VP Applications Engineering – CPU & AI Infrastructure

IC Resources; Cambridgeshire and Peterborough; On-site; GBP 140,000 - 200,000; Full time

Job summary

Intellectual Capital Resources Ltd seeks a VP of Applications Engineering to lead and hands-on shape the future of CPU performance for AI. You will work with the CTO and CPU team to analyze real-world AI workloads, profile performance on existing silicon, and translate findings into architectural improvements.

The role combines leadership with deep technical engagement across AI workloads, data centre software, and collaboration with premier labs and hyperscalers.

Qualifications

• Strong understanding of CPU performance and data centre software stacks.
• Experience working with AI Labs and hyperscalers.
• Good knowledge of compilers is a definite plus.

Responsibilities

• Build and lead the applications engineering team whilst remaining hands-on.
• Analyse AI and data centre workloads to identify CPU performance bottlenecks.
• Benchmark workloads on existing silicon in the marketplace.
• Engage with leading AI labs, hyperscalers and infrastructure teams.

Skills

CPU performance

Data centre software stacks

AI labs experience

Hyperscalers

Compilers

Education

Electronic engineering degree

Job description

VP Applications Engineering - CPU & AI Infrastructure

A rare opportunity to help shape the future of CPU performance for AI. Join an ambitious stealth mode start-up who are developing a custom CPU designed to overcome the limitations of today's processors.

This is a hands-on applications and performance engineering leadership role. You'll work directly with the CTO and CPU team, analysing real-world AI workloads, profiling performance on existing silicon and translating the findings into architectural improvements.

Responsibilities:

• Build and lead the applications engineering team whilst remaining hands-on
• Analyse AI and data centre workloads to identify CPU performance bottlenecks
• Benchmark workloads on existing silicon in the marketplace
• Engage with leading AI labs, hyperscalers and infrastructure teams

Requirements:

• Relevant technical degree, or equivalent, in electronic engineering
• Strong understanding of CPU performance and data centre software stacks
• Experience working with AI Labs and hyperscalers
• Good knowledge of compilers a definite plus