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NLP Performance Engineer
GREATER LONDON · GB
—
Full-time
SENIOR
About the Role
G-Research is hiring an NLP Performance Engineer to optimize large-scale LLM inference workloads on advanced GPU infrastructure. This specialist Quantitative Developer will profile and benchmark model serving, implement inference optimizations, and build tooling to improve the performance and cost-efficiency of the firm's NLP platform.
Responsibilities
- Profile, benchmark and optimize large-scale LLM inference workloads across compute infrastructure
- Ensure efficient deployment of the latest models across GPU architectures and adapt the inference stack as hardware evolves
- Design and implement inference optimizations while maintaining output quality
- Develop reference implementations, libraries and tooling for efficient and reliable NLP workloads
- Collaborate with researchers, senior stakeholders and engineers to design optimized solutions
- Work with systems, architecture and platform teams to evolve the compute stack and influence long-term platform decisions
Requirements
- Bachelor's, Master's or PhD in computer science or equivalent experience
- Proven experience profiling, benchmarking and optimizing large-scale LLM inference workloads
- Scientific, evidence-led approach to performance optimization using rigorous benchmarking and reproducible measurement
G
G-Research
London · GB · 1000+ employees
G-Research is a leading quantitative finance research and technology firm that applies scientific rigour, advanced machine learning, and cutting-edge technology to predict movements in global financial markets. It brings together researchers and engineers to build sophisticated trading strategies and robust infrastructure.
