Senior DFT Engineer - Hardware at NVIDIA

Bengaluru, Karnataka, India

Apply Now

Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Semiconductor, Hardware, AI, Computer GraphicsIndustries

Requirements

Btech/BE/BS or Mtech/ME/MS in EE/ECE or equivalent experience
Solid Analytical and Problem Solving skills
Good understanding and Exposure to Logic design, Architecture & Verification
Strong Coding skills in industry standard scripting languages
3+ yrs of experience in DFT and/or Industry-standard verification flows like constrained random testing, UVM, coverage metrics, profiling tools, X prop, etc. (preferred)
Outstanding written and oral communication skills with the curiosity to learn

Responsibilities

POR to Post Silicon Testing of DFX features for high speed IOs, including crafting of test features crucial for manufacturing testability of HighSpeed IOs
Architect, Design & Validate these test features with a robust & scalable testplan development at unit-level and SOC/Full Chip level using verification methodologies like UVM and NVIDIA Internal tools
Pre-Silicon Simulation and Debug of Test functionality using standard Industry tools and sign off on Test coverage for various products using standard coverage metrics
Work on automation, flow development & improvement, coverage metrics, test execution, bug identification/fix and IO-test productization
Solve complex Test problems in the mixed-signal world and develop a scalable test solution that works across platforms
Work with powerful Industry-standard tools for Design and verification methodologies along with SV, UVM, Perl, Python and adapt to NVIDIA custom tools/flows
Partnering closely with our IP teams for design/verification of IOBIST test-logic
Collaborating with Mixed Signal Circuit design teams to understand the analog design components in an IO cell
Collaborate with other DFX teams, coordinate with Post Silicon Test Engineering and Production Engineering teams for productizing quality test at efficient test cost

Skills

DFT

DFX

Post Silicon Testing

UVM

Pre-Silicon Simulation

Testplan Development

Coverage Metrics

High Speed IO

Mixed-Signal Testing

Automation

Semiconductor Testing

SOC Verification

Bug Debug

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