Working Student AI/ML

Tensordyne
München

About Tensordyne (formerly Recogni)

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, you'll have the opportunity to work at the forefront of generative AI, engaging with large language models (LLMs) as well as multimodal systems for video, image, and speech. You'll contribute directly to developing features that deliver blazing-fast, high-accuracy inference on our custom-built hardware.

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. We encourage knowledge sharing, with opportunities to publish your work as a conference paper or blog post to enhance its impact.

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

What you'll bring

  • Strong understanding of generative AI models such as LLMs and Diffusion models, with the ability to evaluate and quantify their performance.
  • Familiarity with model quantization techniques, using both open-source tools and proprietary approaches.
  • Ability to analyze and interpret model architectures, identifying nuances and edge cases in performance profiling.
  • Interest in multi-modal AI and motivation to extend our model zoo with the SOTA models.
  • Clear communication skills for documenting results and collaborating effectively with the AI team and across the company.
  • Curiosity and initiative to stay current in the field by engaging with research papers, technical blogs, and community events.

Qualifications

  • Currently enrolled in a Master's program in Electrical Engineering, Robotics, Computer Science, or a related AI-focused field.
  • Solid understanding of modern deep learning models and methodologies. Knowledge of DNN hardware acceleration and model compression techniques such as low-precision quantization or profiling is a strong plus.
  • Practical experience developing AI applications through internships, academic projects, personal work, or other engagements. Prior exposure to generative AI is preferred.
  • Strong ability to analyze and distill insights from research publications in the AI field.
  • Proficiency with core tools and frameworks, ideally including:
    • PyTorch
    • Python
    • Git
    • Rust [Nice to have]
  • Ability to thrive in a fast-paced, multidisciplinary environment. Successful candidates are curious, embrace challenges, and are committed to continuous learning and improvement.

Why Tensordyne?

  • Ground-floor opportunity to help shape one of the most exciting new companies in the AI space.
  • Continuous learning and development alongside a diverse, talented peer group, including experts in AI, computer vision, systems engineering, device engineering, and operations.
  • Modern, thoughtfully designed workspace that fosters collaboration and creativity.
  • Perks that support your well-being, including meals, snacks, beverages, and gym access.
  • A sharp, motivated, and supportive team that values both excellence and a fun culture.
  • Potential to continue with us after graduation as a full-time employee, including participation in our Employee Stock Option Plan.

Tensordyne's Culture

  • Put people first. We only succeed when our people succeed.
  • Lead with ethics and integrity by being open, honest, and respectful.
  • Think big, set ambitious goals, and pursue bold ideas.
  • Strive for excellence. Quality matters in everything we do.
  • Take ownership and deliver results.
  • Elevate one another. Together we achieve more than we could individually.
  • Value and embrace differences, recognizing that diversity makes us stronger.

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.

Veröffentlicht am 2026-05-26

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