Tensordyne

Working Student - ML Compiler

Munich, Germany full-time Mid Salary not listed
full-time Mid level Technology & IT Curated
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About the role

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.
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Mid
Technology & IT Human Resources Python Working Student Compiler Mid level

Likely questions

  1. Tell us about work you have done that is close to the Working Student - ML Compiler role.
  2. How would you approach your first 30 days at Tensordyne?
  3. Which of Human Resources, Python and Working have you used recently, and what did it help you achieve?
  4. Describe a time you solved a problem without waiting to be told exactly what to do.
  5. How do you handle busy days, changing priorities, or pressure at work?

Prepare before the call

  • A recent example that proves your experience with Human Resources, Python and Working.
  • One short story with a problem, your action, and the result.
  • Two examples that show the strengths listed on your CV.
  • A clear reason why this role and company interest you.
  • Your availability, preferred work style, and salary expectations.

Ask them

  • What would success look like in the first 90 days?
  • What are the main problems this hire should help solve?
  • How does the team give feedback and measure good work?
  • What does a normal working week look like for this role?
Practice line

I am interested in the Working Student - ML Compiler role because I can bring practical experience in Human Resources, Python and Working, learn the team quickly, and contribute to the outcomes Tensordyne needs from this hire.

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