20 days ago
Lund, SwedenEntry Level
Responsibilities
- Develop and investigate machine-learning software approaches for Arm Neural Processing Units.
- Work on speculative decoding for mixture-of-expert inference.
- Explore reliable and efficient sustained LLM inference through the Vulkan ML Emulation Layer.
- Investigate memory- and performance-aware operator scheduling for Vulkan ML inference.
- Specify a preferred project and submit a project proposal if pursuing an original idea.
- Apply university knowledge to real-world machine-learning software and engineering challenges.
Requirements
- Currently enrolled in and studying toward a master’s degree.
- Solid understanding of machine learning, neural networks, and mathematics.
- Programming experience in C, C++, and Python.
- Familiarity with machine-learning frameworks such as PyTorch.
- Professional proficiency in English.
- Affiliation with a Swedish university or college, directly or through an exchange program.
- Interest in machine learning and software development, with curiosity, creativity, collaboration, attention to detail, and effective communication skills.
- Knowledge of Transformers, LLM architecture, computer architecture, and micro-architecture is advantageous.
- Submit a university transcript and an English CV with the application.
Benefits
- Regular feedback and development opportunities throughout the thesis project.
- Social activities and insights into state-of-the-art machine-learning research and development.
- One-time project completion fee of SEK 60,000.
- Hybrid working arrangements determined by the team, with details provided during the application process.
- The project is reviewed on a first-come, first-served basis.
- Applicants must already have the right to work in Sweden without sponsorship for the full project duration.
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About Arm
Arm’s foundational technology is defining the future of computing. A future built by the greatest technology ecosystem in the world. A future built on Arm. Arm is everywhere technology matters. Technology matters everywhere. Together, we’ll power every technology revolution moving forward, including cloud computing, automotive and autonomous systems, IoT, the metaverse, and beyond. Changing the world. Again. On Arm.