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Browse Open JobsNLP Performance Engineer
Summary by AIEngineer.careers
NLP Performance Engineer is a AI Infrastructure Engineer role (full-time). with G-Research. in GREATER LONDON, GB. Imported listing (source: gresearch.com). Apply on the employer's site (gresearch.com).
Imported listing (source: gresearch.com) · Apply on gresearch.com
GREATER LONDON · GB
—
Full-time
SENIOR
The sections below reproduce the third-party job description for reference. AIEngineer.careers does not write or control this text.
Imported job description
Sourced from gresearch.com
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
Greater London · GB · 1039+ employees
G-Research is a prominent quantitative finance research and technology firm that applies scientific rigour, machine learning, and advanced analytics to predict movements in global financial markets. Founded in 2001, the firm unites world-class researchers and engineers to build sophisticated trading strategies.
