Founded in 2020 and headquartered in Washington, D.C., Impact Observatory is a mission-driven company that brings AI-powered algorithms and on-demand data to sustainability and environmental risk analysis for governments, industries, and markets. Impact Observatory empowers decision-makers with the timely, actionable, science-based geospatial insights they need to succeed.

What we're looking for...

Impact Observatory’s products quantify climate risk, global carbon, and species biodiversity, and we’ve developed best-in-class, global Land Use Land Cover (LULC) mapping and change monitoring. Our engineers work in a variety of settings to build systems that collect, manage, and convert raw geospatial data and satellite imagery into usable information for machine learning scientists and data scientists to use and interpret. They develop and maintain cloud infrastructure and automated data processing pipelines that deploy machine learning and remote sensing science models to satellite imagery time series from local to global scale, and develop geospatial data systems for automated monitoring and reporting used by decision makers in businesses, markets, and governments.

We are seeking a smart, energetic, and results-oriented Software Engineer, who will be a key player on our Engineering team. You’ll have the flexibility to identify and scope projects on our roadmap that fit your interests and skill set. Our engineering team is highly collaborative when it comes to sharing ideas, solving challenges, and building automated workflows and tools. Ideal candidates will be comfortable working in a dynamic startup environment.

Duties and Responsibilities

  • Develop and maintain software components and pipelines in commercial cloud
  • Collaborate with IO’s machine learning and remote sensing data scientists to prepare and organize raw data for use in data pipelines, and to scale and deploy models
  • Collaborate with IO’s product team to support systems delivering data and insights to decision makers in businesses, markets, and governments
  • Develop and maintain infrastructure for core systems
  • Provide clear documentation of all workflows and findings for internal reproducibility

Required Qualifications

  • Bachelor’s degree in relevant field
  • Expertise in Python
  • Experience with GitHub, GitLab, or another version control system
  • Ability to provide clear documentation of all workflows and software
  • Strong written and verbal communication skills
  • Excitement to work collaboratively in a startup, remote team environment

Optional (Bonus) Qualifications

  • Experience working in commercial cloud (Azure & AWS environments preferred)
  • Experience deploying AI and deep learning models
  • Experience with geospatial data, satellite imagery, and/or other remote sensing data & techniques (extra points for SAR experience)
  • Experience with geospatial libraries including GDAL/OGR, rasterio, PyProj, geopandas, and shapely
  • Experience with conservation, environment, or climate change related applications

We are an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity or expression, pregnancy, age, national origin, disability status, genetic information, protected veteran status, or any other characteristic protected by law.