AI Engineer, Silicon Validation & Tooling

NVIDIA AI; Santa Clara (CA); On-site; USD 152,000 - 288,000; Full time

Benefits offered by this job

Equity

Benefits package

Job summary

NVIDIA AI is seeking an Applied AI Engineer to innovate, develop, and integrate AI solutions into the design and automation infrastructure powering our chips. You will architect and implement scalable AI workflows, driving initiatives from concept to deployment in a fast-paced silicon environment.

Ideal candidates have strong Python skills, experience with ML/AI systems, and a proven track record delivering production-ready automation for post-silicon validation.

Qualifications

• BS, MS, or PhD or equivalent experience in CS, EE, CE, or a related field, with 5 years of hands-on experience building and deploying ML/AI systems or data-intensive backend services.
• 2 years of direct Applied AI experience independently owning an AI agent, LLM-powered workflow, or intelligent automation system end-to-end - from prototype through production deployment.
• Strong Python skills and proficiency in at least one static language such as C, C , C#, Java, or Scala.
• Strong EE fundamentals, including computer architecture, high-speed interfaces, timing, power basics, and a solid understanding of firmware/driver structures and hardware interaction.
• Hands-on experience in production test, system validation, post-silicon bring-up, reliability, silicon debug, or silicon productization areas such as ATE, SLT, board-level test, validation, or yield analysis.
• Experience working within a silicon development environment, with exposure to chip and system characterization methodologies; familiarity with manufacturing and quality metrics (e.g., yield, FPY, DPPM, RAS, TTR, escape rate).
• Proven track record in balancing multiple concurrently projects and applying excellent problem-solving, communication, and teamwork skills.

Responsibilities

• Design and deploy AI systems for post-silicon validation.
• Collaborate with cross-functional teams to integrate AI across products and generations of silicon.
• Evaluate emerging AI frameworks and architectures for adoption across NVIDIA.
• Build data systems to prove AI impact and drive continuous improvement.

Skills

Python

ML/AI systems

C/C++

Problem-solving

Communication

Teamwork

AI workflows

Education

BS in CS/EE/CE

MS or PhD in related field

Tools

PyTorch

TensorFlow

LangChain

NeMo Agent Toolkit

CrewAI

Job description

NVIDIA AI is seeking an Applied AI Engineer to innovate, develop, and integrate AI solutions into the design and automation infrastructure powering our chips. You will architect and implement scalable AI workflows, driving initiatives from concept to deployment in a fast-paced silicon environment.

Ideal candidates have strong Python skills, experience with ML/AI systems, and a proven track record delivering production-ready automation for post-silicon validation.