YOUR QUALIFICATIONS

• A highly motivated, curious, and detail-oriented mindset with a strong desire to learn.
• Strong understanding of AI algorithms and inference optimization techniques.
• Ability to collaborate efficiently on large codebases.
• Proficient in Python, with strong software engineering skills and solid experience in PyTorch.
• Currently enrolled in a Master’s program in Electrical Engineering, Robotics, Computer Science, or a related AI field.

PREFERRED QUALIFICATIONS (NICE TO HAVE)

• Experience in C++.
• Experience with AI accelerators or hardware optimizations.

ABOUT THE ROLE

At Recogni, 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 SDK and compiler frontend development. This role involves designing and implementing a cutting edge AI inference framework for our own custom ASIC hardware. You will gain hands-on experience about state of the art large model deployment while working alongside a team of experts in a fast-paced, innovative environment. If you are passionate about state of the art deployment and optimization of large AI inference models, software design, and machine learning compilers, we’d love to hear from you!

YOUR RESPONSIBILITIES

• Contribute to the development and optimization of our AI inference framework for our own custom ASIC hardware.
• Implement state-of-the-art deep learning models on our custom hardware.
• Validate our SDK through recurring competitor analysis.
• Improve compatibility of our software stack with the broader PyTorch and JAX ecosystem.
• Develop intuitive tooling to elevate the developer experience of our production SDK.