Master thesis: MLIR based compiler transformation for AI applications at Ericsson
Stockholm, , Sweden -
Full Time


Start Date

Immediate

Expiry Date

06 Jan, 26

Salary

0.0

Posted On

08 Oct, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

MLIR, LLVM, Python Programming, NumPy, Pandas, Scikit-learn, Embedded Programming, Deep Learning Frameworks, JAX, TensorFlow, PyTorch, Communication, Collaboration

Industry

Telecommunications

Description
Is very curious about new technology, and a quick learner with open mind. Is currently enrolled in a quantitative MSc program such as Computer Science, Data Science, Statistics, or a related field. Has a strong understanding of MLIR or LLVM compiler techniques. Has hands-on experience with Python programming and common ML libraries (NumPy, Pandas, scikit-learn, etc.). Has hands-on experience with embedded programming. Ideally has practical experience with deep learning frameworks (e.g., JAX, TensorFlow, PyTorch) Communicates well in English and enjoys working in a collaborative environment.
Responsibilities
The role involves working on MLIR based compiler transformations for AI applications. The candidate will engage with new technologies and collaborate with team members.
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