Job description

Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing, an era in which our GPUs act as the brains of computers, robots, and self-driving cars that can understand the world. Doing what s never been done before takes vision, innovation, and the world s best talent. As an NVIDIAN, you ll be immersed in a diverse, encouraging environment where everyone is inspired to do their best work. As LLM architectures and inference workloads evolve, understanding how they map to hardware is critical to designing efficient AI systems. Our team combines simulation and agentic engineering to understand emerging architectures and inform hardware and software decisions. What you ll be doing: Building and validating performance models for LLM architectures across GPU, LPU, and heterogeneous systems. Developing agents to automate simulation workflows, analyze bottlenecks, and accelerate design space exploration. Collaborating with hardware architecture, inference, runtime, and compiler teams to improve modeling accuracy and guide optimization. What we need to see: MS in Computer Science or a related field, with 5 years of experience. Familiarity with modern LLM architectures and their inference characteristics. Experience with simulation, profiling, or performance modeling, including familiarity with roofline analysis for LLM inference. Strong analytical skills and a rigorous approach to experimentation and validation. Strong software engineering skills and experience building reliable engineering tools using coding agents like Claude Code, Codex, etc. Ways to stand out from the crowd: Experience building agents that automate complex engineering workflows. Knowledge of accelerator architecture and compute, memory, or communication bottlenecks. Open-source contributions in agentic systems, simulation, or inference optimization. NVIDIA is widely considered one of the technology world s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you re creative, analytical, and autonomous, we want to hear from you! #LI-Hybrid Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until October 13, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) 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.

Requirements

Must-haves

Building and validating performance models for LLM architectures across GPU, LPU, and heterogeneous systems.
Developing agents to automate simulation workflows, analyze bottlenecks, and accelerate design space exploration.
Collaborating with hardware architecture, inference, runtime, and compiler teams to improve modeling accuracy and guide optimization.
MS in Computer Science or a related field, with 5 years of experience.
Familiarity with modern LLM architectures and their inference characteristics.
Experience with simulation, profiling, or performance modeling, including familiarity with roofline analysis for LLM inference.
Strong analytical skills and a rigorous approach to experimentation and validation.
Strong software engineering skills and experience building reliable engineering tools using coding agents like Claude Code, Codex, etc.
Experience building agents that automate complex engineering workflows.
Knowledge of accelerator architecture and compute, memory, or communication bottlenecks.
Open-source contributions in agentic systems, simulation, or inference optimization.
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until October 13, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

None flagged.

Application prep

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Keywords to mirror

aillm

Platform: workday
Effort: long

Benefits

Benefits detected in the listing.

Vision