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Job Overview:
Are you passionate about pushing the boundaries of technology? We are continuing to grow, and are seeking a highly motivated and creative Software Engineer to join our cross-site and multi-culture Machine Learning software team in Lund!
With us, you will be a part of developing groundbreaking technology and software that powers the next generation of Arm products. Your work will be targeting the most pervasive CPU architecture in the world with over 265 billion devices shipped to date, providing compute in everything from servers, and cars to smartphones, watches and IoT devices.
Responsibilities:
The responsibility for you as a software engineer include designing, implementing and testing software for Arm's portfolio of machine learning IP. The tasks span the whole lifecycle; feature analysis, task breakdown, system design and implementation.
You will be assigned to our team working with resource-constrained devices, targeting machine learning workloads in low-power scenarios. You will collaborate with teams across Arm to ensure seamless integration of AI technologies on Arm IP.
More than anything else, you need a willingness to absorb as much as possible about this new frontier. Given the impact and reach of this field, you’ll be encouraged to share this knowledge with other specialists across the company.
For a sneak peek of Arm Lund, please have a look at the following video: http://bit.ly/2kxWMXp
Required Skills and Experience:
- Master’s degree in Machine learning, Electrical Engineering, Engineering Physics, Computer Science, or similar technical field.
- Strong analytical skills, and eagerness to find innovative solutions to complex problems.
- Strong programming skills (C, C++, Python).
- Experience with embedded systems development.
- Understanding of software development practices, version control and agile methodologies.
- Proficient in the English language, both written and spoken.
“Nice To Have” Skills and Experience:
- Comfortable working in a fast-paced and dynamic environment.
- Good communicator and able to work and communicate at both detailed and high levels.
In Return:
A phenomenal opportunity to work on cutting-edge projects at the intersection of machine learning and embedded systems within a collaborative and inclusive work environment.
All Arm employees are provided with vital training to succeed in their respective roles. Arm offers a competitive benefits package including private medical insurance, 30 days of annual leave, sabbatical, supplementary pension, wellness benefits. We are offering a hybrid approach to home and office working to provide an adaptable experience for all employees. We expect some working time to be spent in office, to promote collaboration with good team integration.