Engineering Director, AI Infra London, UK • AI Infrastructure • Engineering London, UK AI Infra[...]

Meta; London; On-site; GBP 70,000 - 110,000; Full time

Job summary

An established industry player is expanding its presence in London and seeks innovative leaders to build a multi-disciplinary team focused on AI infrastructure. This role involves managing diverse software engineering teams, driving partnerships, and providing technical leadership. You will play a crucial role in developing a high-visibility project aimed at optimizing heterogeneous workloads. The company values respect, integrity, and innovation, making it an exciting opportunity for those passionate about technology and collaboration.

Qualifications

• Experience building and supporting large-scale distributed systems.
• Significant industry technical experience in leading technical organizations.

Responsibilities

• Build and manage diverse teams of software engineers and engineering managers.
• Provide technical and organizational leadership for engineering efforts.

Skills

Distributed Systems

Performance Engineering

Machine Learning

Technical Leadership

Job description

We want to make investments in growing our London presence to tap into the talent pool outside North America and establish close partnerships with GenAI and RecSys teams there. Currently, we have a small team in London (Feature Store) and are bootstrapping a new multi-disciplinary team with expertise in Distributed Systems, Performance Engineering, and domain-specific knowledge (ML Systems, MLEs) to work on a high-visibility project: building a heterogeneous workload optimization engine on top of the Monarch Single Controller framework. As we expand our AI Infra presence in London, we plan to move additional project work there.

Responsibilities

1. Build, manage, and support diverse teams of software engineers and engineering managers.
2. Handle dependencies, partnerships, and customer relationships effectively.
3. Provide technical and organizational leadership.
4. Form cross-functional and cross-discipline partnerships to drive engineering efforts.
5. Establish and execute effective strategies.
6. Uphold a culture of respect, integrity, inclusion, and innovation.

Minimum Qualifications

• Experience building and supporting large-scale distributed systems.
• Significant industry technical experience.
• Experience recruiting, structuring, leading technical organizations, including performance management.

Preferred Qualifications

• Familiarity with Machine Learning.
• Experience with HPC.
• Experience building AI infrastructure systems at scale.

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