Senior Application Developer

Company Details

LyteLoop is the future of data storage - “Storage in Motion”

Since late 2015, we have been perfecting our proprietary, patent pending photonic method of data storage which puts data in a constant state of perpetual motion. Achieved using ultra-high bandwidth lasers, data now moves in an endless circulating loop, taking up less space and using less electricity.

LyteLoop’s revolutionary “storage in motion” technique will transform how data is stored while providing a myriad of unique and customizable advantages based on the desired LyteLoop application deployed. LyteLoop now makes it possible to harness the power of data while consuming less energy. This exceptional technology not only increases data storage performance and utilization, but also reduces the total cost of ownership. Our advance offers a clear and competitive edge for those coping with the limitations of wasteful data storage systems. Using state of the art photonics technology, LyteLoop’s patented IP will enable countless applications including huge power savings for Data Centers, less heat production, cybersecurity solutions and many additional applications.

We are seeking a Senior Distributed Application Developer whose primary goal will be to architect, design, simulate and test LyteLoop’s distributed automated constellation management software – call the SSOC (Space-based Self-Organizing Constellation).

The SSOC is a distributed automated constellation management system that provides proactive and reactive autonomous – and manually initiated – management of the LyteLoop space storage in motion solution to ensure service level reliability robustness are achieved.

LyteLoop is on track to launch a new space-based Storage in Motion solution by 2025. The solution will consist of dozens, and eventually hundreds of Satellites in a constellation at low earth orbit. SSOC software will be distributed on this network of space craft and is responsible for ensuring optimum storage capacity is maintained and anomalies are detected, and corrective action taken to insure reliable operation.

The distributed SSOC software will support TWO primary functions:

One: Optical Path Management: Storage in Motion requires multiple optical connections between many elements in the satellite constellation. These optical connections are constrained by each satellites field of view and orientation. As the satellites circle the globe their physical relationships change constantly.

The SSOC using orbital trajectory information from all constellation elements activate and deactivate connections between satellites that move into and out of range so as to keep the overall storage capacity in the system relatively constant.

  • At the outset accurate simulation data for all constellation element trajectories will be provided to allow algorithm development and test.

Two: Autonomous Management: Monitor various operational and performance metrics provided by the various optical and standard satellite sub-systems to react in real-time to error conditions and when possible, take proactive actions.

We need someone who:

  • Has experience architecting and developing software that communicates between dozens of separated nodes.
  • Has experience with network path or routing management and algorithms.
  • Has experience creating and implementing algorithms that evaluate live sensor and operational data to provide automated corrective actions and predict/prevent operational anomalies in real time.
  • Is well versed in the fundamental basis, implementation, and application of rule-based automation and machine intelligence models to real world problems.

Experience with satellite operation, satellite constellations, and orbital mechanics is NOT a prerequisite – although it would be an advantage – LyteLoop has satellite/space experts on staff.


  • Bachelor’s, Masters or Doctorate degree in related area.
  • Minimum of 5 years of related work

We offer a generous remuneration package in a modern working environment on Long Island easily commutable to/from New York City.

Tagged as: routing management and algorithms

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