Software Engineer

1 day ago

Flagstaff, Arizona, United States Katalyst Space Technologies Full time
About the Role

We are seeking a highly skilled Software Engineer to join our team at Katalyst Space Technologies. As a key member of our cross-functional team, you will be responsible for developing and expanding our Space Domain Awareness (SDA) capabilities using data analytics and Machine Learning (ML) methods.

Your primary focus will be on building and deploying machine learning models to analyze large datasets related to space objects and events. You will work closely with our team to integrate these solutions into our existing systems and drive continuous improvements.

Key Responsibilities:

  • Develop, train, and deploy machine learning models to analyze large datasets related to space objects and events.
  • Derive insights and predict behaviors to drive product improvements.
  • Build out and test modeling and simulation for SDA architectures, sensor modeling, and visualization for performance characterization and scenario/test case development.
  • Design and develop algorithms for orbit determination and state and uncertainty propagation.
  • Collaborate with the product lead to align technical solutions with user needs and product vision while evaluating technical feasibility.
  • Establish and monitor key performance parameters and measures of effectiveness.
  • Develop and maintain automated pipelines for data processing, model training, and deployment.
  • Integrate machine learning models and data analytics tools into our existing software infrastructure.
  • Ensure seamless communication and data flow between various systems and components within our SDA platform.
  • Automate and integrate data processing and machine learning solutions for system efficiency.

Qualifications:

  • Bachelor's degree in Computer Science, Engineering, Aerospace, or a related field.
  • Experience with deep learning/neural network architectures, classical ML models for object classification, and event forecasting models.
  • Proficiency in ML Python libraries such as Scikit-Learn, Keras, PyTorch, SciPy, and TensorFlow.
  • Experience in applying data science and ML to space data, particularly in SDA or orbital mechanics.
  • Excellent problem-solving skills and understanding of complex astrodynamics challenges.
  • Experience with developing modeling and simulation tools to quantify preliminary model performance.
  • Experience with software development in a team environment, including version control using Git.
  • Ability to define and solve ambiguous problems.
  • Strong written and verbal communication skills.
  • Experience in navigation filtering, sensor modeling, and Kalman filtering.
  • Experience with orbit analysis tools (e.g., GMAT, STK, Monte, Copernicus).
  • Familiarity with the current SDA, space object tracking, and space situational awareness data is a plus.
  • Familiarity with AWS ECR and Terraform is desired.
  • Experience building FAST APIs with FastAPI and Pydantic is a plus.

What We Offer:

  • Direct Ownership: Equity package (stock-based compensation)
  • Full Coverage: Great healthcare plan including dental & vision
  • Relocation Assistance: Reimbursement for moving expenses and direct support navigating the housing market in Flagstaff
  • Flexibility: In-person/remote work + robust Paid-Time-Off

Location: Located in the heart of downtown Flagstaff, our office blends beautiful mountain vistas and immediate access to hiking trails with the urban advantage of diverse dining options right at our doorstep.

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