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LLM & Agentic AI Performance Engineer

  • Lead or staff
  • Hybrid
  • Full time
  • 10+ years
  • Day shift
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About the role

Intel's Data Center AI organization optimizes AI workloads and solutions for Intel platforms. You will characterize and optimize LLM and agentic AI performance across software, Linux, system architecture and hardware.

What you'll do

  • Characterize and optimize LLM and agentic AI workloads across the stack
  • Identify bottlenecks in frameworks, runtimes, Linux, memory and hardware
  • Develop hardware-aware optimizations for AI frameworks and runtimes
  • Optimize inference techniques including KV-cache management and quantization
  • Analyze platform performance with counters, profiling tools and modeling
  • Contribute performance improvements upstream and create reusable optimization guidance

Skills

Must have

  • Python
  • C++
  • Performance engineering
  • Systems optimization
  • Workload characterization
  • Linux performance analysis
  • Server architecture
  • Memory optimization
  • Numa

Nice to have

Tools

  • Vllm
  • Sglang
  • Tgi
  • Vtune
  • Emon
  • Perf
  • Ebpf
  • Ftrace
  • Openvino
  • Langgraph

Who it's for

Education
Engineering degree
Degree
computer science, computer engineering, electrical engineering
Experience
10+ years
Domain
ai infrastructure

About Intel

Intel has 33 open roles in Bangalore, at Intel India, Sarjapur Ring Road campus (SRR). See every Intel role.

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