Staff Systems Test Operations Engineer

Graphcore

ABOUT THE JOB Build the test solutions that help bring advanced AI hardware from design into volume production. As a Staff Board Test Operations Engineer, you'll develop and deploy PCB assembly test solutions across our manufacturing network. Your work will help ensure product quality, reliability, and manufacturing readiness. You'll play a key role in identifying defects early, improving test coverage, and resolving complex production challenges. The impact of your work will be seen in yield performance, efficiency, and product quality. You'll lead the development of flying probe and ICT test solutions, support external manufacturing partners, and drive test platform deployment from NPI through to mass production. This role offers broad technical scope across design, manufacturing, test engineering, and operations. You'll solve difficult problems and help shape how our products are tested at scale. THE TEAM AND CULTURE The Product Test and Diagnosis team focuses on finding and managing hardware defects across chips, boards, and complete systems. The work spans manufacturing sites and products in the field. Day to day, you'll work closely with design engineers, manufacturing teams, and external test partners. Problems are solved through data, root cause analysis, and hands-on engineering. Ownership sits with the people closest to the challenge. Team members are trusted to lead technical decisions, improve processes, and raise standards across the organisation. WHAT WE’RE LOOKING FOR * Strong experience developing and maintaining PCB assembly test solutions using platforms such as Teradyne, Keysight, TRI, or SPEA * Deep understanding of SMT and PCB manufacturing processes, failure mechanisms, and test coverage principles * Ability to debug complex issues across design, test, and manufacturing environments * Experience working with manufacturing partners and supporting production test operations * Hands-on experience with electronic test equipment, including oscilloscopes, DMMs, SMUs, and power supplies * A practical approach to solving problems, improving yield, and driving continuous improvement BENEFITS * Unlimited annual leave * Up to 5% matched pension * Phantom equity – share in Graphcore’s success * True flexibility in how and where you work * Office spaces designed for collaboration * Free food and an on-site barista * Health cash plan * Income protection * Life assurance * Along with other benefits you can choose from (private medical insurance, dental plan etc) We welcome people from all backgrounds and experiences and are committed to building an inclusive environment where everyone can do their best work. We’re an equal opportunity employer and recognise that everyone brings different strengths and perspectives. If you need any adjustments during the interview process, just let us know - we’re happy to support you. JOIN THE TEAM AT GRAPHCORE Graphcore is building the compute platform for the next generation of artificial intelligence. From advanced silicon to intelligent software, our technology is designed to unlock breakthroughs in AI and bring its benefits to every industry. As part of the SoftBank Group, we’re backed by one of the world’s most ambitious technology investors, working alongside companies shaping the future of AI. Together, we share a bold goal: to help enable artificial superintelligence and ensure it delivers meaningful impact at a global scale. At Graphcore, you’ll work with people who are pushing the boundaries of what’s possible. Our teams bring together AI researchers, chip designers, software engineers and systems experts from a wide range of backgrounds. It’s an environment where we take on big challenges with curiosity and focus, move quickly and decisively, take real ownership of our work, and speak up to challenge ideas—stepping up to support each other and lead through action. If you enjoy solving complex hardware test challenges and want to influence manufacturing quality at scale, we’d love to hear from you. Apply now to join Graphcore.   BENEFITS In addition to a competitive salary, Graphcore offers flexible working and a generous annual leave policy. Alongside Taiwan's National Health Insurance scheme, we provide private medical insurance, life and critical illness insurance, and the option to extend healthcare coverage to family members. We also offer an annual health assessment allowance and eye care reimbursement to support your overall wellbeing. 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

Coupang

As a Staff Systems Engineer in Developer Platform, you will partner with leaders of multiple platform teams. You will work closely with product to define and implement simple solutions to complex orchestration problems, building a highly scalable, reliable, and efficient platform for our customers. You will engineer and develop Kubernetes controllers, operators, and node-level daemons for the application runtime; drive performance tuning and scaling; and design multi-cluster control-plane capabilities that scale to millions of pods across thousands of clusters. What You Will Do * Engineer and develop a unified application platform for hybrid (multi-cluster, multi-region, multi-cloud) application management using Kubernetes controllers and feedback-driven control systems to meet SLOs. * Deliver end-to-end automation for application lifecycle (deployments, rollouts, failovers, policy enforcement) to minimize manual work for users. * Drive fleet-wide optimization for cost, performance, and latency through data-informed controls and capacity management, improving $/RPS and tail latency. * Build resilient, multi-tenant control planes and workflows that safely scale to millions of pods across thousands of clusters. * Ensure reliability, security, and governance with clear guardrails, safe defaults, and automated remediation. * Partner with product and customers to turn complex orchestration problems into simple, reusable platform primitives and great developer experiences. * Champion observability and continuous improvement with measurable, outcome-focused metrics. Basic Qualifications * Bachelor’s degree in Computer Science, Electrical Engineering, Math, or a closely related field (or equivalent experience) * 10+ years in backend software development and operations * Recent experience designing and operating large-scale distributed systems (last 3 years) • Fluency in one or more among Go, C/C++, Python, or Java * Proven track record of delivering mission-critical systems * Experience with cloud computing using AWS or Azure or GCP   Preferred Qualifications * Kubernetes API machinery and semantics: SSA, SMP, server-side dry-run, watches/informers/listers, rate-limited workqueues, finalizers, owner references, leader election, API Priority and Fairness * Controllers/operators and node daemons in Go: client-go/controller-runtime, reconciliation patterns, backoff and retry, idempotency, partitioned/sharded controllers, HA and failover * CRDs and webhooks: versioning, conversion functions/webhooks, validating/mutating admission webhooks, policy frameworks and best practices * Pod/runtime semantics: sidecars, init/ephemeral containers, probes (readiness/liveness/startup), lifecycle hooks, termination behavior, PDBs, QoS classes, ResourceQuota/LimitRange, topology spread, affinity/anti-affinity * Scaling systems: HPA (resource/custom/external metrics), VPA, cluster autoscaler; multi-dimensional scaling, health-aware/autopilot-style policies; external metrics adapters and SLO-driven scaling * Federated and multi-cluster: placement/propagation, failover, drift detection, reconciliation strategies; consistent hashing and partitioning for scale * Distributed systems: CRDTs and eventual consistency paradigms; Raft/memberlist/gossip; deep familiarity with etcd, Kafka, Redis and their operational characteristics (compaction, backpressure, retention, failover) * Observability and data: Prometheus (cardinality control, recording rules), tracing; experience with vector databases for search and diagnostics; strong time-series forecasting (classical + ML) and statistical modeling for proactive optimization * Languages and interfaces: Go (primary), Java/Python as needed; gRPC/protobuf; JSON/YAML/Jsonnet * Leadership: ability to handle multiple competing priorities in a fast-paced environment and lead the delivery of large-scale services for complex business offerings Privacy Notice   * Your personal information will be collected and managed by Coupang as stated in the Application Privacy Notice located below: https://www.coupang.jobs/privacy-policy/

Graphcore

About Graphcore  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.    Job Summary   We are looking for an experiences Staff Engineer to join our Cloud Platform Team and help develop and deploy clouds and services. Working closely with our colleagues in Software Platform, Datacentre Operations and Product Development teams, you will deploy services on our fleet of cutting-edge AI systems. As part of our Software Platform organisation, you will be involved in the cloud integration, validation, performance benchmarking, optimisation, and development of our high-performance AI solutions.  These include in-house AI systems alongside off-the-shelf high-performance servers, switches and storage solutions.  This is a hand-on technical role requiring a solid background in the use of cloud infrastructure, deployment using Infrastructure-as-Code, observability, high-performance networking and storage systems.  You may have been working in an IT organisation, a datacentre, a cloud provider or as a developer of orchestration or cloud services.      The Software Platform team at Graphcore  We build Graphcore products into large-scale AI solutions for our customers and the Cloud Platform Team is responsible for providing such systems to both internal users via private clouds and customers via our own public clouds.  Often the internal systems will be using and developing pre-release hardware and software, so it’s vital you are comfortable with unproven components.    Responsibilities and Duties    * Operate and extend existing OpenStack-based cloud services and contribute to the deployment and development of new ones.  * Develop and operate end-user services on our clouds and support internal users in their use. You will turn end-user and product requirements into deployed services.  * Help to build automation to collect and analyse metrics and other observability data from the cloud services to support clear identification and reporting of any issues.  Work with users to provide information of any product-related issues to Engineering and QA departments.  * Work with our Datacentre Operations Engineers to maintain and operate the fleet of AI systems at peak performance in our private clouds.  * Configure and test new Graphcore AI hardware and systems using Continuous Deployment and Infrastructure-as-code in internal and external datacentres.  * Drive corrective actions for systems that are not operating correctly, working with DC operations and Graphcore Engineering as required.  * Work with external vendors of off-the-shelf switches, servers and storage solutions to specify, benchmark and integrate 3rd party products into our Cloud Reference Design.      Skills and Experience [ALL REQUIRED]  * Bachelor's degree or equivalent practical experience in a relevant subject.  * Solid infrastructure or IT experience with a proven track record of delivering technical output as an individual contributor.  * Experience managing or operating on-premises or private-cloud environments.   * Experience specifying, scoping, estimating and detailing work plans in an AGILE and SCRUM framework, including priorities, risks, issues, impacts and constraints.  * Strong proven Linux scripting ability (bash and python required).  * Strong proven Linux system administration (Ubuntu, RHEL and variants).  * Experience with a version control system (preferably Git) and using it to manage system configuration or automation.  * Experience with Continuous Integration or testing pipelines using GitLab, GitHub or similar.  * Hands-on experience deploying services into public or private clouds using Infrastructure-as-Code (IAC).  * A solid understanding of the technologies underpinning cloud services (APIs, virtualisation of CPUs, IO, systems), virtual networks, block storage, resource management and monitoring.  * Experience with IAC automation tools (e.g. Terraform/OpenTofu, Ansible, Packer).  * Experience with container deployment and management tools (e.g. docker, podman, apptainer).  * Experience with solutions for monitoring and observability. e.g. Grafana, Prometheus, OpenSearch/ElasticSearch, Loki, Mimir, OpenTelemetry, Fluentd ,Kafka  * Good communication and presentation skills, and experience dealing with end-users of IT or cloud services.  * An ability to work independently on critical infrastructure without oversight, and with a focus on end-user availability.     Desirable but not required:  * Experience with OpenStack deployments or the technologies they rely on (e.g. Ceph, Open vSwitch, KVM, QEMU ).   * Experience with High Performance Computing (HPC) environments using SLURM or similar batch workload solutions.  * Strong skillset and experience in end-to-end deployment automation and CI of containerised services. Complete automation of pipelines for build, test, deploy, manage, alert, destroy, rebuild.  * Experience with managing production Kubernetes clusters and workloads.   * Experience with workload queue management systems (SLURM, LSF, Kueue).   * Experience with managed switch configuration (e.g. EOS, SONiC, DNOS).   * Programming experience with Python3 utilising classes and inheritance.  * Programming experience with Go.    Benefits In addition to a competitive salary, Graphcore offers flexible working, a generous annual leave policy, private medical insurance and health cash plan, a dental plan, pension (matched up to 5%), life assurance and income protection. We have a generous parental leave policy and an employee assistance programme (which includes health, mental wellbeing, and bereavement support). We offer a range of healthy food and snacks at our central Bristol office and have our own barista bar! 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.   Sponsorship Applicants for this position must hold the right to work in the UK. Unfortunately at this time, we are unable to provide visa sponsorship or support for visa applications.