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© All Rights Reserved. ApplyBlast.com
Axelera AI
This role involves investigating the performance of ML inference systems across the full stack, from model export to runtime execution on silicon. The engineer will develop a repeatable evaluation methodology, build tooling for performance visualization, and synthesize findings into reports that inform product decisions. The position focuses on benchmarking, platform evaluation, and pipeline analysis to drive evidence-based improvements.
Headquarters
Eindhoven, North Brabant, Netherlands
Company Size
51-200 employees
Founded
2021
Axelera AI builds AI inference hardware and software designed for both datacenter-scale performance and edge efficiency. Its AI processing unit is a cost-effective and efficient inference chip that seamlessly integrates into customers’ innovations. The goal is to bring data insights to the edge, boosting the performance of solutions so teams can focus on their customers. The company positions itself around datacenter performance and edge efficiency to enable scalable, real-time AI deployments.
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 Axelera AI.
Axelera AI didn’t post a salary, so this is our estimate from similar listings.
51% above the average for this role
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