Analyzes aerial imagery to find actionable information.
In order to take our government business to the next level we are looking to hire a Software Engineer to join our Public Sector team. This Software Engineer will work on developing, adapting, and extending our commercial software products to fit the needs of our government customers.
At Orbital Insight, we work in cross-functional Agile teams, exploring how geospatial data, data science, AI/deep learning, computer vision, and intimacy with user needs can create entirely new products that give novel insights about what we are doing on and to the earth. Our pioneering products help people answer questions that cannot be answered today.
As a member of our technical staff, you’ll be working on our cloud-based systems that ingest a wide variety of data, run advanced machine learning algorithms on that data, use data science techniques to discover trends and detect anomalies, and allow users to ask questions and get answers – and do it all at scale with ever-increasing amounts of data.
We value experienced engineers who already have a breadth of experience in multiple areas -- databases, devops, machine learning, API design, and more -- and are eager to learn new areas and new technologies.
If all this sounds interesting to you, we’d love to meet you.
This position will be based in our Arlington, Virginia office but may require some work at customer sites in the DC area. Occasional travel to corporate headquarters in Palo Alto, California may be required.
This position requires an active TS/SCI clearance.
Participate in, and possibly lead, all technical aspects of a project, from customer needs assessments and technical requirements to software architecture and implementation to deployment and maintenance
Participate in customer meetings to present and discuss technical plans and milestones
Collaborate with others across the company, such as our machine learning or devops teams, and with other partner organizations
Provide software design and perform software implementation for enterprise-scale, mission-critical, production software in areas such as web services, databases, user interfaces, user management, API design, and more
Participate in, and possibly lead, small and tactical development teams using agile development principles, including release planning, sprint planning, product and sprint backlog grooming, and standups
BS or MS degree, or equivalent experience in a quantitative field (physics, mathematics, bioinformatics, computer science, operations research, etc.)
5+ years of experience as a software developer on enterprise-scale software projects
3+ years of experience of commercial or other production-level software projects
Some experience with one or more of the following: data science, machine learning, computer vision, geospatial workflows, image processing, security/IA assessment
Dedication to continuous integration and automated testing
Hands-on, production experience with cloud-based systems using AWS or Azure
Experience with Docker and Kubernetes strongly preferred
Experience working within C2S or similar classified networks
Excellent communication and mentoring skills
Strong background in agile, and ability to mentor others in its use a major plus
Security Clearance: TS/SCI required
Orbital Insight is a fast growing provider of geospatial data and geo-analytic services to commercial, nonprofit and public sector clients across the globe. Leveraging advancements in computer vision and cloud computing, Orbital Insight is turning millions of images into a big picture understanding of the world that is quantitatively grounded in observation, creating unprecedented transparency, and empowering global decision makers with new sources of objective, quantified socio-economic insights.
We are backed by marquee investors such as Google Ventures, Sequoia Capital, In-Q- Tel and Bloomberg Beta, Orbital Insight is rapidly expanding its commercial and public sector capabilities. Come join us if you are unafraid to try new approaches and relentlessly seek to push the state of the art, taking projects all the way from prototype to production-ready.