Staff Software Engineer - AI Compiler

CamWebDir; Cambridge; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Stock awards

Wellbeing benefits

Accommodations for recruitment

Job summary

Arm's Central Technology Machine Learning Group in Cambridge is seeking software engineers to design and implement an AI/ML compiler and ensure smooth integration with our ML software stack.

The role requires strong C++ and Python skills, experience across the software lifecycle, and the ability to work independently or in small groups. This is a hybrid role in the UK with opportunities to contribute to innovative ML workloads.

Qualifications

• Experience with the whole software lifecycle from design to production and support.
• Strong programming in C++ and Python.
• Knowledge of ML compilation technologies (MLIR/TVM) and compilers.
• Ability to test software and design for testability.
• Ability to work independently or in small teams with initiative.
• Fluency in English, both written and spoken.

Responsibilities

• Contribute to the design and implementation of an AI/ML compiler.
• Ensure integration with the ML software stack and collaboration across teams.

Skills

C++

Python

ML compilation

MLIR

TVM

SDLC

English fluency

Job description

Job Description

Arm's Central Technology Machine Learning Group is looking for highly motivated and creative software engineers to join the ML compiler development team!

Responsibilities

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.

Required Skills and Experience

• 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.

In Return

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.

Accommodations at Arm

At Arm, we want to build extraordinary teams. If you need an adjustment or an accommodation during the recruitment process, please email [email protected]. To note, by sending us the requested information, you consent to its use by Arm to arrange for appropriate accommodations. All accommodation or adjustment requests will be treated with confidentiality, and information concerning these requests will only be disclosed as necessary to provide the accommodation. Although this is not an exhaustive list, examples of support include breaks between interviews, having documents read aloud, or office accessibility. Please email us about anything we can do to accommodate you during the recruitment process.

Hybrid Working at Arm

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.

Equal Opportunities at Arm

Arm is an equal opportunity employer, committed to providing an environment of mutual respect where equal opportunities are available to all applicants and colleagues. We are a diverse organization of dedicated and innovative individuals, and don’t discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.

Listing found on arm.com via Cambridge Network. Always apply through the employer’s own posting.