Graduate Engineer

Job Description

We have a phenomenal 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!

The Role

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.

As an ML Compiler engineer, you will work/develop/design/architect new features and evaluate their performance. The features are mainly in the field of ML compiler development, SW optimization and test automation. You will be working closely with the ML HW team to ensure optimal code generation, efficient utilization of HW resources and provide input regarding microarchitectural development of next generation HW IP.

For a sneak peek of ARM Lund, please have a look at the following video: http://bit.ly/2kxWMXp

Crucial

• Master’s or PhD degree in Machine learning, Electrical Engineering, Engineering Physics, Computer Science, or similar technical field.
• Strong analytical skills, eagerness to find innovative solutions to sophisticated 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, together striving to fulfil common targets.
• Strong programming skills (C, C++, Python).
• Understanding of internal compiler behaviours and representations
• Knowledge of compiler optimisation and code generation techniques
• Awareness of hardware architecture principles

Desirable

• Experience with compiler technology such as MLIR or LLVM
• Source control skills (Git, Gerrit, Repo)
• Worked and developed using methods like agile SW development, continuous integration and Test driven development.
• Experience with Machine Learning applications and frameworks
• Sound understanding of signal processing, control system.