coreflow
The role focuses on owning the model inference stack end‑to‑end, delivering low‑latency, high‑throughput serving for in‑house and open‑source models to tens of millions of users. The engineer will build high‑throughput inference servers, optimise GPU utilisation with batching, quantisation and custom CUDA kernels, and productionise LoRAs and other models.
Headquarters
Sydney, New South Wales, Australia
Company Size
1-10 employees
Founded
2025
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 coreflow.
130% above the average for this role