Are you interested in working on the next generation of Machine Learning based Edge devices? Are you passionate about 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 the cutting edge Arm IP that will power the next generation of mobile apps, portable devices, home automation, smart cities and self-driving cars!
Role
Working in an Agile team you will design, develop and deliver various features of the product. You will be highly motivated and required to contribute individually and as part of the team. You will be expected to take ownership and responsibility for different parts of the code as you become familiar with the product.
Essential skills and experience:
- Good embedded SW development experience (e.g. Bare-metal, RTOS, drivers, I/O, memory, power, security)
- Strong analytical and problem solving skills
- Proven development experience in C, C++ or Python
- Ability to design, develop, test and debug complex software
- Great communication skills
- Capability to cooperate closely in a diverse team, striving to fulfil common goals
- Comfortable working in a fast paced and dynamic environment
- Technical Degree or Industry experience e.g. Machine Learning, Computer Science, Electrical Engineering, Physics or equivalent experience
Desirable skills and experience:
- Experienced with version control systems and code review (e.g. Git, Gerrit)
- Participation in organised development methodologies including defect tracking
- Eagerness to find innovative solutions to complex problems
- Knowledge of Machine Learning applications and frameworks
- Demonstrable experience in Agile development, CI and TDD
- Competence in Linux, GCC/LLVM, Makefiles, Scripting
- Understanding of digital signal processing or control systems
#LI-CM1
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.