inherent - Member of Technical Staff (Infrastructure Engineer, Training and Inference Systems)
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Requirements
• High-performance, large-scale distributed systems experience, preferably for LLM workloads. • Proficiency in Python and PyTorch or JAX. • Hands-on experience with large-scale LLM training or inference technologies, e.g. SGLang, vLLM, verl, Megatron, OpenRLHF. • Good taste: you know when to build, when to buy, and when to delete. • AI-pilled: adopting agents, keen to build a company where agents are front and centre. • STRONG CANDIDATES MAY ALSO HAVE • Experience with a systems programming language like Rust or C++. • Experience with writing and profiling CUDA kernels. • A track record of building reliable research tools.
Benefits
• You'll shape the core technical foundation of a frontier AI lab from the beginning. • The infra problems are unusually hard and creative: iteration speed for recursively self-improving agents, which themselves compound the iteration speed, is the whole game. • Small team, high trust, no bureaucracy, and a genuinely technical culture. • You’ll work alongside world-class colleagues with diverse backgrounds: experts in foundation model training, AI for science, and organisational design. • We only select people with low ego, spiky skill profiles, commitment to societal benefit, unusual viewpoints, and a passion for "living in the experiment". We'll win because we're willing to try things that no incumbent would even think to do, let alone action. • We have really good lunch and dinner. Seriously. You've got to try it. We're based in King's Cross, London and believe in the pace and energy of working in person. We’re committed to having the most tasteful, and the weirdest, office of any AI lab: the environment shapes the agents within it. • If you believe in our mission and culture, and are qualified and motivated, we encourage you to apply, even if you don’t meet every one of the criteria above. We know that many of the most creative and talented people have had unusual career paths and backgrounds. Building a team with a diversity of thought is mission-critical, for plurality spurs curiosity, invention and collective experimentation.
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