Hyperspectral Calibration Software Engineer

Welcome to Planet. We believe in using space to help life on Earth.

Planet designs, builds, and operates the largest constellation of imaging satellites in history. This constellation delivers an unprecedented dataset of empirical information via a revolutionary cloud-based platform to authoritative figures in commercial, environmental, and humanitarian sectors. We are both a space company and data company all rolled into one.

Customers and users across the globe use Planet's data to develop new technologies, drive revenue, power research, and solve our world’s toughest obstacles.

As we control every component of hardware design, manufacturing, data processing, and software engineering, our office is a truly inspiring mix of experts from a variety of domains.

We have a people-centric approach toward culture and community and we strive to iterate in a way that puts our team members first and prepares our company for growth. Join Planet and be a part of our mission to change the way people see the world.

Planet is a global company with employees working remotely world wide and joining us from offices in San Francisco, Washington DC, Germany, and The Netherlands.

About the Role:  

The Calibration and Validation (CalVal) team enables the generation of accurate and interoperable products from Planet’s satellites. There are multiple methods used to characterize image quality and ensure accuracy; from celestial maneuvers to harmonization of earth-facing on-orbit imagery. The work of the CalVal team is performed at scale and affects millions of images and terabytes of data. 

There is much work to be done and would be a great experience for an up-and-coming engineer who has experience with image processing code at scale and knowledge of image quality issues. This position will focus on development of the infrastructure and code to integrate hyperspectral data into the Planet data processing systems.

Impact You’ll Own:

• Driving and implementing continuous improvements in the hyperspectral data product and supporting the release of this product to the public
• Optimization of hyperspectral data processing pipeline algorithms within Planet production environment
• Ensure calibration of hyperspectral products
• Develop image quality metrics and tests to monitor the performance of the code
• Help create documentation and release material
• Troubleshooting image quality issues and deploy software fixes

What You Bring:

• A passion for Programming, Remote Sensing, Earth Sciences, and Geography
• Knowledge of radiometry, calibration, imaging sensors and hyperspectral imaging
• Extensive experience leveraging scientific computing using Python in a Unix/Linux environment
• Knowledge of how to scale code with cloud computing resources, e.g. AWS or GCP
• Experience with successfully building, releasing, and supporting highly available, consistently performant services
• Hands-on, can-do attitude, great interpersonal skills, and ability to collaborate effectively

What Makes You Stand Out:

• A proven track record of software automation of analysis of imagery/maps
• Demonstrated experience with hyperspectral data sets
• Experience working with open source geospatial software
• Experience with existing and evolving standards for representing geospatial data on the web
• Active contribution to open source projects
• Solid background in machine learning and statistics

Benefits While Working at Planet:

• Comprehensive Health Plan
• Wellness program and onsite massages in specific offices
• Flexible Time Off
• Recognition Programs
• Commuter Benefits
• Learning and Tuition Reimbursement
• Parental Leave
• Offsites and Happy Hours
• Volunteering Benefits

Compensation:

The US base salary range for this full-time position at the commencement of employment is $136,000 - $223,600.  Additionally, this role might be eligible for discretionary short-term and long-term incentives (bonus and equity). The final salary range is determined by job related experience, skills and location.  The range displays our typical hiring range for new hire salaries in US locations only.  Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

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Why we care so much about Belonging. 

We’re dedicated to helping the whole Planet, and to do that we must strive to represent all of it within each of our offices and on all of our teams. That’s why Planet is guided by an ultimate  north star of Belonging, dreaming big as