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Working Student - ML Compiler

Munich, Germany

Pay
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Apply at Tensordyne

What you’ll work on

Full posting
  • Design and implement ML compiler passes and optimizations for custom ASICs

  • Build developer tooling for the production ML compiler

  • Work with ML and embedded systems engineers across teams

From the employer’s posting
Design and implement ML compiler passes and optimizations tailored for our custom ASIC architecture.
Develop intuitive tooling to elevate the developer experience of our production ML compiler.
Work closely with multi-disciplinary teams, ranging from ML to embedded system engineers.

What you’ll bring

All qualifications

Core experience

  • Proficiency in at least one systems language (e.g., C++, Rust)
  • Experience with Python and its ecosystem
  • Solid understanding of graph theory and graph algorithms
  • Passion for compilers
Qualification wording
Proficiency in at least one systems programming language (e.g., C++, Rust).
Experience with Python and its ecosystem.
Solid understanding of graph theory and graph algorithms.
Passion for compilers
Education & alternatives
- Experience with Python and its ecosystem. - Currently enrolled in a Master's program in Electrical Engineering, Robotics, Computer Science, or a related AI field. Nice to Have

Tools in this posting

  • C++
  • Python
  • Rust
Source — Tool mentions in context
- Solid understanding of graph theory and graph algorithms. - Proficiency in at least one systems programming language (e.g., C++, Rust). - Experience with Python and its ecosystem.
- Proficiency in at least one systems programming language (e.g., C++, Rust). - Experience with Python and its ecosystem. - Currently enrolled in a Master's program in Electrical Engineering, Robotics, Computer Science, or a related AI field.

About Tensordyne

Our mission, through the creation of custom silicon, hardware and software, is to enable multimodal Generative AI inference acceleration at scale, with safe, sustainable, high-performance systems for our hyperscaler and neocloud data center customers.

In the employer’s words · Read in context

Posting record

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Actively hiringFirst seen by us 2 days ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Oct 28, 2026 · 2 days ago
Recorded sightings
3
Last seen by us
Oct 29, 2026

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Job description

View original posting ↗

On-site | Part-time (20 hours per week)

About Tensordyne 

Artificial intelligence (AI) is transforming our world. It can perform cognitive functions that previously only humans could do, such as perceiving interactions across different modalities and environments - with the ability to quickly learn and then solve complex problems. Tensordyne is an AI system solution company that builds very high-performance, low-power generative AI inference systems. Our mission, through the creation of custom silicon, hardware and software, is to enable multimodal Generative AI inference acceleration at scale, with safe, sustainable, high-performance systems for our hyperscaler and neocloud data center customers. We are at the leading edge of advancing the latest research and product improvements for generative Al inference solutions that will make Al even more advantageous for compelling new generative AI applications.Tensordyne is a well funded, fast-paced startup company with headquarters in both Sunnyvale, CA, and Munich, Germany. We also have many talented team members working remotely across North America and Europe. We take care of our people and their families with comprehensive benefits, competitive compensation, flexible spending options, and recognition programs, because building category-defining technology starts with a healthy, supported team. Come join us as we shape the future of multimodal generative artificial intelligence!

The Opportunity

At Tensordyne, we are at the forefront of cutting-edge AI hardware and software solutions. To keep pace in this dynamic, interdisciplinary field, we are seeking a Working Student in ML Compiler Engineering to contribute to the development of compilers for our custom ASICs.

This role offers an exciting opportunity to gain hands-on experience in full-stack compiler engineering while working alongside a team of experts in a fast-paced, innovative environment. If you are passionate about machine learning compilers, numerical programming, and performance optimization, we’d love to hear from you!

As a working student, you’ll gain valuable experience in a dynamic and innovative environment that thrives on curiosity and collaboration. This part-time role (20 hours per week) is based on-site at our Munich office..

The specific duties of this role will be shaped by both our business priorities and your individual interests.

Your Responsibilities

  • Design and implement ML compiler passes and optimizations tailored for our custom ASIC architecture.
  • Develop intuitive tooling to elevate the developer experience of our production ML compiler.
  • Work closely with multi-disciplinary teams, ranging from ML to embedded system engineers.

What you'll bring 

  • A highly motivated, curious, and detail-oriented mindset with a strong desire to learn.
  • Passion for compilers
  • Solid understanding of graph theory and graph algorithms.
  • Proficiency in at least one systems programming language (e.g., C++, Rust).
  • Experience with Python and its ecosystem.
  • Currently enrolled in a Master's program in Electrical Engineering, Robotics, Computer Science, or a related AI field.

Nice to Have

  • Familiarity with parallel programming frameworks such as CUDA or OpenMP.
  • Interest in programming language design and compiler theory.
  • Experience with performance optimization.

Tensordyne's culture was built on the following values:

  • Put people first. We only succeed when our people succeed.
  • Ethics and integrity always; Being open, honest, and respectful of everyone.
  • Think Big. Be ambitious and have audacious goals.
  • Aim for excellence. Quality and excellence count in everything we do.
  • Own it and get it done. Results matter!
  • Make each person better together, than they would be as an individual.
  • Embrace each others’ differences, and embrace that there will be differences.

Tensordyne is an equal opportunity employer. We believe that a diverse team is better at tackling complex problems and coming up with innovative solutions. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.

A note to Recruitment Agencies: Please don’t reach out to Tensordyne employees or leaders about our roles -- we’ve got it covered. We don’t accept unsolicited agency resumes and we are not responsible for any fees related to unsolicited resumes. Thank you for your understanding.

Source details

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Location & working pattern

Munich, Germany

On-site | Part-time (20 hours per week) About Tensordyne
More source context
This role offers an exciting opportunity to gain hands-on experience in full-stack compiler engineering while working alongside a team of experts in a fast-paced, innovative environment. If you are passionate about machine learning compilers, numerical programming, and performance optimization, we’d love to hear from you! As a working student, you’ll gain valuable experience in a dynamic and innovative environment that thrives on curiosity and collaboration. This part-time role (20 hours per week) is based on-site at our Munich office.. The specific duties of this role will be shaped by both our business priorities and your individual interests.
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