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Software Engineer, Agent Performance Modeling - New College Grad 2026
NVIDIA
US, CA, Santa Clara · On-site · relocation$10,333–20,125 gross/mofull-timeNVIDIA Careers (offices abroad)
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.
Responsibilities
- 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
- 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.
- Ways to stand out from the crowd
Languages
- Work format
- On-site
- Seniority
- Junior
- Posted
- 20 Oct 2026
- Last verified
- In the last 5 days
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