Applied AI Engineer

NVIDIA's Silicon Co-Design Group is seeking an Applied AI Engineer to innovate, develop, and integrate AI solutions into the design and automation infrastructure that powers our chips. Every CPU, GPU, and Tegra SoC NVIDIA has shipped in the past four years passed through our toolchain on its way to production — over 200 product SKUs were optimized during the Blackwell generation alone. Now we're rebuilding that toolchain around AI, and we're looking for the engineer to lead that charge.

About the role

In this role, you will architect and implement solutions that enhance the efficiency, scalability, and intelligence of our workflows, driving initiatives from concept to deployment. You will work on LLM-powered validation pipelines, cross-team AI integration, technology scouting, and impact measurement to push the boundaries of semiconductor design and automation.

Responsibilities

• Design and deploy AI systems that make post-silicon validation faster, smarter, and more scalable across semiconductor environments.
• Work directly with multi-functional engineering teams to identify where AI can eliminate friction and build solutions that impact teams, products, and generations of silicon.
• Evaluate emerging AI frameworks and architectures, making adoption recommendations before industry-wide trends emerge.
• Build data systems to measure AI impact, establish quantitative indicators, close performance gaps, and drive continuous improvement across the organization.

Requirements

• 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 concurrent projects and applying excellent problem-solving, communication, and teamwork skills.

Skills

• Exposure to GPU, CPU, AI accelerator, networking, automotive, or other large-scale SoC programs.
• Familiarity with modern AI technologies and methodologies for crafting and launching LLMs.
• Experience with building and deploying orchestration agents managing hundreds to thousands of tools.
• Ability to translate innovative AI research into practical, high-impact production tools.
• Demonstrated experience with deep learning frameworks like PyTorch or TensorFlow, and hands-on experience with agentic and orchestration tools, including NeMo Agent Toolkit, LangChain, Semantic Kernel, AutoGen, CrewAI, or n8n.

Benefits

We offer a dynamic work environment where your contributions will directly impact the company's success. Join us to advance your career in a role where you can truly make a difference. With competitive salaries and a generous benefits package, NVIDIA is widely considered one of the technology industry’s most desirable employers.

Pay

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 - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.