Applied AI Engineer

About the role

The Silicon Co-Design Group is seeking an engineer to transform our chip design and automation infrastructure using AI. You will lead the transition of our toolchain to AI-driven workflows, directly influencing the development of future CPU, GPU, and Tegra SoC products.

Key facts

What you'll do

• Architect AI-based systems to accelerate and scale post-silicon validation processes.
• Collaborate with cross-functional teams to identify and remove bottlenecks in the silicon development cycle.
• Research and evaluate new AI frameworks to determine their viability for production integration.
• Develop data systems to measure the performance of AI implementations and drive continuous technical improvements.

Requirements

• BS, MS, or PhD in CS, EE, CE, or a related field with 5+ years of experience in ML, AI, or data-intensive backend systems.
• 2+ years of experience independently managing the end-to-end lifecycle of LLM-powered workflows, AI agents, or intelligent automation.
• Proficiency in Python and at least one static language such as C, C++, C#, Java, or Scala.
• Background in silicon development, including knowledge of chip characterization, process variation, statistical error rates, or power and timing analysis.
• Practical experience with lab debug and silicon bring-up using logic analyzers, multimeters, or oscilloscopes.
• Understanding of computer architecture, firmware, driver structures, and hardware interaction.

Nice to have

• Experience leading root cause analysis for complex system-level hardware and software issues.
• Ability to convert AI research into functional production tools.
• Familiarity with LLM development and deployment methodologies.
• Experience building orchestration agents that manage large-scale toolsets.
• Proficiency with PyTorch, TensorFlow, NeMo Agent Toolkit, LangChain, Semantic Kernel, AutoGen, CrewAI, or n8n.

Skills & tools

• Python, C, C++, C#, Java, Scala
• PyTorch, TensorFlow, NeMo Agent Toolkit, LangChain, Semantic Kernel, AutoGen, CrewAI, n8n
• Silicon characterization, lab debug, hardware-software integration

Practical notes

• Salary range for Level 3: 152,000 USD - 241,500 USD.
• Salary range for Level 4: 184,000 USD - 287,500 USD.
• Compensation includes equity and benefits.
• Application deadline: August 1, 2026.
• NVIDIA uses AI tools in the recruitment process.
• NVIDIA is an equal opportunity employer committed to diversity and inclusion.
• Job ID: JR2018179.