Lead AI Architect
Indexed description
As models scale rapidly, understanding the intersection of hardware constraints, software optimization, and energy consumption is paramount. This senior, high-visibility role will own the technical direction and architectural roadmap for an advanced modeling environment designed to analyse full-stack AI inference performance.
Core Responsibilities
- Technical Strategy: Drive the long-term technical roadmap for an enterprise-grade performance modeling platform
- Systems Integration: Bridge the gap between semiconductor hardware engineering, systems software, and deep learning model workloads
- Engineering Standards: Establish validation methodologies and high-performance engineering standards across multiple technical teams
- Executive Liaison: Serve as the chief technical voice, translating highly complex infrastructure concepts for senior executives and external partners
- Team Leadership: Mentor a highly skilled group of systems and research engineers, cultivating an innovative engineering culture
- Education: Postgraduate degree (PhD or equivalent industry research background) in Computer Science, Computer Architecture, or a highly quantitative engineering field
- Leadership: Proven track record of leading complex, high-impact engineering projects from prototype phase to robust deployment
- Technical Expertise: Deep technical knowledge of GPU architectures, memory bandwidth constraints, and large-scale workload simulation
- Desirable Assets: Practical familiarity with distributed inference frameworks, cluster optimization, data center infrastructure, or open-source systems software
- A defining leadership position within a heavily backed, scaling technology enterprise
- Highly competitive salary package, pension, and comprehensive health benefits
- Strong professional network spanning elite commercial and academic circles
- Central office location in a major UK technology hub
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