Sciforium
Sciforium is seeking a Distributed Training and Inference Engineer to build, optimize, and maintain the critical software stack powering large-scale AI training and serving workloads. The role involves deep systems engineering across the ML stack, from low-level CUDA/ROCm runtimes to high-level frameworks like JAX and PyTorch, ensuring fast, scalable, and stable distributed systems. You will work on end-to-end stack ownership, system integration, and performance profiling to enable the deployment of next-generation LLMs and generative AI models.
Headquarters
San Francisco, California, United States
Sciforium is an AI infrastructure platform that provides API access to state-of-the-art AI models across text, image, video, and audio modalities. Built on its own AMD hardware, it offers a low-cost, OpenAI-compatible API for deploying production-ready AI applications at scale. The platform also includes coming-soon features such as model evaluation pipelines and native agent orchestration.
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 Sciforium.
28% above the average for this role