Senior ASIC Design Engineer - DFX at NVIDIA

Santa Clara, California, United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, TechnologyIndustries

Requirements

Master’s degree (or equivalent experience) in Electrical Engineering or related field
5+ years of hands-on experience in SoC architecture, RTL design, and verification
Strong proficiency in micro-architecture and RTL development using Verilog
Deep expertise in DFT design, methodology, and implementation
Familiarity with related domains such as clocking, STA, place & route, and power optimization
Experience in post-silicon bring-up on ATE, including understanding of pattern formats, test program development, and failure analysis
Proficiency in scripting languages such as Python, Perl, or Tcl
Excellent communication skills and a collaborative mindset—with a curiosity and passion for solving complex technical challenges
Experience with formal verification using JasperGold (plus)

Responsibilities

Own the architecture, design, and verification of DFT IPs for cutting-edge SoC designs
Develop, deploy, and enhance DFT methodologies for scalability and future product needs
Define and align feature sets by working closely with architects, platform, and software teams
Partner with design, verification, synthesis, timing, and backend teams to ensure cohesive integration
Create and execute test plans to support both functional and DFT full-chip verification
Support post-silicon bring-up and validation efforts including debug and issue resolution
Mentor junior engineers on test design strategies and trade-offs related to cost, quality, and performance

Skills

Key technologies and capabilities for this role

ASIC DesignDFXDFTSoCRTLVerificationPost-Silicon ValidationTest PlanSynthesisTiming Analysis

Questions & Answers

Common questions about this position

What education and experience are required for this Senior ASIC Design Engineer role?

A Master’s degree (or equivalent experience) in Electrical Engineering or related field is required, along with 5+ years of hands-on experience in SoC architecture, RTL design, and verification.

What key technical skills are needed for this position?

Strong proficiency in micro-architecture and RTL development using Verilog, deep expertise in DFT design, methodology, and implementation, plus proficiency in scripting languages such as Python, Perl, or Tcl are required.

What does the work environment and team culture look like at NVIDIA for this role?

The role is in a fast-paced, collaborative environment where you'll work with cross-functional teams including architects, platform, software, design, verification, synthesis, timing, and backend teams, with opportunities to mentor junior engineers.

Is this position remote or does it require office work?

This information is not specified in the job description.

What is the salary or compensation for this role?

This information is not specified in the job description.

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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