Overview
Samsung Research UK (SRUK) is seeking exceptional and highly motivated Senior Research Engineer to join our growing AI team in Staines-upon-Thames. We are at the forefront of developing innovative technologies for future Samsung devices and services, and this role offers a unique opportunity to shape the next generation of mobile experiences. You will be instrumental in translating cutting‑edge research into real‑world impact, working on challenges that demand both creative problem‑solving and robust engineering practices.
Responsibilities
* Profile and debug performance bottlenecks at the OS, runtime, and model levels.
* Work across the stack: from model conversion, quantization, and optimization through to runtime integration of AI models on-device.
* Evaluate and compare different deployment toolchains and runtimes for latency, memory, and accuracy trade‑offs.
* Contribute an open‑source library by adding new features and improving its capabilities.
* Evaluate the performance of algorithms and systems through rigorous experimentation and statistical analysis.
* Lead the development of software prototypes and experimental systems, ensuring high code quality and maintainability.
* Collaborate with a multidisciplinary team of researchers and engineers to integrate research findings into Samsung products and services.
* System level performance analysis and strong OS fundamentals (memory management, multithreading/synchronisation, user/kernel mode interaction) and Virtual Machines.
* Understanding of ARM CPU architectures.
* Expert proficiency in Python and Rust programming languages.
* Solid understanding of machine learning and deep learning fundamentals, including various architectures, and evaluation metrics.
* Strong analytical and problem‑solving skills, with the ability to design and conduct rigorous experiments.
* Excellent communication and teamwork skills, with a results‑orientated attitude.
* Proficiency in problem solving and debugging.
Desirable Skills
* Expert proficiency in C and C++ programming languages.
* Experience working with ARM 64‑bit architecture.
* Familiarity with CPU hardware architectures.
* Experience with trusted execution environments, specifically confidential computing.
* Previous hands‑on experience with deep learning model optimization: quantization, pruning, distillation, or operator‑level optimizations.
* Experience with deploying AI models on-device (mobile, embedded, XR, edge accelerators, etc.).
* Familiarity with on‑device / lightweight inference runtimes such as ExecuTorch, llama.cpp, or Candle (or similar libraries).
Contract Type
6 Month outsourced contract inside IR35, working on an hourly rate via one of our preferred recruitment agencies.
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