Elastix AI
ElastixAI is seeking a highly technical AI Compiler & Performance Engineer to design and implement compiler infrastructure, kernel optimizations, and hardware-software co-design for large language model inference. The role involves end‑to‑end ownership of performance improvements across the stack, from high‑level graph transformations to custom kernel generation, working closely with ML researchers and hardware architects.
Headquarters
Seattle, Washington, United States
Company Size
1-10 employees
Founded
2025
Elastix AI is a Seattle-based AI infrastructure company that co-designs reconfigurable hardware (FPGAs), system software, and model-level optimization as a unified stack to deliver scalable, energy-efficient AI inference. Their solutions enable 10x+ more tokens per dollar and up to 80% lower power consumption compared to traditional GPU-based deployments. Elastix AI targets the growing AI inference market by eliminating the cost, energy, and flexibility barriers of conventional hardware architectures.
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 Elastix AI.
Elastix AI didn’t post a salary, so this is our estimate from similar listings.
41% above the average for this role
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