Simulation Software Infrastructure Architect

Our technology continues to redefine what's possible! At the forefront of innovation, NVIDIA is building the most advanced computing platforms that empower researchers and engineers to push the boundaries of science and technology. Our visual computing prowess drives not only exceptional user experiences but also energy-efficient solutions. We're the pioneers behind accelerated computing, a capability embraced by the world's most demanding users – from scientists unraveling complex phenomena to designers crafting the next generation of products.

But our true strength lies in our people. We're a collective of the brightest minds, and our inclusive culture makes NVIDIA an incredibly stimulating and rewarding place to contribute. Our core values – innovation, excellence, determination, and teamwork – are the bedrock of our success, guiding us to achieve our best. We are now seeking a highly motivated Lead Infrastructure & Simulation Technology expert to spearhead the evaluation and deployment of cutting-edge tools and infrastructure for our NIC architecture performance modeling team.

What You'll Be Doing

• Hands-on infrastructure development and maintenance using cutting-edge technologies.
• Identify, evaluate, and integrate AI/ML tools specifically for hardware simulation workflows. Architect and manage the underlying infrastructure to support internal Large Language Model (LLM) projects.
• Optimize SW Development Life Cycle (SDLC) & deployment: Architect and implement advanced Git branching strategies, robust CI/CD pipelines, and Docker containerization to streamline the software development lifecycle and accelerate deployment of simulation tools.
• Architect scalable simulation automation: design and implement orchestration frameworks for executing large-scale hardware simulations efficiently and reliably.
  
  

• BSc or equivalent experience in computer science, electrical engineering, or a related field.
• 3+ years of experience in a relevant role, focusing on infrastructure, DevOps, or simulation technologies.
• Proven experience in evaluating and integrating new technologies, particularly in the AI/ML space.
  
  

• Experience managing infrastructure for AI/ML workloads, including LLM projects.
• Hands-on experience with HW architecture performance simulations tools (systemc, gem5) and workflows.
• Familiarity with cloud computing platforms (e.g., AWS, Azure, GCP).