Senior Embedded Performance Engineer

Fractile; Tottenham; Presencial; GBP 70.000 - 110.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Competitive salary

Equity & Ownership

Private Medical, Dental and Vision

Contributory Pension

25 Days holiday plus bank holidays

Life/Critical Illness Insurance

Descripción de la vacante

Fractile in the United Kingdom is hiring a deeply experienced embedded software engineer to shape the software that drives our AI accelerator hardware. On the device, you’ll write and optimize low‑level code close to the metal, influencing scheduling, data movement, and kernel performance.

You will collaborate across hardware, simulation, compiler, and firmware teams, run benchmarks, and turn profiling results into real performance wins.

Formación

• Proven embedded software experience with performance focus.
• Strong understanding of low‑level architecture and memory behavior.
• Excellent C and assembly skills; maintainable, high‑quality code.

Responsabilidades

• Write and optimise performance‑critical ML kernels in C, with assembly where it matters.
• Build low‑level control paths including scheduling, synchronisation, and data movement.
• Write validation workloads and microbenchmarks to validate hardware behaviour.
• Profile, benchmark, and track regressions to ensure real performance gains.
• Collaborate with simulation, hardware, ML, compiler, firmware and runtime teams.

Conocimientos

C programming

Embedded software

Assembly (RISC-V)

Performance optimization

Low‑level architecture

Educación

CS/EE/Math/Physics degree

Descripción del empleo

About Fractile

Fractile was founded in 2022 on the bet that, eventually, the world’s most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We bet everything on the logical conclusion: that the only way to truly unlock this latent value, to make speed viable at scale, was to radically re‑invent the hardware that we run our frontier AI models on. Ever since, we have been building chips and systems that tackle this problem: how to efficiently generate output at thousands of tokens per second, while handling the complexity and capacity challenges of operating large models at very long contexts.

About Fractile

Fractile was founded in 2022 on the bet that, eventually, the world’s most capable AI systems would be limited in their impact by the time taken to produce useful outputs. We bet everything on the logical conclusion: that the only way to truly unlock this latent value, to make speed viable at scale, was to radically re‑invent the hardware that we run our frontier AI models on. Ever since, we have been building chips and systems that tackle this problem: how to efficiently generate output at thousands of tokens per second, while handling the complexity and capacity challenges of operating large models at very long contexts.

The Role

On the device, close to the metal, we write the runtime software that orchestrates work across the chip and runs performance‑critical ML kernels. This is where performance gets real and the wins compound. Your work directly influences trade‑offs for the silicon, system deployment, and the compiler.

You’ll drive the first accelerator compute runs, evaluating performance on silicon, running early benchmarks, and feeding results back into the hardware and software roadmap.

What you’ll do

• Write and optimise performance‑critical ML kernels in C, with assembly where it matters (RISC‑V and our own ISA)
• Build the low‑level control paths that feed those kernels, including scheduling, synchronisation, and data movement
• Write targeted validation workloads and microbenchmarks to keep simulation and hardware behaviour aligned and performance measurable.
• Profile, benchmark, and track regressions so performance improvements are real and repeatable
• Work closely with simulation, hardware, ML, compiler, firmware, and runtime engineers in a tight loop, turning profiling data into architecture feedback and real performance wins.

What we’re looking for

• Proven deeply embedded software experience
• Strong performance instincts. You can reason about low‑level architecture, memory behaviour, and where the cycles are spent
• Excellent C, and a pragmatic approach to building high‑quality, maintainable low‑level code
• Comfortable writing and debugging optimised assembly (RISC‑V ideal)
• 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

• Experience with GPUs or dedicated ML accelerators
• Rust and/or Python experience
• Experience with simulators (functional or performance) and writing validation or benchmarking workloads
• Familiarity with modern ML inference workloads

If you want to build the software that turns cutting‑edge hardware capability into real throughput and low latency, come build it with us.

What We Offer

• Competitive salary: A competitive salary reflective of your experience and the specialist nature of the role.
• Equity & Ownership: meaningful equity so everyone shares in the value creation
• Benefits: Private Medical, Dental and Vision, Contributory Pension, 25 Days holiday plus bank holidays and Life/Critical Illness Insurance.
• Diverse & fun office: we believe the hardest problems get solved by the broadest range of minds. We are committed to Equal Employment Opportunity through attracting and retaining a diverse team and building an inclusive environment.

Fractile is seeking to increase the clock speed of global progress, one chip at a time. We’ve recently raised $220M from investors including Founders Fund and Accel and our most important work lies ahead. Join us!

Export controls

Our work involves technologies subject to UK, US and other 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.