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

at Nvidia

USD 200,000-379,500 per year

SENIOR

✅ On-site

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

AI @ 7 AWS @ 4 Azure @ 4 Communication @ 6 Data Modeling @ 4 Distributed Systems ETL @ 4 GCP @ 4 GenAI Generative AI @ 7 Machine Learning @ 7 Python @ 7 SQL @ 4

Details

NVIDIA's Design-for-X Engineering team develops innovative AI solutions for chip design and predictions in manufacturing testing for complex semiconductor chips.

Responsibilities

Work as a senior team member on applied AI projects requiring machine learning and generative AI expertise.
Build and manage deployment cycles as part of organization-wide AI infrastructure requirements.
Liaise between on-premises infrastructure teams and software development teams.
Monitor performance, automate deployments, and maintain code pipelines.
Solve complex problems in the Design-for-Test space using algorithm design, statistical tools, complex dataset analysis, and applied AI methods.
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.
Architect and optimize multi-region, globally distributed systems for availability, latency, and throughput.
Lead data modeling, performance tuning, and capacity planning for large-scale, mission-critical generative AI workloads.

Requirements

BSEE or equivalent experience with 12+ years of experience, MSEE with 10+ years of experience, or PhD with 6+ years of experience in AI infrastructure management, applied machine learning, and generative AI.
Excellent knowledge of building agents and multi-agent ecosystems.
Experience with SQL, ETL, and data modeling.
Hands-on experience with cloud platforms such as AWS, Azure, or GCP.
Strong programming skills in Python and C++.
Outstanding written and oral communication skills, with curiosity to work on challenging problems.

Preferred Qualifications

Experience managing AI infrastructure for real-world systems.
Experience applying AI to chip design problem-solving.
Good understanding of technology and passion for technical work.
Strong collaborative and interpersonal skills, including the ability to guide and influence others in a dynamic environment.

Benefits

NVIDIA offers competitive salaries, equity, and a comprehensive benefits package. NVIDIA is an equal opportunity employer and is committed to fostering an inclusive work environment.

The base salary range is USD 200,000–322,000 for Level 5 and USD 248,000–379,500 for Level 6. Applications will be accepted at least until June 19, 2026.