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Algorithm Engineer

About The Position

For our Algo team, we are looking for a brilliant researcher, experienced in the fields of sensor fusion, estimation, navigation, machine learning and signal processing.

About us

Kayhut is a young, innovative, fast-growing company, engaged in cyber research and security solutions. Our Embedded group is focused on RT embedded systems combining elements from RF, GNSS, simulation and other fields. We are unlike any other company you’ve ever worked for. We do what nobody else does and we have great fun doing it.

Follow your passion!

Alternate between research, design and development of innovative algorithms. Challenge yourself to deliver noncompromising performance under super challenging system constraints and experience real-world challenges of embedded systems interacting dynamically with the physical world.


  • Collaborate closely with cross-functional teams including field-specialists, researchers, simulation engineers, and software developers, to understand project requirements and translate them into algorithmic solutions.
  • Solve unique problems characterized by challenging conditions, in data-sparse environments, while optimizing computational resources.
  • Analyze black-box and white-box C++ code-based hardware systems.

·        Implement and optimize algorithms using Python and Matlab. Collaborate with software engineers to integrate the algorithms into production.

·        Provide profound analysis and operational research, using theoretical analysis, mathematical formulation, simulations, and hands-on lab experiments.



  • MSc or PhD in Engineering, Physics, Mathematics or Aerodynamics.
  • 3 years minimum experience in R&D and algorithm development.
  • Proficiency in signal processing and statistical techniques. Experience in ML and DS techniques.
  • Fluent in Python/Matlab, and C++. Experience with embedded programing is a plus.


  • Background in developing algorithms for INS, GNSS, RADAR or EW systems.
  • Prior experience with navigation systems, estimation, Kalman filter, sensor fusion and GNC.
  • Prior experience in software-vulnerability research.
  • If you are an exceptional researcher and you're able to approach complex problems creatively and with an open mind, you belong with us!

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