Software Engineer, Agent Performance Modeling - New College Grad 2026
NVIDIA
- Pay
- $124K to $241.5K
- a year
- Location
- Santa Clara, CA
- Work style
- On-site
- Job type
- Full time
- Posted
- Oct 20
- 2 days ago
Career path
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About the company
NVIDIA
Computer hardware · 10,001+ employees
Today, NVIDIA is tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts 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 an inclusive, encouraging environment where everyone is inspired to do their best work. Come join the team and see how we can make a lasting impact on the world.
What you'll do
- Build and validate performance models for LLM architectures across GPU, LPU, and heterogeneous systems
- Develop agents to automate simulation workflows
- Analyze bottlenecks and accelerate design space exploration
- Collaborate with hardware architecture, inference, runtime, and compiler teams
- Improve modeling accuracy and guide optimization
What you need
- Recently completed a MS in Computer Science or a related field, or equivalent experience
- Familiarity with modern LLM architectures and their inference characteristics
- Experience with simulation, profiling, or performance modeling, including roofline analysis for LLM inference
- Strong analytical skills and a rigorous approach to experimentation and validation
- Experience building reliable engineering tools using coding agents
- Experience building agents that automate complex engineering workflows (preferred)
- Knowledge of accelerator architecture and compute, memory, or communication bottlenecks (preferred)
- Open-source contributions in agentic systems, simulation, or inference optimization (preferred)
- Education: a postgraduate degree
Key skills
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Perks
- equity
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