, 5nm, or 3nm technology
Strong analytical and debugging skills
Proficiency with P&R (Place and Route), Timing Analysis, Physical Verification (LVS/DRC), and IR Drop Analysis tools from Synopsys (ICC2/DC/PT/STAR/ICV), Cadence (Genus/Innovus/Tempus), and other major EDA companies
Familiarity with design flow development and debugging
Scripting proficiency in Python, Perl, Tcl, and Make is desired
Strong teamwork and collaboration skills

Responsibilities

Run integration flows to build RTL, perform connectivity checks, and assemble logical units
Perform linting checks and debug RTL and netlist-level issues
Collaborate with front-end teams to resolve connectivity issues and implement design fixes to ensure physically-viable RTL netlists are delivered to downstream physical design flows
Project-level cell library management to ensure compatibility between all workflows
Run synthesis workflows and optimize for area, power, and timing
Run physical design flow from netlist to GDS, perform STA (Static Timing Analysis), and perform physical verification (LVS/DRC)
Perform netlist checks and formal equivalence validation
Enhance tool automation, streamline workflows, and document best practices

Skills

Key technologies and capabilities for this role

Place and RouteTiming AnalysisPhysical VerificationLVSDRCIR Drop AnalysisICC2DCPTSTARICVGenusInnovusTempusPythonPerlTclMakeSTARTLNetlist

Questions & Answers

Common questions about this position

What is the salary range for this Senior VLSI Physical Design Integration Engineer position?

The base salary range is $136,000 - $264,500 USD.

Is this position remote or hybrid, and where is it located?

This is a hybrid position available in the USA, Israel, or India.

What key skills are required for this role?

Candidates need 5+ years in VLSI physical design on advanced nodes (16nm, 7nm, 5nm, or 3nm), proficiency with EDA tools like Synopsys ICC2/DC/PT/STAR/ICV and Cadence Genus/Innovus/Tempus for P&R, Timing Analysis, Physical Verification, and IR Drop Analysis, plus strong analytical, debugging, and teamwork skills. Scripting in Python, Perl, Tcl, and Make is desired.

What is the company culture like at NVIDIA?

NVIDIA values creativity, autonomy, and a diverse work environment, and is widely considered a leader in AI computing and one of the technology world’s most desirable employers.

What benefits are offered for this position?

Benefits include equity and other benefits.

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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