--- title: 'Director, Logical Design at Graphcore' canonical: 'https://feeny.ai/job/director-logical-design-graphcore-bengaluru-876bbm6xanfz' type: 'job' last_seen: '2026-10-27' --- # Director, Logical Design at Graphcore - **Company:** Graphcore - **Location:** Bengaluru, India - **Posted:** 2026-10-26 - **Last confirmed live:** 2026-10-27 - **Apply:** https://job-boards.greenhouse.io/graphcore/jobs/8908503002 ## Job description Job Summary Our team is at the forefront of the artificial intelligence revolution, enabling innovators from all industries and sectors to expand human potential with technology. The availability of specialised artificial intelligence compute will be a decisive factor in AI’s rate of progress. Graphcore allows innovators to go further, faster. What we do really makes a difference. We are looking for an experienced engineering leader to drive the design and development of complex, high-performance SoCs for next-generation AI acceleration platforms. The role combines strong technical expertise with people leadership and engineering execution, requiring the ability to guide technical decisions, build high-performing teams and deliver high-quality silicon solutions. The Team The SoC Design team is responsible for the RTL design, development and integration of critical subsystems within Graphcore’s AI acceleration platforms. The team works closely with architecture, verification, DFT and physical design teams throughout the silicon development lifecycle, from microarchitecture through implementation and sign-off. ## Responsibilities and Duties - Provide technical leadership for microarchitecture, RTL design and SoC integration, driving design decisions and trade-offs across functionality, performance, power and area. - Lead engineering execution and delivery of complex SoC designs, ensuring alignment with project milestones, quality objectives and tapeout schedules. - Drive design quality and implementation readiness, including CDC/RDC, synthesis, timing closure and physical implementation considerations. - Collaborate with architecture, verification, DFT and physical design teams to resolve complex technical challenges and ensure successful silicon delivery. - Identify and manage technical risks, resource requirements and cross-functional dependencies to ensure effective project execution. - Build, lead and develop a high-performing engineering team through coaching, mentoring, performance management and talent development. - Drive continuous improvement in design methodologies, engineering processes and team productivity. - Represent the design team in technical reviews, project planning and cross-functional discussions, ensuring alignment with broader engineering objectives. Candidate Profile Essential: - Degree in Electronic Engineering, Computer Science or a related discipline with 18+ Years of experience - Extensive experience in ASIC/SoC design and development, including technical leadership and engineering management. - Proven experience leading engineering teams through multiple complex SoC tapeouts, with end-to-end ownership of design execution and delivery. - Strong expertise in digital design, microarchitecture, RTL development and complex SoC integration. - In-depth knowledge of Verilog/SystemVerilog, SoC interconnect protocols and clock/reset architectures. - Good understanding of synthesis, static timing analysis, CDC/RDC, low-power design and physical implementation considerations. - Demonstrated ability to manage technical risks, schedules, resources and cross-functional dependencies across complex silicon development programs. - Proven experience in building, managing and developing high-performing engineering teams. - Strong technical judgement, problem-solving and decision-making skills. - Excellent communication, stakeholder management and collaboration skills, with experience working across globally distributed teams. Desirable - Experience in high-performance, multicore or AI accelerator SoC development. - Experience with advanced process technologies and physically aware RTL design. - Knowledge of DFT methodologies, low-power design and multi-voltage domain integration. - Experience with multi-die or chiplet-based SoC architectures. - Knowledge of high-speed interfaces such as PCIe, DDR and Ethernet. - Experience in silicon bring-up, post-silicon debugging and ECO implementation. Experience driving engineering methodology improvements and design automation ## 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. 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