Graphcore Logo

Graphcore

Principal Technical Program Manager, Hardware Engineering

Posted Yesterday
Be an Early Applicant
Hybrid
Austin, TX, USA
Mid level
Hybrid
Austin, TX, USA
Mid level
Lead cross-functional programs for AI networking infrastructure, ensuring alignment between network architecture, hardware development, and operational readiness. Manage supplier relationships and oversee the technical roadmap for scalable AI infrastructure delivery.
The summary above was generated by AI
  • About us

    Graphcore is one of the world’s leading innovators in Artificial Intelligence compute! 

    It is developing hardware, software and systems infrastructure that will unlock the next generation of AI breakthroughs and power the widespread adoption of AI solutions across every industry. 

      

    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. Together, they share a bold vision: to enable Artificial Super Intelligence and ensure its benefits are accessible to everyone.  

      

    Graphcore’s teams are drawn from a diverse set of backgrounds and bring a broad range of skills and perspectives. A melting pot of AI research specialists, silicon designers, software engineers and systems architects, Graphcore enjoys a culture of continuous learning and constant innovation. 

     

     

    Job Summary

     

    We are seeking an experienced Network Program Manager to lead cross-functional programs focused on next-generation AI networking infrastructure, optical connectivity, and hyperscale datacenter technologies. 


    This role combines technical depth in networking and optical interconnect technologies with strong program leadership across engineering, operations, suppliers, manufacturing, and deployment organizations. The ideal candidate will drive alignment between network architecture, hardware development, optical connectivity suppliers, and the state of being operation-ready to ensure scalable, high-performance AI infrastructure delivery. 


    The person selected for this position brings strong experience managing complex networking programs involving high-speed interconnects, optical transceivers, silicon photonics, and hyperscale datacenter ecosystems.   This role requires close collaboration with network architects, systems engineers, AI infrastructure teams, suppliers, and manufacturing partners throughout the product lifecycle.



    The Team

    The System Engineering Program Management team is responsible for driving cross-functional execution and delivery of next-generation AI compute and networking systems across the full product lifecycle. The team partners closely with architecture, hardware, networking, software, operations, and supply chain organizations to coordinate complex engineering programs, align technical and business priorities, manage dependencies and risks, and ensure scalable, high-quality system deployment for Graphcore’s AI infrastructure platforms. 


    Responsibilities and Duties

    • Lead cross-functional network infrastructure programs from concept through deployment and operational readiness 
    • Coordinate engineering execution across networking, optical connectivity, systems hardware, operations, manufacturing, and supplier teams 
    • Drive program schedules, technical milestones, dependency tracking, risk management, and executive reporting 
    • Partner with network architecture and hardware engineering teams on development and deployment of high-speed network solutions 
    • Lead supplier engagement and roadmap alignment for optical connectivity and networking infrastructure components 
    • Coordinate qualification, validation, and production readiness activities for networking and optical technologies 
    • Support deployment and scaling of AI datacenter networking infrastructure including high-bandwidth optical interconnect solutions 
    • Align networking technology roadmaps with operational scalability, supply chain resilience, quality, and cost objectives 
    • Collaborate with hyperscale datacenter customers, ecosystem partners, and industry standards organizations where required 
    • Facilitate collaboration across geographically distributed engineering and operations teams 
    • Drive issue escalation and cross-functional resolution for complex technical and operational challenges 
    • Support continuous improvement initiatives for networking deployment processes and infrastructure program execution 

    Candidate Profile

    Essential:

    • Bachelor’s degree or equivalent experience in Engineering, Physics, Computer Engineering, Computer Science, or related technical discipline 
    • Proven experience in technical program management, product management, or engineering leadership within networking, optical connectivity, or datacenter infrastructure environments 
    • Strong understanding of AI and hyperscale datacenter networking technologies 
    • Experience with high-speed optical interconnect technologies  
    • Experience leading cross-functional programs involving hardware, software, networking, operations, and supplier organizations 
    • Proven ability to manage external supplier relationships and drive technical roadmap alignment 
    • Experience coordinating product lifecycle activities from architecture and development through qualification and deployment 
    • Strong communication and stakeholder leadership skills across executive, engineering, and external partner organizations 
    • Experience operating within fast-paced, highly technical infrastructure environments 

    Desirable

    • Knowledge of networking protocols and infrastructure technologies including Ethernet, PCIe, UCIe, RDMA, RoCEv2, or related high-performance interconnect technologies
    • Experience with silicon photonics, optical compute interconnects, or co-packaged optics technologies
    • Familiarity with AI networking architectures and large-scale GPU/accelerator cluster infrastructure
    • Knowledge of hyperscale datacenter operations and network fabric deployment
    • Experience collaborating with organizations that develop technical standards such as IEEE, OIF, PCI-SIG, or related consortiums
    • Background in supplier sourcing strategy, manufacturing ramp, or operational scaling
    • Experience supporting networking infrastructure for AI or HPC platforms
    • Understanding of advanced networking telemetry, optical diagnostics, or infrastructure resiliency strategies

    This role sits at the intersection of AI infrastructure, networking innovation, and large-scale systems execution. The successful candidate will help drive the future wave of high-performance AI networking platforms. They will coordinate the technologies, teams, and supplier ecosystems vital to deliver world-class infrastructure at scale!

     

 

Benefits  
 
In addition to a competitive salary, Graphcore offers a competitive benefits package. We welcome people of different backgrounds and experiences; we’re committed to building an inclusive work environment that makes Graphcore a great home for everyone. We offer an equal opportunity process and understand that there are visible and invisible differences in all of us. We can provide a flexible approach to interview and encourage you to chat to us if you require any reasonable adjustments.  

Graphcore Austin, Texas, USA Office

Graphcore Austin Office Office

Austin, TX, United States

Similar Jobs at Graphcore

16 Hours Ago
Hybrid
Austin, TX, USA
Senior level
Senior level
Artificial Intelligence • Semiconductor
The People Lead in the US region will be responsible for strategic business partnering, employee relations, and building the people model while supporting leadership and improving the employee experience in a fast-paced environment.
Top Skills: People OperationsUs Employment Law
16 Hours Ago
Hybrid
Austin, TX, USA
Senior level
Senior level
Artificial Intelligence • Semiconductor
The Senior Thermal Engineer will design and develop liquid cooling solutions for AI data center hardware, ensuring compliance with thermal specifications. Responsibilities include leading design processes, performing thermal simulations, collaborating with vendors, and validating thermal solutions for performance and efficiency.
Top Skills: AnsysComsolFlowtherm
Yesterday
Hybrid
Austin, TX, USA
Expert/Leader
Expert/Leader
Artificial Intelligence • Semiconductor
Develop and manage software interfaces for rack management solutions, ensuring robust performance in AI systems and infrastructure. Collaborate across teams to enhance operational efficiency, employing skills in cloud-native environments and troubleshooting.
Top Skills: AnsibleBashCephCi/CdDockerElasticsearchFluentdGithub ActionsGitlabGoGrafanaInfrastructure-As-CodeKafkaKubernetesKvmLinuxLokiMimirOpen VswitchOpensearchOpentelemetryPrometheusPythonQemuRedfishRestful ApiSlurmTerraform

What you need to know about the Austin Tech Scene

Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.

Key Facts About Austin Tech

  • Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
  • Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
  • Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
  • Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
  • Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account