Job Description
The internship involves supporting Planet's satellite calibration and validation processes by developing and evaluating sensor camera models and transformation algorithms to ensure the geometric and radiometric accuracy of satellite imagery.
Key Responsibilities
- Assess and implement sensor camera models and spatial transformers
- Develop automated scalable processes for satellite data calibration and validation
- Troubleshoot geometric image quality issues and develop long-term solutions
- Collaborate with cross-functional teams to develop performance models and calibration concepts
Requirements
- Pursuing a degree in photogrammetry, engineering, physics, mathematics, or a related field relevant to the geometric characterization of space imaging platforms
- Hands-on, collaborative mindset with effective interpersonal skills
- Passion for programming, photography, remote sensing, Earth science, and geography
- Experience with scientific computing in Python in a Unix/Linux environment
- Experience with version control and CI/CD workflows
- Strong foundation in linear algebra, coordinate transformations, and nonlinear optimization
- Practical experience solving problems using large cloud-based datasets
- Knowledge of scaling code with cloud computing resources such as AWS or GCP
- Application for this position requires access to export-controlled information, and the candidate must be able to access all applicable export-controlled information without additional export licensing being required by the Bureau of Industry and Security and/or the Directorate of Defense Trade Controls
Benefits & Perks
Commuter Benefits
Paid time off for holidays and company-wide days off
Internet reimbursement
Access to LinkedIn Learning
Compensation range of $35 - $60 per hour (US), final salary determined by experience, skills, and location
San Francisco salary range of $37 - $60 USD
Ready to Apply?
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