Senior Embedded Performance Engineer

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.

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

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