Edgecortix
EdgeCortix is seeking a passionate Machine Learning Engineer to work on hardware and AI integration, focusing on deploying neural networks on their proprietary edge AI platform. The role involves collaboration across hardware, software, and customer deployment activities to advance AI at the edge.
EdgeCortix is a hardware and software company that develops energy‑efficient AI processors and acceleration solutions for running advanced models at the edge. Its flagship SAKURA‑II accelerator is marketed as a highly flexible, low‑power AI accelerator designed to bring the next wave of generative AI to edge devices. EdgeCortix pairs silicon IP with compilers, SDKs and model‑optimization tools to help device makers and semiconductor partners deploy high‑performance, power‑efficient inference and generative workloads in embedded, industrial and consumer applications.
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 Edgecortix.
27% below the average for this role
Research Engineer, Optimization
Helm.ai
Machine Learning Eng 4
Lattice Semiconductor
Machine Learn Eng 4
Lattice Semiconductor
Applied Research Engineer
Netflix
Machine Learning Eng 4
Lattice Semiconductor
Sr Engineer Machine Learning Engineering Ml Apps San Diego California United States Of America
Qualcomm Incorporated