Fractile

Fractile is seeking an experienced embedded systems developer in London or Bristol. You will develop critical firmware and services for management controllers while working with hardware and software teams to ensure reliability and observability of the systems. Ideal candidates should have over 3 years of industry experience, strong programming skills in C and/or Rust, and a commitment to creating fault-tolerant systems. This role offers a blend of in-office and work-from-home flexibility.

London or Bristol, 3 days in the office, 2 days WFH At Fractile, we're building what we believe will be the world's fastest AI inference chip from the ground up. We're balanced across hardware and software engineering, and HW/SW co-design is how we work. We move fast, and we help each other move fast. We care about each other, the software we ship, and the people who rely on it. We build the control chain that powers on, monitors, updates, and protects devices and racks across bare metal, RTOS, and embedded Linux. It's production critical software that keeps racks stable, updates safe, and hardware secure. It's a critical layer in turning a tokens per second benchmark into a tokens per month system, turning great silicon into reliable output at rack scale. You'll be there for the first racks coming to life and rollout days where update safety matters. Your work makes the difference between a bad failure and a clean recovery path. This is the work that makes the system something operators can trust. What you'll do Develop firmware and services for management controllers at every level: rack management, BMC, and board/device controllers (RTOS and bare metal) Build systems software for board and rack management, from early bring up through to production deployment Implement the critical flows that keep fleets healthy: power on and provisioning, monitoring/telemetry, updates, recovery, and security Integrate with the wider host/device stack (drivers and runtime libraries) so the system works end to end Work closely with hardware and device software teams to define reliable interfaces, validate behaviour, and debug boundary issues What we're looking for Proven experience shipping production critical, reliable embedded systems across two or more of: bare metal, RTOS, embedded Linux (or deep expertise in one with clear ability to ramp the others) Strong C and/or Rust, and excellent engineering judgement around safety, testing, debugging, and failure modes A reliability first mindset: you design for observability, diagnosability, and recovery paths that are predictable and testable Comfortable working close to the hardware/software boundary (bootloaders/BSP/kernel adjacent work) and collaborating tightly with HW, driver, and runtime teams Collaborative and high ownership. You communicate clearly, move fast, and enjoy working through hard problems with others Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience Nice to have Embedded platform / systems firmware experience (board management, BMC style stacks, rack controllers) OpenBMC experience and/or embedded Linux image build/customisation experience Security minded, with practical instincts around secure boot, signed updates, device identity, and designing systems that fail safe and recover cleanly (direct experience in some areas is a plus) Hardware bring up experience, including lab tools (logic analysers, oscilloscopes, waveform viewers) Experience with GPUs or ML accelerators If you want to build the control software that keeps rack scale systems stable, safe, and secure for next gen AI, come build it together.

Fractile is seeking an experienced embedded systems developer in London or Bristol. You will develop critical firmware and services for management controllers while working with hardware and software teams to ensure reliability and observability of the systems. Ideal candidates should have over 3 years of industry experience, strong programming skills in C and/or Rust, and a commitment to creating fault-tolerant systems. This role offers a blend of in-office and work-from-home flexibility.

London or Bristol, 3 days in the office, 2 days WFH At Fractile, we're building what we believe will be the world's fastest AI inference chip from the ground up. We're balanced across hardware and software engineering, and HW/SW co-design is how we work. We move fast, and we help each other move fast. We care about each other, the software we ship, and the people who rely on it. We build the control chain that powers on, monitors, updates, and protects devices and racks across bare metal, RTOS, and embedded Linux. It's production critical software that keeps racks stable, updates safe, and hardware secure. It's a critical layer in turning a tokens per second benchmark into a tokens per month system, turning great silicon into reliable output at rack scale. You'll be there for the first racks coming to life and rollout days where update safety matters. Your work makes the difference between a bad failure and a clean recovery path. This is the work that makes the system something operators can trust. What you'll do Develop firmware and services for management controllers at every level: rack management, BMC, and board/device controllers (RTOS and bare metal) Build systems software for board and rack management, from early bring up through to production deployment Implement the critical flows that keep fleets healthy: power on and provisioning, monitoring/telemetry, updates, recovery, and security Integrate with the wider host/device stack (drivers and runtime libraries) so the system works end to end Work closely with hardware and device software teams to define reliable interfaces, validate behaviour, and debug boundary issues What we're looking for Proven experience shipping production critical, reliable embedded systems across two or more of: bare metal, RTOS, embedded Linux (or deep expertise in one with clear ability to ramp the others) Strong C and/or Rust, and excellent engineering judgement around safety, testing, debugging, and failure modes A reliability first mindset: you design for observability, diagnosability, and recovery paths that are predictable and testable Comfortable working close to the hardware/software boundary (bootloaders/BSP/kernel adjacent work) and collaborating tightly with HW, driver, and runtime teams Collaborative and high ownership. You communicate clearly, move fast, and enjoy working through hard problems with others Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience Nice to have Embedded platform / systems firmware experience (board management, BMC style stacks, rack controllers) OpenBMC experience and/or embedded Linux image build/customisation experience Security minded, with practical instincts around secure boot, signed updates, device identity, and designing systems that fail safe and recover cleanly (direct experience in some areas is a plus) Hardware bring up experience, including lab tools (logic analysers, oscilloscopes, waveform viewers) Experience with GPUs or ML accelerators If you want to build the control software that keeps rack scale systems stable, safe, and secure for next gen AI, come build it together.

Fractile builds silicon, systems, and software to break through the memory wall, the fundamental hardware constraint standing between today's AI and what comes next. The frontier of AI is no longer a research problem. The tasks AI can complete are doubling in complexity every six to seven months and the tokens required to complete them are scaling with it. Sequential reasoning, the kind that can't be parallelised away, means the internal clock speed of inference systems is the critical constraint. What stands between where we are today and the future potential of AI isn't smarter algorithms; it's the hardware to run them fast enough to matter. Today's chips are hitting their wall. We're rebuilding the ones that don't. Fractile is seeking to increase the clock speed of global progress, one chip at a time. 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. Add build system support for new EDA tools required throughout the chip lifecycle. Create and improve developer tools across frontend and backend silicon teams. Improve existing workflows to make them cacheable and reproducible. Deploy, and maintain compute infrastructure (in either the cloud or on-premise) using an infrastructure-as-code (IaC) framework (Ansible/Terraform). 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 with EDA tooling. Experience working with build systems such as Bazel. 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. Preferred Qualifications Proficiency in modern software development language(s) and infrastructure-as-code frameworks. Past experience 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). About Us Founded 2022, we're 100+ people across London and Bristol in the heart of the UK's frontier AI ecosystem, and growing fast. We've recently raised $220 M from Accel, Founders Fund, FactorialFunds and a number of the world's leading deep tech investors. Our team brings deep experience from Arm, Google DeepMind, Apple Silicon, Qualcomm, and others, who've shipped silicon and scaled systems at the frontier before. We're a culture built on deep curiosity, technical fluency, and humility, looking for the kind of entrepreneurial instinct that finds the motivating rather than the daunting. We offer competitive salaries, meaningful equity, and benefits such as private healthcare and pension plans. We believe the hardest problems get solved by the broadest range of minds and actively encourage applications from underrepresented groups in hardware and software engineering. Hybrid working: 2-3 days in our London and Bristol offices. Export Controls Our work involves technologies subject to UK and international export control regulations. Certain roles may require additional eligibility checks to ensure compliance with applicable law. We'll be transparent about this throughout the hiring process.

Fractile is seeking a skilled professional to enhance and support EDA tooling and workflows, crucial for chip development. You will deploy compute infrastructure and monitor resources while optimizing workloads within the engineering team. Founded in 2022, the company is part of the UK's leading AI ecosystem, backed by significant funding and boasting a team from renowned tech companies. They offer competitive salaries and benefits in a hybrid work environment.

Fractile is seeking a Senior ML Compiler Engineer to develop the machine learning compiler stack for innovative AI acceleration hardware. This role offers the opportunity to work collaboratively with hardware and software teams to optimize performance. The ideal candidate has proven experience with machine learning compilers, skills in C/C++, and a degree in relevant fields. Join us in Bristol or London for this unique opportunity to shape new technologies.

At Fractile, we're taking a revolutionary approach to computing to run the world's largest language models 100x faster than existing systems. Our fast-growing team is working at the cutting edge of the latest AI developments in both hardware and software. Want to get involved? We are looking for Senior ML Compiler Engineers with experience in machine learning compilation to work on the compiler stack for our ground-breaking AI accelerators. You can be based in our Bristol office or London, the choice is yours. Why Fractile: We're building something that doesn't exist yet. Fractile isn't another AI startup gluing together frameworks. We are designing a full-stack execution engine: hardware, compiler, runtime, to build the world's largest language models 100 x faster than today's systems. That ambition forces us to rethink everything from first principles. For compiler engineers, this is a rare moment: the architecture is still being shaped. The IR, the lowering strategy, the optimisation passes, the execution model - you get to define its future. In this role, you will: Develop the machine learning compiler stack for Fractile's innovative AI acceleration hardware Enable industry leading performance of the latest LLMs on Fractile's accelerators Work with hardware, driver runtime, and ML engineers in a highly collaborative hardware software co design methodology It would be great if you have: Proven experience of the development of machine learning compilers using industry standard technologies such as MLIR or TVM Up to date knowledge of machine learning techniques and technologies A good understanding of computer architecture and performance optimisation techniques Excellent C/C++ skills and solid experience of industry standard development tools and technologies Creative and innovative mindset, and a willingness to take ownership and drive results in a fast paced environment Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience You may also have: Previous experience in a startup or small team environment

Fractile is seeking a Senior ML Compiler Engineer to develop the machine learning compiler stack for innovative AI acceleration hardware. This role offers the opportunity to work collaboratively with hardware and software teams to optimize performance. The ideal candidate has proven experience with machine learning compilers, skills in C/C++, and a degree in relevant fields. Join us in Bristol or London for this unique opportunity to shape new technologies.

At Fractile, we're taking a revolutionary approach to computing to run the world's largest language models 100x faster than existing systems. Our fast-growing team is working at the cutting edge of the latest AI developments in both hardware and software. Want to get involved? We are looking for Senior ML Compiler Engineers with experience in machine learning compilation to work on the compiler stack for our ground-breaking AI accelerators. You can be based in our Bristol office or London, the choice is yours. Why Fractile: We're building something that doesn't exist yet. Fractile isn't another AI startup gluing together frameworks. We are designing a full-stack execution engine: hardware, compiler, runtime, to build the world's largest language models 100 x faster than today's systems. That ambition forces us to rethink everything from first principles. For compiler engineers, this is a rare moment: the architecture is still being shaped. The IR, the lowering strategy, the optimisation passes, the execution model - you get to define its future. In this role, you will: Develop the machine learning compiler stack for Fractile's innovative AI acceleration hardware Enable industry leading performance of the latest LLMs on Fractile's accelerators Work with hardware, driver runtime, and ML engineers in a highly collaborative hardware software co design methodology It would be great if you have: Proven experience of the development of machine learning compilers using industry standard technologies such as MLIR or TVM Up to date knowledge of machine learning techniques and technologies A good understanding of computer architecture and performance optimisation techniques Excellent C/C++ skills and solid experience of industry standard development tools and technologies Creative and innovative mindset, and a willingness to take ownership and drive results in a fast paced environment Computer Science, Electronic Engineering, Maths, Physics, or related degree and 3+ years of industry experience You may also have: Previous experience in a startup or small team environment

A leading AI technology firm is seeking a Senior Modelling Engineer to develop pre-silicon models for innovative AI acceleration hardware. You will collaborate closely with hardware, software, and machine learning engineers to drive product design and verification. Ideal candidates will have over 5 years in semiconductor IP modelling and strong skills in C/C++ and Python. Join a fast-paced environment that focuses on cutting-edge AI development in either the Bristol or London office.