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Paid Internship
Work Mode
Time Spent
Required Degree
Duration

19Open Positions

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    Found 1 month ago
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  • Schülerpraktikum (all genders)

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago
  • Schülerpraktikum

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago
  • Schülerpraktikum (all genders)

    MTU Aero Engines AG
    Langenhagen, Germany
    Found 3 months ago

Software Engineer Intern, AI Compiler

tenstorrentuniversity
Found 1 month ago
Location
Belgrade, Serbia
Duration (Months)
4.5 Months
Time
Not disclosed
Work Mode
On-site
Salary
Not disclosed
Visa Help
Not disclosed
Last Verified
1 month ago

Education

  • Bachelor
  • Master
  • PhD

Skills & Qualifications

Technical Skills

  • Python
  • C++
  • RISC-V
  • AI hardware-software co-design
  • MLIR-based infrastructure
  • neural networks
  • deep-learning architectures

Soft Skills

  • programming
  • algorithms
  • data structures
  • collaboration
  • curiosity
  • commitment to solving hard problems

Job Description

At Tenstorrent, we believe the future of computing must be open, which is why our interns don’t just watch from the sidelines - they help build the core of it. We provide a "code-to-career" pipeline where students collaborate with industry experts to solve high-stakes problems in RISC-V and AI hardware-software co-design. By joining us, you are taking an internship to democratize high-performance computers that are accessible to everyone. As an intern, you will experience how we do engineering for 3-6 months, working on a carefully defined and real engineering project, guided by a dedicated mentor and a manager, and as a part of a team. This role is on-site, based in our Belgrade office.

Requirements

  • final-year BSc student or higher in Computer Science, Engineering, Math, or a related technical field.
  • strong passion for programming and a solid grasp of algorithms and data structures.
  • proficient in programming languages, particularly Python and C++.
  • passionate about neural networks and related deep-learning architectures.

Related Field

  • Software Engineering

Related Subfield

  • AI/ML/GenAI Engineering
▶Apply Now

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