EDA Infrastructure Engineer at Fractile

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

20 Mar, 26

Salary

0.0

Posted On

20 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

EDA Tooling, Workload Management Tools, Container Orchestration, Infrastructure As Code, Build Systems Tooling, Linux/Unix Systems, Network Services Management, Cluster Compute Solutions, Resource Utilisation Monitoring, Coding, Ansible, Terraform, Docker, Kubernetes, Bazel, Prometheus, Zabbix

Industry

Computer Hardware Manufacturing

Description

Fractile is building silicon, systems and software which will redefine the frontier of AI: running the world’s most advanced models at radically higher speed and lower cost. We have an exceptional team across hardware and software capable of bringing about this change, and we are growing fast to meet demand and deliver our product at scale. We are seeking an exceptional Infrastructure engineer to develop and maintain the foundations of our silicon development, supporting a wide range of computationally-intensive workloads while scaling up capacity by orders-of-magnitude. In this role you will work together with our build flow lead to provide efficient, scalable processes and compute to our front-end and back-end silicon engineering teams. You will need to work closely with engineers across the organisation to resolve bottlenecks and optimise workflows, to provide a environment that enables our team to execute at scale and with speed. Key Responsibilities: Create and support tooling and workflows centred around EDA tooling, which will require coding and build-system knowledge to assist with tasks faced by different teams. Deploy, and maintain compute infrastructure (in either the cloud or on-premise) using an infrastructure-as-code (IaC) framework (Ansible/Terraform). Manage key network services such as a VPN, central authentication (LDAP), file/object storage, and license servers. Maintain a cluster compute solution, capable of scheduling a wide array of types of job with large resource requirements. Setup and monitor observation tooling for resource utilisation, machine failures, and more (e.g. Prometheus/Zabbix). Work with the engineering team to build and optimise their workloads It would be great if you have: Experience of EDA tooling Experience working with workload management tools, such as Slurm. Experience working with container orchestration tools, such as Docker, and Kubernetes. Experience working with infrastructure as code, such as Ansible, or Terraform. Experience working with build systems tooling, such as Bazel. Preferred Qualifications: Proficient in modern software development language(s) and infrastructure-as-code frameworks. Proficient in the use and administration of Linux/Unix systems, and ideally management of shared compute environments. Past experience with diagnosing and resolving network/storage/CPU/RAM bottlenecks across complex workloads. Experience deploying and managing a grid compute system (Slurm/LSF/SGE). Proficiency with containerisation frameworks (Docker/Singularity). How we work Ownership and execution: you will have full agency to drive your work forward Rapid iteration: we all work directly with top leadership to move from idea to hardware on ambitious timelines Full-stack engagement: hardware, software, silicon, and modelling teams all work closely together to create a product with generational impact Optimistic and pragmatic: we possess the will to win, and to do the hard work to get us there Team player mentality: the mission is bigger than any of us, and we have the curiosity and technical focus to see the best idea shipped, no matter who’s it is About us Founded in 2022, team of 70+ which is expanding rapidly Modern, open offices in London and Bristol Collaborative, problem-solving culture built on deep curiosity, entrepreneurial initiative and technical fluency Export control and security clearance Certain roles may involve working on technologies subject to export restrictions. Applicants may be required to undergo additional eligibility checks to ensure compliance with applicable law.

Responsibilities

Develop and maintain the foundations of silicon development, supporting computationally-intensive workloads. Work with engineering teams to resolve bottlenecks and optimize workflows for efficient execution.