Project Technical Lead - AI Systems Simulation
On-siteCambridge, England, United Kingdom
Job Summary
Own the architectural roadmap for the Scaling Inference simulation platform, coordinating cross-functional workstreams across hardware, software, and model workloads to deliver a cohesive toolkit. Define technical strategy, enforce engineering best practices, and manage experimental cycles to ensure research outputs align with cost, performance, and energy efficiency targets. Act as the primary technical point of contact for senior leadership and partners, communicating progress and risks while mentoring research engineers. Prioritize tasks to maximize programme impact and integrate lab outputs into the core platform efficiently.
Required Qualifications
- Proven experience leading technical teams or managing complex engineering projects in a research or high-growth environment
- Ability to translate complex technical concepts for diverse stakeholders and influence technical strategy at a programme level
- Advanced degree (PhD preferred) in Computer Science, Engineering, or a related field with deep domain knowledge in AI systems and hardware architecture
- Track record of delivery, moving sophisticated technical prototypes through to production-grade, scalable systems
- Experience with GPU optimisation, performance modeling, and the simulation of large-scale infrastructure workloads
Desired Qualifications
- Experience managing cross-functional teams in AI infrastructure, ML systems, or computer architecture
- Familiarity with Agile or other modern technical project management frameworks
- Knowledge of modern inference-serving frameworks (e.g., vLLM)
- Background in statistics, operations research, or large-scale datacenter infrastructure
- Contributions to open-source AI or systems projects
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