Senior DFT Methodology - Data Analytics and Applied AI Engineer

at Nvidia

USD 152,000-264,500 per year

SENIOR

✅ Hybrid

Tech Stack
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AI @ 4 AWS @ 4 Azure @ 4 Communication @ 6 Data Analysis @ 8 Data Engineering Data Modeling @ 4 Data Pipelines Data Science Data Visualization @ 6 ETL @ 4 GCP @ 4 GenAI Generative AI Machine Learning @ 6 Perl @ 7 Python @ 7 SQL @ 4

Details

NVIDIA's Design-for-Test Engineering team develops innovative solutions for DFT architecture, verification, and post-silicon validation on complex semiconductor chips. This role focuses on pre-silicon and post-silicon data analytics, data engineering, statistical analysis, and applied AI for DFT methodologies and next-generation products.

Responsibilities

Perform pre-silicon and post-silicon data analytics, including visualization, insight generation, and modeling.
Design and maintain robust data pipelines and ETL processes for ingesting and processing DFX Engineering data from multiple sources.
Lead engineering efforts with execution, analytics, data science, and product teams to define data requirements and ensure data quality and consistency.
Apply algorithm design, statistical tools, and applied AI methods to solve complex Design-for-Test problems.
Help develop and deploy DFT methodologies for next-generation products using generative AI solutions.
Mentor junior engineers on test designs and trade-offs, including cost and quality considerations.

Requirements

BSEE or equivalent experience with 5+ years of experience, MSEE with 3+ years, or PhD with 1+ years of experience in low-power DFT, data visualization, applied machine learning, or database management.
Crucial experience with SQL, ETL, and data modeling.
Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
Experience designing and implementing highly scalable, fault-tolerant distributed database solutions.
Experience leading data modeling, performance tuning, and capacity planning for large-scale, mission-critical storage workloads.
Excellent knowledge of statistical tools for data analysis and insights.
Strong programming and scripting skills in Perl, Python, C++, or Tcl.
Outstanding written and oral communication skills and curiosity to work on challenging problems.

Preferred Qualifications

Experience with data pipeline and database architecture for real-world systems.
Experience applying AI to EDA-related problem-solving.
Strong understanding of technology and passion for engineering.
Strong collaborative and interpersonal skills, including the ability to guide and influence others in a dynamic environment.

Compensation And Benefits

Base salary range: USD 152,000–230,000 for Level 3 and USD 168,000–264,500 for Level 4, depending on location, experience, and comparable employee compensation.
Eligible for equity and benefits.
Full-time position.
Applications accepted at least until August 7, 2026.
NVIDIA is an equal opportunity employer and uses AI tools in its recruiting processes.