Master Thesis in ML Software (Lund) - SEK60k Bonus

Arm; Lunds kommun; On-site; SEK 54,000 - 66,000; Full time

Benefits offered by this job

Completion bonus SEK 60,000

Job summary

Arm in Lund, Sweden invites master’s students to contribute to real-world projects by pursuing a Master’s thesis. You will work on cutting-edge ML/NPU topics, collaborating with researchers to advance edge ML on NPUs and engage with university partners.

The role requires being enrolled in a Swedish university, solid ML foundations, programming in C/C++/Python, and strong English skills. Visa sponsorship is not offered; hybrid or on-site collaboration may be available.

Qualifications

• Currently enrolled and studying towards a Masters Degree.
• Solid understanding of machine learning, neural networks and good maths knowledge.
• Experience with programming in C/C++/Python and familiarity with ML frameworks such as PyTorch.
• Professional proficiency in English.
• Affiliated with a Swedish university/college either directly or via an exchange program.

Responsibilities

• Speculative decoding for accelerating mixture-of-expert inference
• Reliable and efficient sustained LLM inference through the Vulkan ML Emulation Layer
• Memory- and performance-aware operator scheduling for Vulkan ML inference

Skills

Machine Learning

Neural Networks

Maths knowledge

Programming in C/C++/Python

PyTorch familiarity

English proficiency

Education

Masters degree in progress

Job description

Arm in Lund, Sweden invites master’s students to contribute to real-world projects by pursuing a Master’s thesis. You will work on cutting-edge ML/NPU topics, collaborating with researchers to advance edge ML on NPUs and engage with university partners.

The role requires being enrolled in a Swedish university, solid ML foundations, programming in C/C++/Python, and strong English skills. Visa sponsorship is not offered; hybrid or on-site collaboration may be available.