Engineering Manager - Compilers
Hybrid (London or Bristol)PermanentPosted 2mo ago
About the role
Engineering Manager role leading the compiler team for Fractile's AI accelerator hardware, responsible for enabling industry-leading LLM inference performance and shaping compiler architecture from first principles.
Responsibilities
- Build and lead a team of 10+ engineers developing the compiler stack for novel AI acceleration hardware
- Enable industry-leading LLM inference performance on Fractile's accelerators
- Work hands-on in a fast-moving, collaborative environment with hardware, driver, runtime and ML engineers
- Shape compiler architecture from first principles (IR design, lowering strategy, execution model) and make architectural decisions across the stack
- Hire, develop, and manage engineers and drive results in a fast-paced environment
- Collaborate closely with hardware architects, kernel engineers, runtime teams and ML researchers to make informed decisions at team boundaries
Qualifications
- Proven track record of leadership experience managing a high-performance development team
- Proven experience in compiler development, with ML compilers and familiarity with MLIR or TVM advantageous
- Up-to-date knowledge of machine learning techniques and technologies
- Good understanding of computer architecture and performance optimisation techniques
- Excellent C/C++ skills and experience with standard development tools
- Creative, innovative mindset and ownership mindset for fast-paced environments
Skills
Required:Leadership and team managementCompiler developmentMachine learning techniquesComputer architectureC/C++
Benefits
- Competitive salary
- Equity & Ownership
- Private Medical, Dental and Vision
- Contributory Pension
- 25 Days holiday plus bank holidays
- Life/Critical Illness Insurance
- Diverse & inclusive office environment
Last updated Sep 10, 2026. Interested? Apply on the company site.
About Fractile
Radically Accelerate Frontier Model Inference
Fractile is designing AI compute systems that will enable the next generation of AI scaling: frontier model inference, 25x faster, at 1/10th the cost.
frontier model inferenceAI computecompute systemsAI scalinginference hardwareprocessor innovation
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