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.
What we need to see:
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.
Ways to stand out from the crowd:
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).
Join the team that's shaping the future of technology! NVIDIA offers a dynamic and intellectually stimulating environment where your contributions will have a significant impact. If you are a driven and innovative engineer with a passion for building cutting-edge infrastructure and optimizing complex workflows, we encourage you to apply.
Top Skills
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
