Graduate ML Hardware Modelling Engineer
4 months ago
Role Overview
Job Overview:
We have a fantastic opportunity to move into Machine Learning and Artificial Intelligence, key technologies for the future of computing. Working on cutting edge 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.
Our next generation NPU development starts in the HW modelling platform and as a graduate HW Modelling engineer, you will work/develop/design/architect new features and evaluate their performance. You will work closely with the ML HW design and verification teams, contributing to the design, specification and verification of the product. You will also assist the compiler team to ensure the HW is run at optimal performance and support the model as an external deliverable in customer engagements.
As a Graduate Engineer, you are accountable for delivery of well-tested, high quality code to ML HW modelling projects, as well as cooperating with the HW design and verification team to debug issues and support development.
For a sneak peek of ARM Lund, please have a look at the following video:
Required Skills and Experience:
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 complex problems. Comfortable working in a fast paced and dynamic environment Enjoy working in an environment where you cooperate closely in a diverse team of colleagues, striving together to reach common targets. Genuine interest and strong skills in programming (C, C++, Python).
“Nice To Have” Skills and Experience:
Source control skills (Git, Gerrit, Repo) Understanding of SystemC and HLS flows Understanding of HW design and/or modelling Knowledge of agile SW development methods Knowledge of Machine Learning applications and frameworks Understanding of signal processing and control system
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, supplementary pension, 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 team 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.
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