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Project Technical Lead - AI Systems Simulation
CommonAI C.I.C.
Cambridge, GBR
Full-time
Senior
Onsite
Discovered 2 weeks ago
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The Role
As AI models scale, understanding the real-world impact of hardware, systems software, and architecture on performance, cost, and energy is critical. CommonAI’s £70m+ Scaling Inference programme is developing a comprehensive simulation toolkit to model inference systems across the stack.
We are seeking a Project Technical Lead to spearhead this initiative. In this leadership role, you will define the technical strategy for our simulation platform, coordinating cross-functional workstreams to bridge the gap between hardware architecture and model workloads. You will be responsible for the programme's overall technical direction, setting standards for excellence, and ensuring the research outputs align with our strategic mission.
Key Responsibilities
- Technical Strategy & Vision: Own the architectural roadmap for the Scaling Inference simulation platform, ensuring technical decisions support long-term goals.
- Workstream Coordination: Manage and synchronise development efforts across hardware, software, and model workload workstreams to deliver a cohesive simulation toolkit.
- Technical Standards & Quality: Establish and enforce engineering best practices, rigorous validation methodologies, and performance standards across the team.
- Stakeholder Management: Act as the primary technical point of contact for the Scaling Inference programme, communicating progress and technical risks to senior leadership and partners.
- Mentorship & Growth: Provide technical guidance and mentorship to research engineers, fostering a culture of innovation and continuous professional development.
- Project Delivery: Lead the planning and execution of experimental cycles, ensuring the Scaling Inference Lab outputs are integrated into the core platform efficiently.
- Resource Allocation: Prioritise technical tasks and research questions to maximise programme impact on cost, performance, and energy efficiency targets.
- Documentation: Communicate findings through technical reports, internal publications, and external research outputs.
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