Whitespace is an AI company that develops secure and scalable AI through Collective OS for defence, government, and regulated industries.
This company operates with a remote-first culture, allowing team members to work from anywhere. Team members are distributed across the U.S. and Canada.
Whitespace pioneers Agentic AI solutions for global leaders, transforming commercial data into actionable intelligence. You will join a company recognized as the most innovative in the Geospatial Industry. Whitespace develops Iris, an Agentic AI platform delivering answers on critical mission timelines, trusted across seven combatant commands. They also craft Worldline, a digital twin platform simulating human activity for training and mission planning. Their solutions empower public health, risk intelligence, national defense, and regulatory organizations to make faster, more informed decisions.
Whitespace embraces a remote-first philosophy, allowing you to work from anywhere in the contiguous United States. Your contributions are valued through autonomy and ownership, focusing on delivering meaningful results. You will thrive in an environment where work-life balance is prioritized and good ideas emerge from every team member. Collaboration is key, with engineers, designers, researchers, and product teams working together seamlessly. Whitespace seeks individuals with mission fit, not just specific credentials.
You will tackle complex challenges building scalable software systems and advanced AI solutions. Their core platforms, Iris and Worldline, demand robust backend services, data pipelines, and analytic applications. Whitespace heavily utilizes Python and Java, emphasizing clean, efficient, and testable code. Engineers pair with data scientists and analysts to develop innovative capabilities that transform large volumes of commercial and geospatial data into actionable intelligence. You will also contribute to secure CI/CD pipelines, integrating security practices into every stage of development for high-stakes environments.