Computer Vision Engineer

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

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 headquartered in San Francisco, California, Earth.

About the Role

Our Payload Group is looking for a Computer Vision Software Engineer to help us operate, optimize, and further develop the largest camera constellation ever deployed in space! We are responsible for system-level analysis, operations, simulations and development for our earth observation payload. Our team works at the intersection of hardware, software, and product engineering teams within the Space Systems Division. The role will appeal to candidates that enjoy the interchange between photography, science, systems engineering, and operations.

Impact You’ll Own:

• Developing, validating and automating image quality and payload performance metrics
• Troubleshooting image quality issues and developing long-term mitigations and improvements
• Developing and deploying new imaging pipelines and architectures
• Contributing to the design and modelling of new imaging systems and operating modes
• Collaborating with satellite operations, imaging pipeline, hardware (optics/EE), and embedded software teams

What You Bring:

• A passion for photography, Earth sciences, and geography
• Relevant experience in computational photography and scientific imaging
• Relevant experience with image processing methods and quality assessment of image data
• Experience leveraging scientific Python in a Unix/Linux/AWS environment to develop and automate novel imaging algorithms
• Familiarity with source code management tools
• Hands-on, can-do attitude, great interpersonal skills, and ability to collaborate effectively
• Practical experience in solving problems by exploiting large cloud-based datasets
• Solid graduate-level Statistics, Linear Algebra and Physics foundation
• BS/MS in an EE, CS, AA or relevant scientific/engineering field

What Makes You Stand Out:

• 3+ years GIS, remote sensing, photogrammetry, or mapping work experience
• Experience with line scanner data
• Experience with multispectral or hyperspectral imaging systems and image data
• Experience with developing of imaging conops and image processing techniques for new sensors from scratch
• Knowledge of camera hardware concepts

Benefits While Working at Planet:

• Additional company winter holidays and regular global days off
• Remote friendly work environment
• Giving back to the community - one day per quarter for charitable work
• Learning and Tuition Reimbursement
• Home office budget
• Employee Resource Groups providing safe and empowering spaces for connection and mentorship
• Contribution to our growth by offering equity options for employees