AI Applications Engineer – Machine Learning for Photonic Compute Accelerators
Stuttgart
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Q.ANT GmbH
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.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Deep Learning Engineering Machine Learning PhD Physics Python PyTorch Research TensorFlow
Perks/benefits: Career development
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