Senior Software Engineer - AI Compiler

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.

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.

You will receive a competitive reward package which includes generous stock awards and a range of benefits to support your wellbeing. We strive to provide an open and accepting environment where you are encouraged to share your ideas and opinions, which enables collective innovation and creativity, and supports your professional and personal growth. Please note this role does not meet the eligibility requirements for sponsorship, and therefore the successful candidate must have the right to work in the UK without relying on sponsorship by Arm. #li-cm1, £73,500

• £99,500

per year