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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

8Open Positions

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AI Software Research Intern

Intel Corporation
Found 1 month ago
Location
Remote, United Kingdom
Duration (Months)
6 Months
Time
Full-time
Work Mode
Remote
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • PhD

Skills & Qualifications

Technical Skills

  • optimizing compilers
  • kernel generation
  • computer architecture
  • dense linear algebra optimizations
  • MLIR/LLVM based compiler
  • linear algebra
  • vector code generation
  • CPU/GPU modelling
  • kernel generation for dense linear algebra
  • compilers
  • DSLs
  • direct assembly
  • LLM-driven exploration
  • roofline analysis
  • communication avoidance
  • replication
  • caching behavior
  • register pressure

Soft Skills

  • Collaborates with engineering teams
  • collaborative environment

Job Description

* Supports the design and development of systems and solutions that integrate silicon components, board, and software to meet customer requirements for a specific product segment. * Assists in system level troubleshooting, network design, and root cause analysis of failures. * Collaborates with engineering teams to ensure system reliability and performance across diverse use cases. * As an intern, learns and applies knowledge, builds skills, and explores future career opportunities through hands on experience and projects that support Intel business goals in a collaborative environment.

Requirements

  • Working towards a PhD in computer science or related subject.
  • Public experience (papers, upstream commits, etc.) on optimizing compilers, kernel generation, computer architecture and dense linear algebra optimizations.
  • Knowledge of MLIR/LLVM based compiler, specifically related to linear algebra, vector code generation, CPU/GPU modelling.
  • Experience on kernel generation for dense linear algebra via use of compilers, DSLs, direct assembly or LLM-driven exploration.
  • Understanding of the trade-offs of modern optimization strategies such as roofline analysis, communication avoidance, replication, caching behavior, register pressure, etc.

Related Field

  • AI & Machine Learning

Related Subfield

  • AI Research

Languages

  • English
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