Senior Applied AI and AI Infrastructure Engineer - Chip Design and DFX

NVIDIA•Santa Clara, CA

3d•$200,000 - $379,500

About The Position

Design-for-X Engineering at NVIDIA works on groundbreaking innovations involving crafting creative solutions in AI for Chip Design and AI for Predictions in various use cases in manufacturing testing on some of the industry's most complex semiconductor chips. As a senior member in our team, you will work on Applied AI projects that requires ML & Gen AI expertise. You will work on building and managing deployment cycles as part of the AI Infrastructure requirements at an org-wide level. For setting up a robust AI infrastructure, you will be the liaison between on-prem infrastructure teams and SW dev teams, while monitoring performance, automating deployments and maintaining code pipelines. 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.

Requirements

BSEE (or equivalent experience) with 12+ years, MSEE with 10+ years, or PhD with 6+ years of experience in AI Infrastructure management, Applied Machine Learning and Gen AI.
Excellent knowledge in building agents and multi-agentic ecosystems.
Experience with SQL, ETL, and data modeling.
Hands-on experience with cloud platforms (AWS, Azure, GCP).
Ability to architect and optimize multi-region, globally distributed systems to meet high standards for availability, latency, and throughput.
Experience in leading data modeling, performance tuning, and capacity planning for large-scale mission-critical Gen AI workloads.
Strong programming skills in Python, C++.
Outstanding written and oral communication skills.
Curiosity to work on rare challenges.

Nice To Haves

Experience in AI infrastructure management for real-world systems.
Experience in application of AI for Chip Design 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.

Responsibilities

Work on Applied AI projects that require ML & Gen AI expertise.
Build and manage deployment cycles as part of AI Infrastructure requirements at an org-wide level.
Serve as a liaison between on-prem infrastructure teams and SW dev teams for setting up robust AI infrastructure.
Monitor performance, automate deployments, and maintain code pipelines.
Work on hard-to-solve problems in the Design For Test space, involving algorithm design, statistical analysis of complex datasets, and Applied AI methods.
Develop and deploy DFT methodologies for next-generation products using Gen AI solutions.
Mentor junior engineers on test designs and trade-offs, including cost and quality.