Engineering Manager – Compiler & Performance Modelling

Job Specification:

Role overview:

Lead and scale the Compiler & Performance Modelling teams responsible for enabling the performance of high-performance AI accelerator platforms. Own the technical strategy, drive execution, and build a high-performing, ambitious engineering organisation. Ensure that compiler and performance modelling activities deliver world-class results that align with broader product and hardware objectives. Provide senior technical leadership, mentor emerging leaders, and establish scalable processes across hardware, software, and performance engineering domains.

Key responsibilities:

• Lead and grow high-performing compiler and performance modelling teams in a fast-paced, high-expectation environment.

• Own delivery of complex, cross-functional projects spanning hardware, software, and performance engineering that drive business and customer outcomes.

• Define the future performance of AI accelerator platforms through functional, roofline, and performance modelling.

• Shape engineering strategy and architecture, aligning hardware and compiler performance with product roadmap and technical vision.

• Build organisational capacity by hiring exceptional engineers, mentoring emerging leaders, and establishing scalable processes.

• Drive quality and reliability across pre-silicon emulation, compilation, and distributed AI inference.

• Partner cross-functionally with hardware, software, and systems teams to bring AI accelerator platforms to market.

Required skills & experience:

• 5+ years managing engineering teams of 5–10 in a high-performance, fast-paced environment; experience in hyper-scaling and managing managers preferred.

• Proven expertise in ML or NPU compiler development and performance modelling; hands-on experience with LLVM, MLIR, XLA/OpenXLA, SystemC, Gem5, or QEMU.

• Strong track record of leading world-class teams and delivering measurable business and customer outcomes.

• Thrive in ambiguity, with the ability to adapt quickly to rapidly changing conditions.

• Experience in hiring competitive candidates and crafting a compelling vision for the team.

• Coaching mindset with ability to guide engineers to reach their peak potential.

Desirable experience:

• Experience with high-performance AI hardware platforms.

• Exposure to distributed AI inference systems and end-to-end hardware/software integration.

Tools & methods:

• Compiler and performance modelling toolchains (LLVM, MLIR, XLA/OpenXLA, SystemC, Gem5, QEMU).

• Pre-silicon emulation and testing.

• Performance analysis frameworks and metrics.

• Cross-functional project management and execution methodologies.

What success looks like:

• Teams deliver world-class compiler and performance modelling results aligned with product objectives.

• Clear technical strategy and execution that drives AI accelerator performance.

• High-performing, scalable engineering organisation with strong leadership and mentorship.

• Successful delivery of cross-functional projects across hardware, software, and systems.

• Positive impact on business outcomes and customer adoption.

Location: London (Fully Remote)

Salary: £230,000+ + stock options benefits

Please contact us for further details.