---
title: 'Senior Supply Chain Manager at Graphcore'
canonical: 'https://feeny.ai/job/senior-supply-chain-manager-graphcore-milpitas-c0eez6r3grkd'
type: 'job'
last_seen: '2026-10-20'
---

# Senior Supply Chain Manager at Graphcore

- **Company:** Graphcore
- **Location:** Milpitas, CA
- **Posted:** 2026-06-29
- **Last confirmed live:** 2026-10-20
- **Apply:** https://job-boards.greenhouse.io/graphcore/jobs/8597792002

## Job description

## About Graphcore

Graphcore is a global leader in artificial intelligence computing systems. We design advanced semiconductors and data center hardware that deliver the specialized processing power needed to advance AI while improving the efficiency required for broad adoption.

As part of SoftBank Group, Graphcore belongs to a family of companies developing some of the world's most transformative technologies. Our U.S. operations play an important role in building the future of AI computing.

The Opportunity

As Supply Chain Manager, you will lead end-to-end supply chain execution, supplier delivery performance, and program operations for critical networking, interconnect, and hardware platforms. You will align demand, material readiness, build plans, factory capacity, and delivery commitments with manufacturing ramp schedules across Graphcore's global operations.

This role combines hands-on execution with strong operational and financial judgment. You will partner with Engineering, Product, Manufacturing, Quality, Finance, Procurement, and external suppliers and integrators to manage complex dependencies, support new product introduction (NPI), and scale reliable supply chain processes.

## What You'll Do

- Lead day-to-day operational engagement and performance management with global component suppliers, contract manufacturers, and rack-level system integrators.
- Manage supplier allocation, material availability, factory readiness, line capacity, build schedules, and final system delivery commitments for laboratory testing, validation, and deployment ramps.
- Aggregate demand signals across Engineering, Product, Manufacturing, and other internal teams to create aligned forecasts, build plans, and target commitments for suppliers and integration sites.
- Drive supply chain readiness and factory ramp execution through NPI milestones, including engineering validation testing (EVT), design validation testing (DVT), and production validation testing (PVT).
- Monitor component and system-level constraints, lead times, shortages, and delivery risks; establish recovery actions, escalation paths, and clear owners to protect program milestones.
- Establish standardized workflows for purchase order placement, open-order tracking, inventory reconciliation, and excess and obsolete (E&O) inventory management using centralized systems and clear buyer ownership.
- Build and maintain operational plans, supplier scorecards, dashboards, budgets, and forecasts that provide clear visibility into delivery, capacity, inventory, cost, and risk.
- Partner with suppliers and internal stakeholders to improve lead times, schedule performance, fulfillment, data accuracy, and overall supply chain efficiency.
- Translate complex operating metrics, financial performance, tradeoffs, and risk assessments into concise executive updates and timely senior-level escalations.

## What You'll Bring

- 7 or more years of relevant experience in supply chain management, supplier operations, procurement, manufacturing operations, or a related field supporting complex hardware products.
- Experience in one or more relevant environments, such as AI infrastructure, data center systems, enterprise hardware, networking, high-performance computing, semiconductors, or similarly complex electronics.
- Direct experience managing contract manufacturers, system integrators, hardware component suppliers, or comparable manufacturing partners.
- Working knowledge of component forecasting and delivery for networking, interconnect, or related hardware, such as network interface cards, switches, cables, connectors, optics, or custom components.
- A demonstrated record of improving delivery schedules and lead times while managing supplier dependencies, material constraints, and operational risks.
- Experience managing substantial budgets, inventory, delivery commitments, supplier performance, and execution across multiple programs or sites.
- Strong analytical and financial acumen, with the ability to translate demand, supply, inventory, cost, and capacity data into clear operating decisions.
- Ability to lead through influence, navigate ambiguity, solve complex operational problems, and align Engineering, Product, Manufacturing, Quality, Finance, and Procurement stakeholders.
- Clear written and verbal communication skills, including the ability to present metrics, risks, recovery plans, and recommendations to executive audiences.
- A bachelor's degree in supply chain management, business, engineering, or a related field, or equivalent practical experience.

## Preferred Qualifications

- Experience with rack-level system integration and full-system fulfillment.
- Experience supporting product introductions and manufacturing ramps for advanced computing, networking, or data center hardware.
- Experience with enterprise resource planning, purchasing, order-management, inventory, or supplier-performance systems.
- A master's degree or MBA.

These qualifications are helpful, not mandatory. We encourage you to apply even if you do not meet every preferred qualification.

U.S. Benefits Overview

Graphcore offers competitive compensation and a benefits package designed to support employees' health, financial well-being, families, flexibility, and development. Benefits for eligible U.S. employees may include:

- Medical, dental, and vision coverage, together with mental health and well-being support.
- A 401(k) retirement plan with company matching, plus company-provided life and disability coverage.
- Flexible paid time off, paid company holidays, flexible working hours, and parental leave.
- Learning and career development support, including development plans, training allowances, and online learning resources.
- Office amenities and team-led social, community, and well-being activities.

Benefits vary by work location, employment status, and plan eligibility and are subject to the terms of the applicable plans and company policies. This overview is not a contract or guarantee of benefits.

## Equal Opportunity and Accommodations

Graphcore is an equal opportunity employer. We consider qualified applicants without regard to race, color, religion, creed, sex, pregnancy, sexual orientation, gender identity or expression, national origin, ancestry, age, disability, genetic information, veteran status, or any other status protected by applicable law.

Graphcore is committed to an inclusive and accessible hiring process. If you need a reasonable accommodation to participate in the application or interview process, please let the recruiting team know.

Candidate Privacy

Personal information submitted during the recruiting process will be handled in accordance with Graphcore's applicable candidate privacy notices.

## About Graphcore

## Company Overview
- **One-liner**: Graphcore designs and builds the Intelligence Processing Unit (IPU), a processor purpose-built for machine intelligence, and provides a complete AI compute stack from silicon to software.
- **Entity Type**: Private (wholly owned subsidiary of SoftBank Group Corp as of 2025/2026)
- **Headquarters**: Bristol, England, UK
- **Founded**: 2016
- **Founders**: Nigel Toon and Simon Knowles

## Core Business
- **Primary industry**: AI hardware/accelerators, semiconductor design, AI software platform
- **Target customers**: Cloud providers (Microsoft Azure), enterprises, AI researchers, hyperscalers
- **Mission statement**: “Let innovators create the next breakthroughs in machine intelligence to enhance human potential”

## Products & Services
- **[IPU (Intelligence Processing Unit)](https://www.graphcore.ai/)**: A processor designed from the ground up for machine intelligence workloads; uses a massively parallel architecture (MIMD) with fine-grained compute and on-chip memory.
- **[IPU-Machine M2000](https://www.graphcore.ai/about)**: Second-generation IPU platform – a 1U server appliance housing 4 MK2 GC200 IPU processors, delivering an 8× performance uplift over the first generation.
- **[C2 IPU Accelerator PCIe Card](https://www.graphcore.ai/about)**: PCIe form factor accelerator for server integration, first demonstrated at ICML 2018.
- **[Poplar Software Stack](https://www.graphcore.ai/)**: Full SDK and framework integration (PyTorch, TensorFlow) that lets developers target the IPU directly.

## Market Standing
- **Valuation/Market Cap**: Acquired by SoftBank Group Corp (amount undisclosed); prior to acquisition valued at $2.77 B (Series E, lead by Ontario Teachers’ Pension Plan Board).
- **Key Metric**: Total funding raised prior to acquisition – over $680 M across Series A through E.
- **Notable Investors/Partners**: SoftBank (owner), Microsoft (customer and investor), BMW, Samsung, Dell Technologies, Bosch, Sequoia Capital, Atomico, Fidelity, Baillie Gifford, Ontario Teachers’.
- **Growth Signals**: Part of the fast-growing SoftBank AI ecosystem; expanding teams globally (Bristol, London, Cambridge, Gdańsk, Hsinchu, Bengaluru); first customer (Microsoft Azure) live since 2018.

## Competitive Advantages
- **First purpose-built AI processor**: The IPU architecture is fundamentally different from GPUs – designed specifically for the sparse, parallel nature of neural network computation.
- **Full stack ownership**: Graphcore controls silicon, system hardware, and software (Poplar), enabling tight optimisation across the entire compute chain.
- **Cloud + on‑prem availability**: IPUs are available in the cloud on Microsoft Azure and as hardware from Dell, giving customers flexible deployment options.
- **Strong IP and ecosystem**: 99+ engineering staff; deep expertise in semiconductor, systems, and AI software, backed by long-term SoftBank investment.

## Strategic Focus
- **Scale AI infrastructure**: Delivering key technology into SoftBank’s global AI ecosystem and expanding the IPU platform to meet growing demand for AI compute.
- **Expand into new regions**: Opening offices and hiring in India (Bengaluru) and across Europe (Gdańsk, London, Cambridge) to accelerate R&D and customer support.
- **Democratise AI**: Continuing to lower the barrier for machine intelligence by providing accessible, high-efficiency hardware and software for innovators worldwide.

## Why Work Here
- **Flexible hybrid work**: Employees are expected on-site three days a week, with trust and flexibility to balance work and life.
- **Comprehensive benefits**: Unlimited annual leave, private medical insurance (UK), dental & health cash plan, income protection, life assurance, pension matched up to 5%, generous parental leave, and a personal development plan.
- **Culture and growth**: ML reading groups, board game socials, book clubs, yoga, running, watersports, team events; strong DE+I initiatives; ambitious but supportive environment.
- **Perks**: Free barista‑made coffee, snacks, and wellbeing rooms; cycle‑to‑work scheme; gym membership discount; education/training allowances.
- **Purpose-driven work**: Opportunity to shape the future of AI compute and see your contributions used by global innovators.

## Sources
1. [graphcore.ai/about](https://www.graphcore.ai/about)
2. [graphcore.ai/](https://www.graphcore.ai/)
3. [graphcore.ai/careers](https://www.graphcore.ai/careers)
4. [graphcore.ai/jobs](https://www.graphcore.ai/jobs)
5. [builtin.com/company/graphcore](https://builtin.com/company/graphcore)

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