Ai Software Engineer Job at Meta (London)

Ai Software Engineer

Meta

Location:
United Kingdom , London

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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Job Description:

Meta is seeking a Software Engineer to join our team. The candidate is someone with experience working on maximizing performance of AI models on GPUs or custom silicon. This role involves applying these skills to solve some of the most crucial and exciting problems that exist on the web. The AI Applications Engineering team is dedicated to maximizing training and inference performance of Generative AI (GenAI) and Recommendation models on Meta's Training and Inference Accelerator (MTIA). We employ innovative optimization and parallelization strategies to maximize training throughput for the next generations of GenAI and recommendation models. Additionally, we work cross-functionally with many partner teams to ensure end-to-end performance of large-scale pre-training and inference, enabling us to deliver the next generation of AI experiences more quickly to our users.

Job Responsibility:

Apply in depth knowledge of AI infrastructure and hardware acceleration techniques to build and optimize our intelligent AI systems that improve Meta’s product and experiences
Goal setting related to project impact, AI system design, and infrastructure efficiency
Directly or influencing partners to deliver impact through thorough data analysis
Drive large efforts across multiple teams
Define use cases, and develop methodology & benchmarks to evaluate different approaches
Apply in depth knowledge of how the AI infra interacts with the other systems around it

Requirements:

Bachelor’s degree in computer science or a related STEM field
Specialized experience in one or more of the following AI/deep learning domains: AI infrastructure, hardware accelerators, high performance computing, AI compilers, performance optimizations, GPU architecture, on-device optimization, AI frameworks (PyTorch), HW/SW co-design and numerics
Experience developing AI algorithms in C/C++ or Python for large-scale AI applications

Nice to have:

Master's degree/PhD in computer science or related STEM field and practical experience in AI development or accelerating AI models on AI accelerators
Experience with distributed heterogeneous systems or on-device algorithm development
Expertise in AI hardware accelerator architectures
Experience with recommender and ranking models
Experience in accelerating large AI models across multiple compute nodes
Proven technical leadership experience

Additional Information:

Job Posted:
January 26, 2026

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