VP or Director of GPU and AI Hardware Architecture

Location: UK (Flexible, Hybrid/Remote options considered)

UK Wide/Remote

A global leader in semiconductor innovation, specializing in advanced GPU, AI, and heterogeneous compute technologies. The company is dedicated to driving cutting-edge advancements in graphics processing, AI acceleration, and high-performance computing.

Role Overview

This role is ideal for an experienced semiconductor executive with a track record in leading engineering teams, technology strategy, and product innovation in GPU and AI hardware architecture. The VP/Director will drive cross-functional collaboration, product roadmaps, and strategic engagements with partners and customers.

Key Responsibilities

Lead the GPU & AI Hardware Architecture organization, driving innovation across mobile, data center, and automotive applications.
Develop and implement technology roadmaps in collaboration with product management and engineering teams.
Oversee the architecture and development of next-generation multi-threaded, ultra-low-power GPUs and AI accelerators.
Provide technical leadership for the design of highly parallel computing architectures.
Collaborate with software teams to optimize hardware-software interactions, ensuring efficiency in AI, deep learning, and OpenCL-based applications.
Engage with industry partners, EDA vendors, and design service providers to drive innovation and ecosystem development.
Contribute to corporate strategy, fundraising efforts (if applicable), and early-stage technology validation with OEMs and integrators.
Recruit, mentor, and develop high-performing engineering and architecture teams.

Key Requirements

Experience in semiconductor engineering, with a strong focus on GPU and AI accelerator architectures.
Proven track record of managing and scaling engineering organizations in both startup and large corporate environments.
Expertise in designing and architecting multi-threaded GPUs, heterogeneous compute platforms, and deep learning accelerators.
Strong knowledge of 3D graphics, OpenCL, and AI workloads.
Experience with software driver architectures, power and performance modeling.
Strategic mindset with experience in roadmap planning and technology pathfinding.
Excellent stakeholder engagement skills, including pre-sales and partner/customer interactions.

Preferred Experience

Experience leading engineering teams within a semiconductor or technology company.
Background in securing startup funding and building advisory/founding teams (for candidates with startup experience).
Strong industry relationships with EDA vendors and design services providers.

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