Remote Inference Engine Engineer - LLMs & Diffusion

Inferact; United States; Remote; USD 130,000 - 180,000; Full time

Job summary

Inferact is seeking an inference runtime engineer to push the boundaries of LLM and diffusion model serving. You will optimize how models execute across diverse hardware and architectures, contributing to the core of vLLM and related projects.

This fully remote role offers salary plus equity, visa sponsorship on a case-by-case basis, and comprehensive benefits. Regular overlap with Pacific Time is expected for critical syncs.

Qualifications

• Bachelor's degree or equivalent experience in computer science, engineering, or similar.
• Deep understanding of transformer architectures and their variants.
• Strong programming skills in Python with experience in PyTorch internals.
• Experience with LLM inference systems (vLLM, TensorRT-LLM, SGLang, TGI).
• Ability to read and implement model architectures and inference techniques from research papers.
• Demonstrate the ability to contribute performant and maintainable code and debug in complex ML codebases.

Skills

Python programming

PyTorch internals

Transformer architectures

LLM inference systems

Reading research papers

Debug ML codebases

Education

Bachelor's degree or equivalent experience in CS/Engineering

Tools

vLLM

TensorRT-LLM

SGLang

TGI

Job description

Inferact is seeking an inference runtime engineer to push the boundaries of LLM and diffusion model serving. You will optimize how models execute across diverse hardware and architectures, contributing to the core of vLLM and related projects.

This fully remote role offers salary plus equity, visa sponsorship on a case-by-case basis, and comprehensive benefits. Regular overlap with Pacific Time is expected for critical syncs.