2023 Graduate ML Software Engineer

Key Skills

Agile methodologies, C Programming, C++, Debugging, Java Programming, Linux Operating system, MATLAB Programming, Python Programming, Signal processing

Job Description

We have a fantastic opportunity to move into Machine Learning and Artificial Intelligence, key technologies for the future of computing. Working on the cutting edge of Arm IP, crafting technology that powers the next generation of mobile apps, portable devices, home automation, smart cities, self-driving cars, and much more!

Arm is entering a new growth phase to develop innovative technologies and products for existing and new markets. To do this we need hardworking and motivated people to join our team. Working with the world’s best companies as they build sector-leading products from our designs. You’ll share ideas with and learn new skills from the best engineers in the world. We work in small teams, so your contributions will make a difference. This role offers the opportunity to lead, challenge the status quo and ultimately change the world of ML and AI!

Responsibilities:

The team in Lund is responsible for machine learning hardware and software IP.

You will work/develop/design/architect new features and evaluate their performance. The features are mainly in the field of machine learning, signal processing software, compilers, test frameworks, test automation but also on system-level software like RTOS, memory handling, Ethernet, UART, debug protocols and more.

Required Skills and Experience :

• Ongoing/Finalized Master’s or PhD degree in Machine learning, Electrical Engineering, Engineering Physics, Computer Science, or similar technical field. Please include your University Transcript (Grade sheet) to your application together with your English CV
• Strong analytical skills, eagerness to find innovative solutions to complex problems.
• Comfortable working in a fast paced and dynamic environment
• Like to work in an environment where you cooperate closely in a diverse team of colleagues, striving together to fulfil common targets.
• Sound understanding of signal processing, control system.
• Good programming skills (C, C++, Matlab, Java, Python).
• Proficient in a Linux development environment

Nice To Have Skills and Experience :

• Experience in Embedded SW System parts (RTOS, drivers, I/O, TCP/IP, memory)
• Experience with Embedded SW development
• Source control skills (Git, Gerrit, Repo)
• Knowledge in agile work methodology
• ML applications
• Working with JTAG/Trace debugging.

In Return:

All Arm employees are provided with vital training to succeed in their respective roles. As well as a friendly and high-performance working environment, Arm offers a competitive benefits package in Sweden including private medical insurance, 30 days of annual leave, sabbatical, a supplementary pension, and wellness benefits. At Arm, we have a hybrid working approach where we offer people the flexibility to work part of their time from home and part of the time from the office.

You will be working with a bunch of enthusiastic and brilliant colleagues. At Arm, we are proud to have a set of behaviours that reflect our DEI (Diversity, Equity & Inclusion) culture and guide our decisions, defining how we work together to shape extraordinary! These behaviours are assessed as part of the recruitment process: We not I, Do great things and Be your brilliant self.

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 any characteristic.

Hybrid Working at Arm

Arm’s hybrid approach to working is centred around flexibility, where we split our time between the office and other locations to get our work done. We empower groups/teams to determine their hybrid working pattern, with an expected minimum attendance in the office of 20% per month, depending on the work, level of experience and team’s needs. 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.