Senior DFT Engineer at NVIDIA

Santa Clara, California, United States

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductors, AIIndustries

Requirements

MS/PhD or equivalent experience in Electrical Engineering or a related field
5+ years of hands-on experience in Design-For-Test (DFT)
Deep knowledge of DFT tools, methodologies, and test strategies for complex, large-scale designs
Strong experience with industry standard ATPG tools
Clear, effective communicator—strong written and verbal skills
Passion for mentoring and scaling technical excellence in a team

Responsibilities

Develop and deploy industry-leading test methodologies on NVIDIA’s next-generation silicon platforms
Collaborate with leading EDA vendors to shape tool capabilities that meet NVIDIA’s ambitious design goals, and partner with internal CAD teams to drive scalable, automated solutions
Co-architect novel DFT strategies alongside VLSI and Product Engineering teams to push the boundaries of silicon test innovation
Own the full ATPG lifecycle—verification, coverage analysis, pattern generation, and ATE bring-up—across NVIDIA’s full product portfolio
Guide and mentor junior engineers, helping them navigate complex design trade-offs to achieve world-class quality and efficiency

Skills

Key technologies and capabilities for this role

DFTATPGScan TestRTLATEEDAVLSICoverage AnalysisPattern Generation

Questions & Answers

Common questions about this position

What compensation does NVIDIA offer for this role?

NVIDIA offers highly competitive salaries and a comprehensive benefits package.

Is this position remote or does it require working in an office?

This information is not specified in the job description.

What skills and experience are required for the Senior DFT Engineer role?

Candidates need an MS/PhD or equivalent in Electrical Engineering or related field, 5+ years of hands-on DFT experience, deep knowledge of DFT tools and methodologies for complex designs, strong experience with ATPG tools, and clear communication skills.

What is the company culture like at NVIDIA's DFX team?

The team is a globally recognized group that delivers breakthrough performance, works on the hardest problems with brilliant and motivated people, emphasizes mentoring, scaling technical excellence, and innovating at scale for advanced silicon.

What makes a candidate stand out for this Senior DFT Engineer position?

Stand out with experience in 2.5D/3D ICs or multi-chiplet architectures, background in EDA tool flows, silicon testing and ATE, expertise in programming/AI for automation, and success in leading organization-wide changes.

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.

Land your dream remote job 3x faster with AI

Try Jobo Free