Jobs at Graphcore

The Validation Chief of Staff coordinates strategic execution, planning, reporting, and cross-functional activities across silicon validation and bring-up teams. Responsibilities include tracking milestones, risks, dependencies, metrics, and technical issues; supporting leadership reviews; improving workflows and communication; coordinating distributed engineering teams; and driving process improvements. The role requires strong silicon validation knowledge, technical understanding of SoC and platform lifecycles, operational coordination, stakeholder management, Linux and Python familiarity, and occasional travel up to 25%.

Develop and extend low-level diagnostics and stress-testing software for next-generation AI SoCs. Build configurable tools that validate CPUs, memory, interconnects, PCIe, firmware, storage, and other platform components; expose intermittent failures and silent data corruption; automate testing across server and rack-scale environments; and improve observability and fault isolation. Collaborate with hardware, firmware, software, and validation teams to support silicon bring-up, performance characterization, and platform reliability.

Develop and extend system-level diagnostics, stress-testing software, and validation tools for next-generation AI SoCs. Build configurable utilities that identify hardware failures, silent data corruption, performance issues, and reliability problems across CPUs, memory, PCIe, firmware, storage, networking, and accelerators. Collaborate with hardware, firmware, and validation teams on silicon bring-up, fault isolation, automation, observability, and platform debugging across multiple systems and silicon revisions.

Leads advanced troubleshooting, hardware bring-up, validation, and root-cause analysis for Arm-based AI compute platforms, including server blades, motherboards, power systems, and rack-scale infrastructure. Diagnoses thermal, power, networking, BIOS, and BMC issues; supports qualification and deployment; develops troubleshooting documentation; collaborates with engineering and data center teams; mentors junior staff; and participates in on-call support.

Lead advanced troubleshooting, hardware bring-up, validation, and root-cause analysis for Arm-based AI compute platforms across laboratory and data center environments. Diagnose server, power, thermal, network, BIOS, and BMC issues; support qualification and deployment of rack-scale infrastructure; develop troubleshooting documentation; collaborate with engineering and facilities teams; and mentor junior staff. Participate in on-call support during critical hardware milestones.

Defines the architecture and roadmap for shared test automation frameworks validating AI hardware platforms. Develops scalable test components, automated suites, CI/CD integrations, data pipelines, and observability tools. Leads cross-layer debugging across software, firmware, hardware, and lab infrastructure; improves test reliability, speed, and reproducibility. Partners with cross-functional engineering and manufacturing teams, establishes standards, mentors engineers, reviews designs and code, and provides Principal-level technical direction.

Provides technical leadership for mechanical infrastructure supporting high-performance computing data centers. Owns design standards, reviews HVAC and cooling systems, coordinates multidisciplinary interfaces, directs consultants and suppliers, evaluates reliability and efficiency, and supports inspections, commissioning, factory acceptance testing, and operational handover. Guides engineers and assesses emerging cooling and heat-rejection technologies for future deployments.

Design, develop, and deploy UEFI firmware for hyperscale AI server platforms. Responsibilities include platform initialization, hardware configuration, security features, RAS capabilities, telemetry, firmware updates, CI/CD integration, and system management interfaces. The role partners with hardware, silicon, BMC, ODM, security, and validation teams, while debugging firmware and hardware issues across laboratory and production environments.

Develop system-level diagnostics, stress-testing software, and validation utilities for next-generation AI SoCs. The role involves extending Arm diagnostics, testing CPUs, memory, PCIe, storage, firmware, and accelerators, debugging hardware-software interactions, automating validation across platforms, analyzing failures, and improving observability and fault isolation. Collaboration with hardware, firmware, software, and validation teams is central to supporting silicon bring-up and platform reliability.

Validate signal and power integrity for advanced compute platforms through hands-on measurement, electrical compliance testing, troubleshooting, and simulation correlation. Develop measurement plans and fixtures, measure high-speed interconnect performance, perform calibration and de-embedding, correlate results with simulations, collaborate with silicon, package, board, system, and vendor teams, and produce validation and compliance reports.

Analyze and optimize AI training and inference workloads across distributed systems. Design benchmarks, profile performance, identify bottlenecks, and optimize communication software using MPI, NCCL, UCX, libfabric, and RDMA. Translate modeling and benchmarking results into validated system improvements while coordinating technical work across hardware, software, networking, and architecture teams.

Lead performance strategy for large-scale AI training and inference systems. Investigate workload behavior, profiling, benchmarking, modeling, distributed communication, and multi-node scaling across hardware and software. Define measurement standards, guide optimization roadmaps, review C++ and Python tools, and influence system architecture and engineering priorities across teams.

Lead a multi-site team responsible for functional post-silicon validation of AI SoCs and platforms. Plan and debug bare-metal C/C++ tests, deploy validation on first silicon, build Python automation and regression frameworks, analyze failures, improve test infrastructure, collaborate across hardware, firmware, software, and systems teams, and provide technical guidance and feedback to architects.

Develop and extend low-level diagnostics and stress-testing software for next-generation AI SoCs. Build configurable validation tools covering CPUs, AI accelerators, memory, PCIe, storage, firmware, BMC, and other platform components. Investigate hardware failures, silent data corruption, timing issues, and system instability across multiple silicon revisions and environments. Collaborate with hardware, firmware, software, and validation teams to improve observability, fault isolation, silicon bring-up, and platform reliability.

Lead end-to-end hardware and firmware security architecture for Arm-based AI server platforms. Define trusted computing, secure boot, attestation, cryptographic key management, lifecycle controls, interface security, and threat mitigations across silicon, firmware, virtualization, and system software. Translate security goals into engineering requirements, guide cross-functional teams, evaluate emerging threats, and protect AI models, data, workloads, and intellectual property from remote, physical, side-channel, and supply-chain attacks.

Define and deploy board- and system-level manufacturing test strategies for high-volume server production. Develop ICT/MDA/board functional tests, fixtures, and test infrastructure; drive yield improvement, failure analysis, and corrective actions; partner with ODMs and cross-functional teams to ensure scalable, reliable production testing and factory readiness.

Lead development of system-level test capabilities for multi-die AI processors, managing engineers and defining production, engineering, and characterization test solutions. Collaborate with silicon, test, DFT, manufacturing, and external vendors on fixtures, ATE, board-level testing, thermal control, test correlation, NPI transfer, silicon bring-up, defect identification, and yield improvement. Mentor junior engineers and support volume manufacturing.

Develop and deploy system-level test solutions for AI processors, including test content, automation, diagnostics, characterization, and manufacturing screening. Perform silicon bring-up, voltage/frequency margining, reliability testing, failure analysis, and cross-environment correlation. Develop scripts and tools for test execution, telemetry, analysis, and reporting. Support test hardware, production transfer, manufacturing ramp, and cross-functional collaboration with design, validation, manufacturing, and OSAT teams. Mentor junior engineers and improve test coverage and manufacturability.

Supports the Technical Services team by creating and organizing technical documentation, standard operating procedures, onboarding materials, training content, and knowledge resources for data center engineering environments. Collaborates with subject matter experts, reviews content for accuracy and accessibility, maintains project records, gathers user feedback, and assists with status updates and continuous improvement activities.

Build and lead Graphcore’s SRE organization for a rapidly scaling AI supercomputing platform. Establish the operating model, hire and develop the team, define production readiness and incident-management practices, engineer reliability into compute, networking, storage, and infrastructure systems, and lead major incidents. The role combines organizational leadership with hands-on technical involvement across platform development, troubleshooting, observability, automation, SLOs, and 24x7x365 production operations.