Principal Systems Engineer
Graphcore(11 days ago)
About this role
Graphcore is hiring a Systems Engineer focused on network interconnects for blade- and rack-level systems to support its AI computing hardware. The role contributes to the design, analysis and optimization of physical and logical interconnections among compute, storage, and accelerator components in high-performance AI systems. This position will be based at Graphcore’s new AI Engineering Campus in Austin and supports datacenter, HPC, and cloud-scale infrastructure projects.
Required Skills
- Rack Networking
- Network Fabrics
- High-Speed Interconnects
- Ethernet
- InfiniBand
- QSFP OSFP
- Layer 1-3
- Simulation Tools
- Performance Tuning
- Bottleneck Analysis
+6 more
Qualifications
- Bachelor’s Degree in Electrical or Computer Engineering
- Master’s Degree in Electrical or Computer Engineering
- 5+ Years Experience
About Graphcore
graphcore.aiGraphcore is a semiconductor and systems company that designs the Intelligence Processing Unit (IPU), a processor architecture purpose-built for machine intelligence to accelerate machine learning and AI workloads. It offers IPU-based servers and cloud access together with the Poplar software stack, compilers and developer tools to run training and inference at scale and integrate with common ML frameworks. Graphcore’s platform targets researchers and enterprises that need higher performance, efficiency and scalability for large models and intelligent applications across cloud and on‑prem deployments.
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