Research Engineer, AI-Driven Systems
Location
Cambridge, England, United Kingdom
Employment TypeFull-time
Posted At3/24/2026
UK Visa Sponsorship Analytics
Occupation TypeIT business analysts, architects and systems designers
Occupation Code Skill LevelHigher Skilled
Sponsorship Salary Threshold
£54,900
(£28.15 per hour)
Occupation rate applies
Above analytics are generated algorithmically based on job titles and may not always be the same as the company's job classification. You can also check detailed occupation eligibility, and salary criteria on our UK Visa Eligible Occupations & Salary Thresholds page.
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Description
About Huawei Research And Development UK Limited
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world.
Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they’re at home, in the office, or on the go.
This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live.
For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs.
This strategic focus is a reflection of our core values:
Founded in 1987, Huawei is a leading global provider of information and communications technology (ICT) infrastructure and smart devices. We have 207,000 employees and operate in over 170 countries and regions, serving more than three billion people around the world.
Our vision and mission is to bring digital to every person, home and organization for a fully connected, intelligent world. To this end, we will drive ubiquitous connectivity and promote equal access to networks; bring cloud and artificial intelligence to all four corners of the earth to provide superior computing power where you need it, when you need it; build digital platforms to help all industries and organizations become more agile, efficient, and dynamic; redefine user experience with AI, making it more personalized for people in all aspects of their life, whether they’re at home, in the office, or on the go.
This spirit of innovation has led Huawei to work in close partnership with leading academic institutions in the UK to develop and refine the latest technologies. With a shared commitment to innovation and progress, both parties have worked together to achieve common goals and establish a strong partnership. The partnership between UK and Huawei help to develop the technologies of the future that will transform the way we all communicate, work and live.
For the past 30 years we have maintained an unwavering focus, rejecting shortcuts and easy opportunities that don't align with our core business. With a practical approach to everything we do, we concentrate our efforts and invest patiently to drive technological breakthroughs.
This strategic focus is a reflection of our core values:
- Staying customer-centric,
- Inspiring dedication,
- Persevering,
- Growing by reflection.
Huawei’s vision is a fully connected, intelligent world. To achieve this, we work to inspire passion for basic research around the world. Our combined passion drives development across the global innovation value chain. Huawei has the largest Research and Development organization in the world with 96,000+ employees in research centers around the globe. In the UK, we already have design centers in Cambridge, London, Edinburgh and Ipswich. We continue to explore and define new research directions and new services. We have expanded our collaborations with academic researchers; researched new network architectures, integration of communications and key enabling technologies; and developed the fundamental theories of these technologies. We invite you to join us on this exciting journey and drive your career forward.
Job Summary
Research and develop agentic multi-agent AI systems that autonomously analyse, optimise, and validate kernel and driver code for mobile platforms. Design intelligent agent pipelines that coordinate specialised LLM-based agents for code profiling, transformation, testing, and performance validation — targeting measurable IPC, latency, and power efficiency improvements across the OS kernel, device drivers, and low-level system components. Explore target-aware optimisations for device-specific builds and leverage architectural simulation (QEMU, GEM5) for validation and design space exploration.
This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited.
Key Responsibilities:
Job Summary
Research and develop agentic multi-agent AI systems that autonomously analyse, optimise, and validate kernel and driver code for mobile platforms. Design intelligent agent pipelines that coordinate specialised LLM-based agents for code profiling, transformation, testing, and performance validation — targeting measurable IPC, latency, and power efficiency improvements across the OS kernel, device drivers, and low-level system components. Explore target-aware optimisations for device-specific builds and leverage architectural simulation (QEMU, GEM5) for validation and design space exploration.
This job description is only an outline of the tasks, responsibilities and outcomes required of the role. The jobholder will carry out any other duties as may be reasonably required by his/her line manager. The job description and personal specification may be reviewed on an ongoing basis in accordance with the changing needs of Huawei Research and Development UK Limited.
Key Responsibilities:
- Architect and implement multi-agent orchestration frameworks — designing how specialised agents (analysis, transformation, verification, benchmarking) communicate, share context, and reason about cross-layer dependencies across kernel subsystems, drivers, and memory management.
- Strong problem-solving skills with solid experience in Python and C/C++.
- Understanding of operating system internals — kernel architecture, memory management, device drivers, or system-level programming.
- Passionate about the potential of AI agents to autonomously improve systems-level code, with curiosity and drive to work at the intersection of LLMs and OS engineering.
- Experienced Linux user comfortable working with source code, build systems, and command-line tools.
- Familiarity with LLM APIs, prompt engineering, or agentic AI frameworks (e.g., LangChain, LangGraph, AutoGen, CrewAI, or similar orchestration tools).
- Experience with aarch64 toolchain (LLVM or GCC) and architectural simulators such as QEMU or GEM5.
- Familiarity with code generation, automated refactoring, program synthesis, or compiler-driven optimisation passes.
- Knowledge of ARM architecture and mobile SoC constraints (power, thermal, heterogeneous compute).
- Experience with performance profiling and benchmarking of kernel or driver workloads.