Perceptive Space Systems

Perceptive Space is on a mission to make humanity resilient to space weather. Space weather refers to changing radiation levels, magnetic fields, and other conditions of the space environment. This impacts the performance and reliability of all space-borne technological systems and can endanger human health. Today, we rely solely on government agencies' forecasts to safeguard operations against space weather impact. These forecasts are limited in accuracy and do not provide the decision intelligence required to support the scale of the modern aerospace industry, resulting in operational losses in the form of premature deorbit of satellites, failed launches, GPS outages, etc. Perceptive Space is addressing this problem through its AI-powered space weather prediction system, which provides the accuracy and timely actionable insights required to support today's scale, automation, and space-based operations' autonomous future. Backed by world-class investors and a team of scientists and engineers whose collective background includes NASA, Los Alamos National Lab, MIT, and Silicon Valley, Perceptive Space is transforming how aerospace and defense industries respond to the threat of space weather.

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πŸ“ Canada

πŸ” Space weather and aerospace technology

  • MS or PhD in a quantitative field (e.g., Physics, Electrical Engineering, Mathematics, Atmospheric Science).
  • 3+ years of industry experience building, optimizing and deploying large-scale deep learning models.
  • Demonstrate a high level of autonomy and critical thinking to take full ownership of your work.
  • Strong general foundations in software engineering - including coding standards, code reviews, source control management, build processes, and testing.
  • Experience working with time-series data and scientific data.
  • Strong proficiency in Python and ML frameworks such as Keras, TensorFlow, and PyTorch.
  • Experience with tools and frameworks like ML Flow, Ray, Dask, and Numba.
  • Experience deploying ML solutions onto cloud platforms (e.g., AWS, GCP, Azure).
  • Outstanding verbal and written communication skills can explain complex technical concepts to engineering peers and non-engineering stakeholders.

  • Architect, build, scale, and improve ML algorithms that support our products.
  • Take charge of your project end-to-end involving high ambiguity, scale, and complexity.
  • Explore and research innovative machine-learning approaches to push the boundaries of what’s possible.

AWSLeadershipPythonGCPKerasMachine LearningPyTorchAlgorithmsAzureTensorflowCommunication SkillsWritten communicationCompliance

Posted 2024-11-13
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πŸ“ Canada, United States

πŸ” Space industry

  • Advanced degree in aerospace engineering or a related STEM field.
  • Strong understanding of orbital mechanics, state estimation, statistical orbit determination, and optimization.
  • 2+ years of experience in flight dynamics or astrodynamics roles.
  • Proficiency in Python and object-oriented programming.
  • Experience with astrodynamics tool development (custom and off-the-shelf systems like STK, GMAT, OreKit).
  • Experience with satellite state estimation and filtering techniques.
  • Experience with software development life cycle, GIT, and agile methodologies.
  • Strong analytical and problem-solving skills.
  • Ability to work in a multidisciplinary and fast-paced startup environment.

  • Develop and refine modeling techniques for analyzing and simulating satellite dynamics.
  • Work on applied research and develop algorithms for state estimation, orbit analysis, maneuver detection, and collision probability analysis.
  • Conduct data analysis from complex space and ground systems, apply statistics, scripting, modeling, and advanced mathematics.
  • Demonstrate autonomy and critical thinking in taking full ownership of your work.

PythonSoftware DevelopmentAgileCloud ComputingData AnalysisGitMachine LearningAlgorithmsData analysis

Posted 2024-10-13
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