Applied AI Engineer

Details

NVIDIA's Silicon Co-Design Group is seeking an Applied AI Engineer to develop and integrate AI solutions into the design and automation infrastructure powering its chips. The role focuses on rebuilding the toolchain around AI and driving initiatives from concept through deployment.

Responsibilities

• Design and deploy LLM-powered validation pipelines to make post-silicon validation faster, smarter, and more scalable across semiconductor environments.
• Work with multifunctional engineering teams to identify opportunities for AI integration and build production solutions.
• Evaluate emerging AI frameworks and architectures and recommend technologies for adoption.
• Build data systems and quantitative indicators to measure AI impact, identify performance gaps, and drive continuous improvement.
• Architect and implement solutions that improve workflow efficiency, scalability, and intelligence.

Requirements

• Bachelor's, master's, or PhD in computer science, electrical engineering, computer engineering, or a related field, or equivalent experience.
• At least 5 years of hands-on experience building and deploying ML/AI systems or data-intensive backend services.
• At least 2 years of direct applied AI experience independently owning an AI agent, LLM-powered workflow, or intelligent automation system from prototype through production deployment.
• Strong Python skills and proficiency in at least one statically typed language such as C, C++, C#, Java, or Scala.
• Strong electrical engineering fundamentals, including computer architecture, high-speed interfaces, timing, power basics, and firmware/driver structures and hardware interaction.
• Hands-on experience in production test, system validation, post-silicon bring-up, reliability, silicon debug, or silicon productization, including ATE, SLT, board-level test, validation, or yield analysis.
• Experience working in a silicon development environment, including exposure to chip and system characterization methodologies.
• Familiarity with manufacturing and quality metrics such as yield, FPY, DPPM, RAS, TTR, and escape rate.
• Strong problem-solving, communication, teamwork, and project-management skills.

Preferred Qualifications

• Experience with 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 building and deploying orchestration agents managing hundreds to thousands of tools.
• Ability to translate AI research into practical, high-impact production tools.
• Experience with PyTorch or TensorFlow.
• Experience with agentic and orchestration tools such as NeMo Agent Toolkit, LangChain, Semantic Kernel, AutoGen, CrewAI, or n8n.

Benefits

• Equity and benefits are provided.
• The role is full time.
• Applications are accepted at least until August 15, 2026.

NVIDIA is an equal opportunity employer committed to an inclusive work environment.