Compiler Engineer (Machine Learning)
Arm · Lund
Are you interested in working on the next generation of Machine Learning based Edge devices? Are you passionate about compilers and embedded computing?
This is a fantastic opportunity to get into the exciting world of Embedded ML with a company that can enable your ideas to shape the future!
Arm works with the industry’s best companies to build sector-leading products from our designs. You will share ideas, learn new skills and collaborate with the best engineers in the world. We work in small dynamic teams that allow your contributions to have a big impact on creating innovative Arm IP that will power the next generation of mobile apps, portable devices, home automation, smart cities and self-driving cars!
Role
We working using Agile methodologies that are goals focused. You will design, develop, debug and deliver features to our highly successful products. You will be highly motivated and required to contribute individually and in collaboration with others. You will be expected to take ownership and responsibility for different parts of the code as you become familiar with the product. We will support you in your daily activities and career deployement.
Essential skills and experience:
Good Embedded SW development experience (e.g. Bare-metal, RTOS, drivers, I/O, memory, power, security)
Proven ability to design, develop, test and debug complicated software in C, C++ or Python
Strong analytical skills and a passion for solving complex problems
Great communication skills and an ability to cooperate in a diverse team, striving to fulfil common goals
Knowledge of compiler fundamentals
Understanding of hardware processing pipelines
Technical Degree or Industry experience e.g. Machine Learning, Computer Science, Electrical Engineering, Physics or equivalent experience
Desirable skills and experience:
Knowledge of Machine Learning applications and frameworks
Participation in organised development methodologies including defect tracking
Experienced with version control systems, code review and management platforms
Knowledge of computer architectures
Understanding of digital signal processing or control systems
Experience in Agile development, CI/CD and TDD
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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
- accommodations@arm.com
- . 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.