AI Performance Engineer
Cornelis Networks
About this role
Cornelis Networks is seeking an AI Performance Engineer to enhance and optimize distributed AI workloads on high-performance networking hardware and systems. The role involves benchmarking, tuning, and developing performance strategies across various hardware and software stacks, with a focus on AI and HPC data centers.
Skills
Qualifications
About Cornelis Networks
cornelis.comCornelis Networks builds the world's first lossless, zero-congestion network engineered for AI and high-performance computing (HPC). Their networking solution eliminates congestion to deliver higher throughput, lower latency, and predictable scaling for GPU/accelerator clusters running large-scale training and inference workloads. By addressing traffic patterns that break legacy fabrics, Cornelis unlocks better hardware utilization and performance for data centers and AI infrastructure operators.
About Cornelis Networks
Headquarters
San Francisco, CA
Company Size
201-500 employees
Founded
2018
Industry
Technology
Glassdoor Rating
4.2 / 5
Leadership Team
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
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View leadership team, funding history,
and employee contacts for Cornelis Networks.
Salary
$150k – $180k
per year
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