Artificial Intelligence Research Intern in Bristol

About the job Turn complex manufacturing data into higher yield, stronger quality and better products at scale. As Principal Product Engineer, you will help Graphcore manufacture advanced products with optimised yield, quality and cost. You will guide product performance through launch, production ramp and sustained high volume manufacturing. Your work will influence chip manufacturing, test, PCBA and system level production. You will help teams find the signals that improve reliability, reduce cost and protect quality. You will partner with OSATs, test engineering, manufacturing, quality, data engineering and analytics teams. Together, you will release new products and solve difficult yield, test and manufacturing challenges. This role suits someone who enjoys deep technical ownership and practical impact. You will turn manufacturing data into action across silicon, boards, blades and rack scale systems. The team and culture You will join the Product Test and Diagnosis team within Manufacturing Operations. The team spans Bristol, Cambridge, India, the US and Taiwan, working close to products and production partners. Work happens through direct ownership, technical depth and clear decisions. You will define best practice, challenge assumptions and move quickly when yield or quality needs attention. The team connects silicon, board level assemblies, server blades and rack scale systems. Decisions are grounded in data, engineering judgement and accountability for manufacturing outcomes. What we're looking for · Strong semiconductor product engineering, test engineering or manufacturing engineering capability in high volume production · Deep understanding of semiconductor, PCBA and system level manufacturing and testing · Strong statistical analysis skills, including SPC, DOE, regression, hypothesis testing and six sigma methods · Proven ability to analyse and visualise large manufacturing datasets using Python, SQL, JMP or similar tools · Experience driving yield, qua

About the job Own the test strategy that proves Graphcore’s next generation drivers are production-ready. As a Staff System Software Engineer, you will shape how Graphcore validates complex device drivers and platform tools. You will bring technical depth across Linux kernels, drivers and systems software. Your work will help raise the quality bar for products that support the next generation of AI compute. You will influence design decisions, guide test infrastructure and drive reliability across the stack. You will design, build, execute and report tests across component, system and acceptance levels. You will debug difficult issues using hardware and software tools, simulators and emulators. This is a hands-on technical leadership role with broad reach. You will help teams move quickly while protecting production quality. The team and culture The Drivers QA team verifies low-level kernel drivers, user-space libraries and platform tools. Work spans component tests, user acceptance and full system validation. You will work directly with driver developers, hardware, firmware, ML stack, Kubernetes and cloud management teams. Decisions are made close to the technical detail, with engineers expected to speak up and own outcomes. The team values engineers who think big, act fast and take responsibility. You will mentor others, raise standards and turn hard system problems into lasting improvements. What we're looking for · Deep experience validating Linux kernels, device drivers or similar systems software · Strong C++ and Python test development skills · Experience with CI/CD, build tools and modern automated testing practices · Ability to debug complex issues across hardware, firmware, drivers and upper software layers · Proven ownership of technical work, priorities and delivery in an agile engineering setting · Clear communication skills, including the ability to document and explain complex technical concepts While we have outlined a set of requirements, we value t

About the job Build the cloud platform that puts Graphcore AI systems into real use. As a Senior Cloud Engineer, you will develop and operate private cloud services for Graphcore teams and users. You will turn product and user requirements into reliable, deployed services. Your work will support large-scale AI systems built from Graphcore hardware, high-performance servers, networks and storage. These systems help engineers validate, benchmark and optimise the platforms behind advanced AI compute. You will use Infrastructure-as-Code, observability and automation to deploy, test and improve cloud infrastructure. You will also work with datacentre, software and product teams to keep critical systems performing. This is hands-on engineering with real ownership. You will often work with pre-release hardware and software, where judgement and pace matter. The team and culture The Cloud Platform Team builds the systems that give internal users and customers access to Graphcore AI infrastructure. Work moves from requirements to deployed services, with engineers close to the users and systems they support. You will work across Software Platform, Datacentre Operations and Product Development. Decisions are shaped by technical evidence, user needs and the realities of operating critical infrastructure. This team suits engineers who take responsibility, speak up and move quickly. You will be trusted to work independently, solve hard platform problems and keep services available. What we’re looking for Bachelor's degree or equivalent practical experience in a relevant subject. Solid software engineering or IT experience, with proven delivery as an individual contributor. Experience managing on-premises or private-cloud environments. Strong Linux scripting and system administration skills across bash, Python, awk, sed, Ubuntu, RHEL and variants. Experience with Git, CI pipelines and Infrastructure-as-Code tools such as Terraform/OpenTofu, Ansible or Packer. Hands-on

About the job Build the cloud platform that turns Graphcore AI systems into usable, scalable services. Graphcore needs a Bristol-based Staff Cloud Engineer to develop and deploy private and public cloud services for AI compute. You will join the Cloud Platform team within Software Platform, close to datacentre operations and product development. Your work will shape how internal users and customers access large-scale AI systems. You will keep critical infrastructure available while helping pre-release hardware and software become reliable cloud services. You will operate and extend OpenStack-based services, automate deployment with infrastructure-as-code, and improve observability across the fleet. You will benchmark, validate and optimise systems spanning Graphcore hardware, servers, switches and storage. This role suits someone who wants ownership of hard infrastructure problems, not a narrow ticket queue. Expect unproven components, direct user feedback, and decisions that move quickly into production. The team and culture The Cloud Platform team turns Graphcore products into large-scale AI solutions for internal users and customers. Work happens close to the systems, with engineers deploying, measuring and improving services directly. You will work with Software Platform, Datacentre Operations, Product Development, Engineering and QA. The team values people who take responsibility for unclear problems and make progress without waiting for perfect inputs. The team makes decisions from evidence: metrics, benchmarks, user impact and system behaviour. Engineers speak up, surface risks early and own corrective actions when systems need attention. What we’re looking for A relevant degree or equivalent practical experience, with proven ability to scope and deliver technical infrastructure work. Experience operating on-premises or private-cloud environments, with strong ownership of end-user availability. Strong Linux system administration and scripting sk

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. The Team The Verification team sits within the Silicon Design organisation. We ensure that the RTL delivered by Logical Design and used by Physical Design team implements Graphcore’s architectural needs and meets the company's quality standards. As a Director of Silicon Verification, you will help lead this multi-site organisation, define verification strategies across multiple silicon programs, and drive best in class execution to ensure high-quality, high-performance silicon delivery. Role Summary We are seeking a proven leader to help direct Graphcore’s verification strategy and methodologies. This role sets direction for the verification lifecycle including - planning, infrastructure, execution, coverage closure, debug strategy and sign-off for Graphcore’s complex, high performance AI accelerators. Reporting to the Senior Director of Verification the Director will partner closely with other teams such as Architecture, Logical Design, Physical Design, DFT, Systems as well as Program Management teams to ensure accurate implementation, accelerated debug cycles, high coverage confidence and predictable silicon delivery. Responsibilities Leadership & Strategy Define t