Principal Network Engineer

· Remote

Location

Remote

Type

Full Time

Job Description

Principal Network Engineer

Reposted 6 Hours Ago
Milpitas CA USA
Hybrid
Senior level
Artificial Intelligence • Semiconductor
Joining Graphcore gives you a seat at the top-table shaping the future of Artificial Intelligence.
The Role
The role involves validating rack-level firmware for ARM server platforms including developing test frameworks validating platform security features and ensuring production readiness through collaboration with engineering teams.
Summary Generated by Built In

Graphcore is a globally recognized leader in Artificial Intelligence computing systems. The company designs advanced semiconductors and data centre hardware that provide the specialized processing power needed to drive AI innovation while delivering the efficiency required to support its broader adoption.   

As part of the SoftBank Group Graphcore is a member of an elite family of companies responsible for some of the world’s most transformative technologies. We are opening a new AI Engineering Campus in Austin which will play a central role in Graphcore's work building the future of AI computing. 

RESPONSIBILITIES
  • Responsible for the maintaining all the network fabrics and network topologies operating at peak performance on Graphcore Data centers housing AI server platforms.
  • Collaborate closely with our Network architecture team through all phases of the design and development lifecycle — from concept to deployment — ensuring timely high-quality and stable high-speed network fabrics.
  • Primary support of deployed internal fabrics in our AI Datacenters.
  • Direct escalation for Hardware Link and Performance issues on network fabrics.
  • Escalation support for customer network fabrics (aligned to reference arch.)
  • Triage day-to-day network topologies (scale-up scale-out and front-end networks) issues of Fabrics deployed in Graphcore Datacenters.

REQUIREMENTS
  • Bachelor’s master’s degree or equivalent experience in Network Engineering/Security Information Technology Computer Science Computer engineering or a related field.
  • 9+ years of hands-on experience in network engineering and 3+ years supporting networking on AI or Hyperscale Datacenters.
  • Knowledge of Remote Direct Memory Access (RDMA) and its implementations specifically ROCEv2 or InfiniBand
  • Knowledge of Lossless network – Experience with congestion control and lossless Ethernet technologies including PDF ECN and DCQCN.
  • Versed in High-Bandwidth network infrastructure including experience with operating 400G and 800G network fabrics and tackling challenges at the physical layer for networks operating at these speeds. This includes familiarity with specific optical transceivers.
  • Experience sustaining non-blocking multi-tier CLOS networks (i.e. Spine / Leaf / Super-Spine) that are optimized for high-density GPU clusters.
  • Extensive troubleshooting experience for data center routing protocols such as BGP and OSPF as well as troubleshooting of VXLAN implementations.
  • Cross-Functional collaboration- The candidate must excel at working closely with network architects systems hardware engineers AI software engineers and Datacenter infrastructure teams to optimize the full stack from the application layer down to the Network infrastructure that includes controllers (NICs SmartNICs DPUs) network switches and cabling and optical transceiver operation in our Datacenter.

DIFFERENTIATORS
  • Deep hands-on experience with NetDevOps to automate tasks using tools such as Terraform or Ansible to manage network configurations and state.
  • Possess strong scripting skills such as Python Go or JSON to build custom automation interact with APIs and develop internal network tools.
  • Deep hands-on experience with modern high-performance hardware from network switch and NIC providers such as Broadcom Arista Cisco or Pensando.
  • Knowledgeable in Advanced Network Telemetry beyond traditional SNMP. Knowledgeable in telemetry protocols such as gNMI Sflow Netflow Redfish and Prometheus to characterize and detect transient congestion events micro-bursts in the network fabric or defective network hardware.

We welcome people of different backgrounds and experiences and are committed to building an inclusive work environment that makes Graphcore a great home for everyone. We are an equal opportunity employer and want to build a work environment where everyone is happy productive and respectful so they can do their best work. If you have a disability or additional need that requires accommodation just let us know.

pproach to interview and encourage you to chat to us if you require any reasonable adjustments. 

Top Skills

Arm
Ci/Cd
Firmware
Linux
Openbmc
Uefi

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The Company
HQ: Bristol
488 Employees
Year Founded: 2016

What We Do

At Graphcore we’re building the future of AI compute. We’re a team of semiconductor software and AI experts with deep experience in creating the complete AI compute stack - from silicon and software to infrastructure at datacenter scale. As part of the SoftBank Group backed by significant long-term investment we are delivering key technology into the fast-growing SoftBank AI ecosystem. To meet the vast and exciting AI opportunity Graphcore is expanding its teams around the world. We are bringing together the brightest minds to solve the toughest problems in a place where everyone has the opportunity to make an impact on the company our products and the future of artificial intelligence.

Why Work With Us

Our team is at the forefront of the machine intelligence revolution enabling innovators from all industries to build AI-native products to expand human potential. What we do at Graphcore really makes a difference.

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Graphcore Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

At Graphcore we value wellbeing and flexibility to support a healthy work/life balance. Our hybrid approach encourages office-based colleagues to work onsite three days a week with trusted flexibility built on trust and transparency for everyone.

Typical time on-site: 3 days a week
HQHeadquarters
Austin Office
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Cambridge Office
Gdańsk Office
Hsinchu Office
London Office
Learn more

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Date Posted

04/11/2026

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