# AI Infrastructure Engineer

Hiring organization: [Intel](https://career.thegoodapps.co/organizations/intel)

Canonical page: https://career.thegoodapps.co/jobs/9e38087f-18aa-455d-b460-70b9e3ebcb88

Listed on Intel's own careers site. Applications go to them directly.

- Employment type: full time
- Seniority: Mid
- Salary: 170500 – 315490 USD per year

## Summary

Intel is seeking a performance engineer to optimize Large Language Model inference on their next-generation GPUs, working across the full stack from kernel development to open-source framework contributions. This role suits engineers passionate about squeezing maximum throughput from hardware and collaborating with the broader AI infrastructure community.

_Our summary, not Intel's wording._

## Skills named

C++, CUDA, Python, PyTorch

## Required

- Bachelor's degree in Computer Science, Software Engineering, AI/ML or related field with 4+ years experience (or Master's with 3+ years, or PhD)
- 3+ years of software engineering experience in GPU computing, AI systems, or HPC
- Proficiency in modern C++ and Python
- Ability to read and modify complex systems-level code

## Nice to have

- CPU/GPU architecture knowledge
- Understanding of LLM architectures and inference paradigms (attention, KV caching, continuous batching, speculative decoding, prefill-decode disaggregation)
- Prior open-source contributions to vLLM, SGLang, PyTorch, or llama.cpp
- Experience writing and optimizing custom GPU kernels with Triton, SYCL, CUDA/CUTLASS, or similar DSLs
- Experience with multi-node inference orchestration
- Daily use of AI coding agents to accelerate workflow

Apply on Intel's site: https://intel.wd1.myworkdayjobs.com/en-US/External/job/US-California-Santa-Clara/AI-Infrastructure-Engineer_JR0286233