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Tactile Perception Algorithm Engineer

Singapore
Social Recruitment/Campus Recruitment/Intern
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At Sharpa, we manufacture time by making robots useful.

Founded in 2024, Sharpa is an AI robotics company inspired by the Sherpa people of the Himalayas - known for guiding and assisting alpinists on their difficult journey to the summit. We build general purpose robots that assist, not replace, humans - freeing people from repetitive and strenuous work so they can pursue inspiring endeavors.

Our team is made up of geeks and innovators with backgrounds at leading AI and robotics companies. We are dedicated to developing ultra-high performance, autonomous robotic systems capable of adapting to the complexity of real world environments. Sharpa operates out of Singapore, Shanghai and Mountain View.


What you'll be doing:

  • Design, train, and deploy tactile perception algorithms. Improve algorithm performance and robustness.
  • Process tactile sensor data; design and optimize data pipelines; construct datasets.
  • Apply tactile perception to robot dexterous manipulation, human-robot collaboration, and other scenarios.
  • Read research papers and track the latest advancements in relevant algorithms.


What we're looking for:

  • Master's degree or higher in Computer Science, Electronics, Communication, Geomatics, Mathematics, Physics, or a related field; OR relevant research/project experience in Computer Vision, Computer Graphics, Computational Optics, Machine Learning, Artificial Intelligence, Signal Processing, etc.
  • Proficient in programming languages such as Python and C/C++, with strong coding skills.
  • Solid understanding of deep learning theory, the PyTorch framework, and neural network architectures (CNN, Transformers, etc.); capable of completing the full iterative cycle from data to algorithm.
  • In-depth understanding of concurrent programming; familiarity with CUDA is preferred.
  • Prior project experience in robotics manipulation, perception & planning/control, SLAM, or related fields is preferred.

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