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Senior Physical Scientist

1 hour, 48 minutes ago
United States
Full-time
Senior
Data Scientist
Software Development
AWS CI/CD Docker Git Machine Learning Python Statistics
Apply Now
LeoLabs

LeoLabs

LeoLabs is transforming low Earth orbit with LeoLabs Vertex™, offering unmatched coverage and real-time tracking for safe and efficient space operations worldwide.

Aerospace & Defense
51-250
Founded 2016
$82M raised
View All Jobs 12

Description

  • Analyze and refine physical models to improve orbit determination accuracy and precision.
  • Maintain and improve radar scheduling and measurement association systems while balancing fidelity, robustness, and operational constraints.
  • Support launch and early operations (LEOP), including time-critical troubleshooting and object cataloging.
  • Interface with satellite operators and internal stakeholders to tune system performance and resolve operational issues.
  • Design automation for object observation, association, cataloging, and data quality monitoring to reduce manual work.
  • Develop and maintain production scientific software in Python, translating physical and statistical models into reliable, testable code.
  • Contribute to real-time system scaling for large data sets and evolving algorithmic complexity.
  • Participate in CI/CD pipelines, containerized deployments, and automated testing.
  • Lead or support incident response, debugging, and operational troubleshooting in production.
  • Collaborate with cross-functional teams and provide technical input through code reviews, design discussions, and mentorship.

Requirements

  • M.S. or Ph.D. in Astrodynamics, Aerospace Engineering, Physics, or a related technical field preferred; B.S. required.
  • 3–6+ years of experience in orbit determination, numerical modeling, data analysis, or machine learning.
  • Strong foundation in linear algebra, probability, statistics, optimal estimation, and statistical OD.
  • Significant experience with Python in production environments.
  • Demonstrated ability to develop high-reliability nonlinear algorithms.
  • Experience with Kalman filters and nonlinear estimation techniques preferred.
  • Experience with radar-based tracking, sensor fusion, or probabilistic data association preferred.
  • Familiarity with AWS, Docker, and CI/CD pipelines preferred.
  • Experience supporting or operating complex, real-time scientific data pipelines preferred.
  • Experience optimizing algorithms for high-performance computing environments, including parallelization and performance tuning, preferred.
  • Experience incorporating machine learning or AI techniques into scientific or operational software systems preferred.
  • Experience using AI-assisted development tools for code generation, testing, debugging, or performance optimization preferred.
  • Experience with orbit determination tools, especially AGI ODTK, preferred.
  • Prior experience in on-call rotations or operational support roles preferred.

Benefits

  • Flexible remote/hybrid work opportunities.
  • Unlimited paid time off for most roles.
  • Competitive salary and equity packages.
  • Comprehensive health, dental, and vision coverage.
  • Work on complex, meaningful missions with real-world impact.
  • Exposure to commercial space operations and defense innovation.

Interested in this position?

Apply directly on the company website

Apply Now

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