Director of Engineering – AI Integrated Systems

Job Specification:

Role overview:

Own the end-to-end hardware engineering strategy and execution for system-level AI platforms built around advanced accelerator technologies. This role provides executive leadership and technical ownership across all hardware development activities, from architecture and design through validation and volume production.

Lead a multidisciplinary hardware engineering organisation, ensuring high-performance, reliable, and manufacturable designs that meet performance, cost, and scalability targets. Act as the senior technical escalation point while aligning hardware execution with system integration, silicon, software, supply chain, and productisation efforts.

Key responsibilities;

• Provide technical authority across hardware architecture, schematics, PCB design, power delivery, SI/PI, thermal, and mechanical integration

• Own hardware execution and strategy from design reviews through validation, qualification, and volume production

• Lead a multidisciplinary engineering organisation, ensuring accountability and growth for senior technical talent

• Define and enforce engineering processes, validation methodologies, and quality gates

• Identify and mitigate technical risks; lead root cause analysis and resolution of escalations

• Align hardware execution with system integration, silicon, software, and manufacturing readiness

• Translate product and technology strategy into actionable engineering plans, priorities, and schedules

• Ensure designs meet performance, reliability, cost, and manufacturability targets

Required skills & experience:

• 15+ years’ experience in complex hardware engineering environments

• 5+ years’ experience in senior engineering leadership roles

• Proven delivery of high-speed, power-dense electronics into volume production

• Deep understanding of PCB design, power delivery, SI/PI, validation, and DFM/DFT

• Hands-on capability to review schematics, layouts, simulations, and lab data

• Strong leadership, decision-making, and cross-functional communication skills

Desirable experience:

• AI accelerator or high-performance compute platforms

• Server-level hardware and system integration

• Embedded compute, firmware, or board bring-up exposure

Tools & methods:

• Hardware architecture and design review processes

• SI/PI and power integrity analysis methodologies

• Validation, qualification, and reliability testing

• DFM/DFT/DFR and structured NPI processes

What success looks like:

• Robust, high-performance AI hardware platforms delivered to production

• Strong engineering execution aligned with product and business objectives

• Effective risk management and issue resolution across development cycles

• High-performing engineering teams with clear accountability and growth paths

Location: Fully Remote (London-based)

Salary: £160,000 + benefits

Please contact us for further details.