Applied AI Engineer

Role Description

NVIDIA's Silicon Co-Design Group is seeking an Applied AI Engineer to innovate, develop, and integrate innovative AI solutions into the design and automation infrastructure that powers our chips. 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.

• LLM-Powered Validation Pipelines: Design and deploy AI systems that make post-silicon validation faster, smarter, and more scalable across semiconductor environments.
• Cross-Team AI Integration: Work directly with multi-functional engineering teams to identify where AI can eliminate friction, and then build the solution.
• Technology Scouting & Evaluation: Evaluate emerging AI frameworks and architectures before the rest of the industry catches on.
• Impact Measurement & Continuous Improvement: Build the data systems that prove what's working and establish clear, quantitative indicators of AI impact.

Qualifications

• BS, MS, or PhD or equivalent experience in CS, EE, CE, or a related field.
• 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.
• Strong Python skills and proficiency in at least one static language such as C, C++, C#, Java, or Scala.
• Proven track record with deploying, monitoring, and debugging scalable AI/ML models.
• Strong EE fundamentals, including computer architecture, high-speed interfaces, timing, power basics, and a solid understanding of firmware/driver structures and hardware interaction.
• Experience working within a silicon development environment, with exposure to chip and system characterization methodologies.
• Hands-on experience with silicon bring-up, characterization, or lab debug using standard tools (e.g., oscilloscopes, multimeters, logic analyzers).
• Proven ability to balance multiple simultaneous projects with excellent problem-solving, communication, and collaboration skills.

Requirements

• Familiarity with modern AI technologies and methodologies for crafting and launching LLMs.
• Demonstrated experience with deep learning frameworks like PyTorch or TensorFlow.
• Hands-on experience with agentic and orchestration tools including NeMo Agent Toolkit, LangChain, Semantic Kernel, AutoGen, CrewAI, or n8n.
• Experience debugging complex system-level issues involving HW/SW interactions.

Benefits

• Base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.
• Eligible for equity and benefits.

Company Description

NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.