AI Applications Engineer – Machine Learning for Photonic Compute Accelerators

Stuttgart

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Your mission

We are seeking a talented AI Applications Engineer to join our cutting-edge team developing next-generation photonic compute accelerators. In this role, you will design, implement, and optimize machine learning algorithms tailored for our negative computing platform, enabling ultra-fast, energy-efficient AI computation. You will bridge the gap between algorithm development and photonic hardware capabilities to unlock new performance paradigms in AI acceleration.

Key Responsibilities:
  • Develop and optimize machine learning algorithms specifically designed for our native compute platform.
  • Collaborate with our system architects to integrate AI models seamlessly onto our photonic platforms.
  • Design and implement application-level solutions that leverage photonic hardware for real-world AI workloads.
  • Conduct performance analysis and benchmarking of AI models on photonic accelerators, identifying bottlenecks and optimization opportunities.
  • Research and prototype novel AI techniques that exploit the unique properties of our photonic computing.
  • Work closely with cross-functional teams including hardware design, software engineering, and system integration.
  • Contribute to documentation, technical reports, and publications related to AI and photonic computing advancements.
  • Stay up to date with the latest developments in machine learning, photonics, and hardware acceleration technologies.

Your profile

  • Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Physics, or a related field (PhD preferred).
  • Strong background in machine learning, deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Experience in developing and optimizing AI algorithms for specialized hardware accelerators.
  • Familiarity with photonic computing concepts and architectures is highly desirable.
  • Proficiency in programming languages such as Python, C++, or similar.
  • Experience with hardware-software co-design and understanding of hardware constraints.
  • Strong analytical and problem-solving skills.
  • Excellent communication and teamwork abilities.

Why us?

  • Make growing demand in compute and sustainability go hand in hand.
  • Work on leading edge photonic AI acceleration technologies.
  • Collaborative and innovative work environment.
  • Own your work from day one and fast-track your professional growth.
  • Work alongside a passionate, international, cross-functional team of experts.
  • Collaborate closely with the company’s founders and core leadership team.
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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Architecture Computer Science Deep Learning Engineering Machine Learning PhD Physics Python PyTorch Research TensorFlow

Perks/benefits: Career development

Region: Europe
Country: Germany

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