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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Software Engineer - AI Compiler - **Company:** Arm Limited - **Location:** Cambridge, UK - **Experience:** Expert - **Salary:** £99,500.0 - **Contract:** Permanent contract - **Skills:** Testing (Software), Computer-Aided Design, Artificial Intelligence, Artificial Neural Networks, C++ (Programming Language), Device Drivers, Memory Management, Field-Programmable Gate Array (FPGA), Python (Programming Language), Machine Learning, Performance Tuning, Software Engineering - **Published:** September 29, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=e7517b4f2433db77 ## About the Role We are looking for an engineer who has a desire to build knowledge, learn new skills, can adapt to a constantly evolving environment and who enjoys complex problem solving. Given the impact and reach of this technology, you'll have an opportunity to collaborate with specialists across the company., * Experience with the whole software lifecycle - taking complex software from initial design through to production and support * Strong programming expertise in C++ and Python * Compiler knowledge, ideally experience with ML compilation technologies such as MLIR or TVM * Understanding of how to rigorously test software and design software for test * Ability to effectively use AI tools when working on a shared codebase * Capable of working independently or in small groups, with a high degree of initiative * Fluency in English, both written and spoken * Good communication skills and collaborative mindset "Nice To Have" Skills and Experience : * Experience using software simulators and/or FPGAs * Exposure to any of the following: driver development, inference engines like llama.cpp or vLLM, performance analysis of ML and GenAI workloads, knowledge of Neural Network Processing Units (NPU) or Graphics Processing Units (GPU) and how they are used for ML. ## Description Arm's Central Technology Machine Learning Group is looking for highly motivated and creative software engineers to join the ML compiler development team! You would join our diverse and dedicated team shaping the future of AI on Arm's platforms. We work on all aspects of ML graph compilation - model ingestion, low-level hardware programming, efficient memory allocation and performance optimisation., You will contribute to the design and implementation of an AI/ML compiler and ensure that it integrates well with rest of our ML software stack., Arm's approach to hybrid working is designed to create a working environment that supports both high performance and personal wellbeing. We believe in bringing people together face to face to enable us to work at pace, whilst recognizing the value of flexibility. Within that framework, we empower groups/teams to determine their own hybrid working patterns, depending on the work and the team's needs. Details of what this means for each role will be shared upon application. In some cases, the flexibility we can offer is limited by local legal, regulatory, tax, or other considerations, and where this is the case, we will collaborate with you to find the best solution. Please talk to us to find out more about what this could look like for you. ## Related Videos - [Introduction to Azure Machine Learning](https://www.wearedevelopers.com/videos/368-introduction-to-azure-machine-learning) - [Guided Memory Management: Rust's Ownership Model](https://www.wearedevelopers.com/videos/809-guided-memory-management-rust-s-ownership-model) - [Coffee with Developers - Stephen Jones - NVIDIA](https://www.wearedevelopers.com/videos/1303-coffee-with-developers-stephen-jones-nvidia) - [Unleashing the Full Potential of the Arm Architecture – Write Once, Deploy Anywhere](https://www.wearedevelopers.com/videos/940-unleashing-the-full-potential-of-the-arm-architecture-write-once-deploy-anywhere) - [How Machine Learning is turning the Automotive Industry upside down](https://www.wearedevelopers.com/videos/61-how-machine-learning-is-turning-the-automotive-industry-upside-down) - [Android beyond mobile: Cars, TVs, and Wearables](https://www.wearedevelopers.com/videos/553-android-beyond-mobile-cars-tvs-and-wearables) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [Dev Digest 157: CUDA in Python, Gemini Code Assist and Back-dooring LLMs](https://www.wearedevelopers.com/magazine/557-dev-digest-157-cuda-in-python-gemini-code-assist-and-back-dooring-llms)