Systems Performance Engineer, Agentic AI Workloads – New College Grad 2026
US, CA, Santa Clara, United States
USD 124K-241K Senior-level Full Time
Tasks
- Apply statistical techniques to interpret results
- Characterize real world LLM serving workloads
- Collaborate with hardware, software, and research teams
- Develop C++ and Python simulators
- Identify performance bottlenecks
- Model network and compute traffic for agentic LLM workloads
- Provide architectural recommendations
- Run simulations at scale
Perks/Benefits
- N/A
Skills/Tech-stack
C++ | Clustering | Data Pipelines | Data Visualization | Deep learning | Erlang | K-Means | LLM Inference | Language Models | Large Language Models | Little's Law | Python | Queueing Theory | Roofline modeling | Statistics | Traffic modeling
Education
Regions
Countries
States
Cities
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