Jobs at Fractile

Own and scale CI infrastructure, multi-language Bazel monorepos, and developer platform systems for AI hardware and software engineering. Responsibilities include building reproducible CI pipelines, optimizing performance across compute clusters, maintaining observability and alerting, supporting incident response, implementing infrastructure as code, and improving reliability and developer productivity. The role requires strong experience with CI/CD, build systems, DevOps/SRE practices, infrastructure tooling, and Python, Go, or Rust development.

Own the purchase-to-pay cycle, including invoice processing, supplier reconciliations, payment runs, multi-currency transactions, bank reconciliations, expenses, and audit support across UK, US, and Taiwan entities. The role will transition processes in-house, support the migration from Xero to NetSuite OneWorld, maintain financial controls, and potentially expand into bookkeeping and month-end close.

Maintain and troubleshoot on-premise Rocky/RHEL Linux servers, compute clusters, networking, storage, and job scheduling infrastructure. Deploy infrastructure using Ansible or similar infrastructure-as-code tools, maintain monitoring and observability systems, manage user identities and access, troubleshoot performance issues, document changes, and support engineers with infrastructure bottlenecks. The role requires strong Linux administration, networking, storage, scripting, independent troubleshooting, and ownership skills, with HPC and data-center experience desirable.

Drive end-to-end power, performance, and area closure for high-performance datapaths. Responsibilities include analyzing PPA bottlenecks, proposing RTL and microarchitectural changes, optimizing fixed-point, floating-point, or quantized arithmetic, closing timing through synthesis and STA iteration, applying low-power techniques, and collaborating with physical design engineers. The role also involves validating measurable silicon improvements and using formal verification or equivalence checking.

Lead technically informed sourcing and procurement for electronic components and EMS/CM partners. Own RFQs, cost modeling, supplier negotiations, qualification, NPI sourcing, BOM cost analysis, lifecycle management, risk mitigation, and dual-sourcing strategies. Collaborate with engineering, manufacturing, quality, finance, and program teams to optimize cost, availability, quality, and scalability across the product lifecycle.

As a Senior System Architect, you will design system architectures for AI applications, ensuring integration and performance from concept to production by collaborating with hardware and software teams.

The Lead Physical Design Engineer will implement complex IC designs, collaborating across teams to optimize performance, power, and area while ensuring manufacturability and design integrity.

Lead and grow a 10+ engineer compiler team to build the compiler stack for a novel AI accelerator. Drive compiler architecture, IR design, lowering strategies and performance optimisation, collaborating closely with hardware, driver, runtime and ML teams to enable industry-leading LLM inference performance.

Build developer-facing tooling, diagnostics, and workflows to run and optimise large language models on Fractile inference hardware. Create profiling/observability interfaces, quickstarts, docs, and examples. Advocate for external developer needs internally and collaborate with ML compiler, runtime, systems software, and silicon teams to shape APIs and abstractions.

Define and drive the architecture of compute engines, managing specifications, performance modelling, and collaborating with various teams to ensure optimal designs.

The Senior Logical Design Engineer will develop and implement high-performance RTL designs, collaborating with cross-functional teams, ensuring compliance with documentation and standards.

The Senior Verification Engineer will lead pre-silicon RTL verification processes, build testbenches, and improve hardware workflows in a collaborative team focused on ML/AI IC products.

As a Verification Engineer, you'll contribute to building ML/AI IC products, ensuring high standards of functional quality through collaboration on RTL verification.

Develop the ML compiler stack for AI acceleration hardware and optimize performance for large language models in a collaborative environment.

Develop pre-silicon models for AI hardware, support software development, and collaborate on architecture and performance evaluation.

Develop embedded firmware and systems software for management controllers, ensuring the reliability and safety of production-critical systems. Collaborate closely with hardware teams.

Responsible for implementing complex IC physical designs, collaborating with teams to optimize performance, power, and area while ensuring design integrity and manufacturability.

The role involves optimizing ML kernels, building low-level control paths, and collaborating with various teams to enhance performance.

Develop cutting-edge AI accelerator solutions by improving developer workflows, managing CI/CD pipelines, optimizing Bazel builds, and extending system support.

Build and maintain infrastructure and developer tooling for frontend and backend silicon teams. Integrate and support EDA tools and build systems, improve reproducible/cacheable workflows, deploy and manage cloud or on-prem compute via IaC, monitor resource usage, and optimize engineering workloads.