NVIDIA | NVIDIA

Senior DFT Methodology - Data Analytics and Applied AI Engineer

Full-time · US, CA, Santa Clara
✓ Verified live on the employer's own system · added 5 days ago
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Junior · 1+ yr exp

Requirements

Education: Doctorate

Experience: 1+ year

Skills & tools

Data AnalysisEtlTeam LeadershipMachine LearningManagementSQLCloud PlatformsPerformance Tuning
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Full job description

What you'll be doing: As a senior member in our team, you will work with pre-silicon and post-silicon data analytics - visualization, insights and modeling. Design and uphold sturdy data pipelines and ETL processes for the ingestion and processing of DFX Engineering data from various origins Lead engineering efforts by collaborating with cross-functional teams (execution, analytics, data science, product) to define data requirements and ensure data quality and consistency You will work on hard-to-solve problems in the Design For Test space which will involve application of algorithm design, using statistical tools to analyze and interpret complex datasets and explorations using Applied AI methods.

In addition, you will help develop and deploy DFT methodologies for our next generation products using Gen AI solutions. You will also help mentor junior engineers on test designs and trade-offs including cost and quality. What we need to see: BSEE (or equivalent experience) with 5+, MSEE with 3+, or PhD with 1+ years of experience in low-power DFT, Data Visualization, Applied Machine Learning or Database Management.

Experience with SQL, ETL, and data modeling is crucial Hands-on experience with cloud platforms (AWS, Azure, GCP) Design and implement highly scalable, fault tolerant distributed database solutions Lead data modeling, performance tuning, and capacity planning for large-scale, mission-critical storage workloads Excellent knowledge in using statistical tools for data analysis & insights.

Strong programming and scripting skills in Perl, Python, C++ or Tcl is expected Outstanding written and oral communication skills with the curiosity to work on rare challenges. Ways to stand out from the crowd: Experience in data pipeline and database architecture for real-world systems Experience in application of AI for EDA-related problem-solving Good understanding of technology and passionate about what you do Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment NVIDIA offers highly competitive salaries and a comprehensive benefits package.

We have some of the most forward-thinking and talented people in the world working for us and, due to unprecedented growth, our world-class engineering teams are growing fast. If you're a creative and autonomous engineer with real passion for technology, we want to hear from you! #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions.

The base salary range is 152,000 USD - 230,000 USD for Level 3, and 168,000 USD - 264,500 USD for Level 4. You will also be eligible for equity and benefits. Applications for this job will be accepted at least until August 7, 2026.

This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer.

As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

NVIDIA pioneered accelerated computing. Today, our AI infrastructure powers global intelligence, transforming every industry. Learn more about NVIDIA.

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