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

We are looking for a talented geospatial SWE to join the Forest Ecosystems engineering team. We are on a mission to map, measure, and monitor the world’s forests using high resolution satellite imagery. Our team works with multi-sensor earth observations data, developing workflows that integrate measurements from Planet’s unique constellation with public data sources, including multispectral, LiDAR, and SAR data. We are building a data pipeline that transforms this firehose of imagery into high-quality maps of forest variables, like aboveground carbon density. This includes image calibration and normalization, coregistration, composition into higher level imagery assets (like mosaics), and running machine learning model inference at scale. As one of the first dedicated geospatial engineers on the team, you will take a leading role in pipeline and infrastructure design. We are a small and growing team, with a highly collaborative culture, distributed remotely across USA and Canada.

Impact You’ll Own

Design and develop scalable data pipelines to perform numerical transformations of satellite scenes, including the deployment of ML models
Implement new image processing algorithms as scalable production code in Python
Develop monitoring methods to ensure pipeline observability and reliability
Collaborate with other engineers, scientists and product managers to build systems according to our roadmap, with a product-focused mindset

What You Bring

Solid understanding of fundamentals in remote sensing and statistics
3+ years of professional experience writing software to manipulate geospatial data
Extensive knowledge of open-source GIS tools
Experience writing production code in Python
Knowledge of how to scale code with cloud computing resources (e.g. AWS or GCP)
Experience leveraging scientific computing using Python in a Unix/Linux environment
Excellent technical communication and documentation skills

What Makes You Stand Out

Experience maintaining ML models in production
Experience working with satellite or airborne earth observations data
Experience or education in forest ecology, environmental science or forestry

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 $124,000 – $203,000. 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.

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 we approach our ongoing work with diversity, equity and inclusion. If this job intrigues you, but you’re thinking you might not have all the qualifications, please… do apply! At Planet, we are looking for well-rounded people from around the world who can contribute to more ways than just what is listed in this job description. We don’t just fill positions, we aspire to fulfill people’s careers, most excited about folks who are motivated by our underlying humanitarian efforts. We are a few orbits around the sun before we get to where we want to be, so we hope you’re excited to come along for the ride.

EEO Statement

Planet is committed to building a community where everyone belongs and we invite people from all backgrounds to apply. Planet is an equal opportunity employer, and committed to providing employment opportunities regardless of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, pregnancy, childbirth and breastfeeding, age, sexual orientation, military or veteran status, or any other protected classification, in accordance with applicable federal, state, and local laws.

Accommodations

Planet is an inclusive community and we know that everyone has their own needs. If you have a disability or special need that requires accommodation during the interview process, please call Planet’s front office at 669-214-9404 or contact your recruiter with your request. Your message will be confidential and we will be happy to assist you.

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Privacy Policy (European Applicants): By clicking “Apply Now” at the top of this job posting, I acknowledge that I have read the Candidate Privacy Notice GDPR Planet Labs Europe, and hereby consent to the collection, processing, use, and storage of my personal information as described therein.