Inference
Inference.net is seeking a technical expert to optimize and accelerate AI inference systems using GPU and CUDA technologies. The role involves deep technical work on the full inference stack, aiming to improve performance, latency, throughput, and cost efficiency of large language model serving. It offers an opportunity to work on cutting-edge AI infrastructure in a collaborative startup environment.
Headquarters
San Francisco, California, United States
Company Size
1-10 employees
Founded
2023
Inference.net is an AI infrastructure platform built for AI-native engineering teams, offering a suite of tools to deploy, monitor, trace, train, and evaluate large language models in production. Their platform provides fully managed model hosting with high uptime, LLM observability across any provider, fine-tuning workflows, and continuous evaluation pipelines — all designed to reduce cost and latency at scale. Inference.net also offers open-source tooling such as HALO for agent optimization, and supports custom and fine-tuned model deployment across public, private, and hybrid cloud environments.
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Sarah Johnson
Chief Executive Officer
Michael Chen
Chief Technology Officer
Emily Williams
VP of Engineering
David Rodriguez
VP of Product
Jessica Thompson
Chief Financial Officer
Andrew Park
VP of Sales
View leadership team, funding history,
and employee contacts for Inference.