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The Arena is seeking a Backend Software Engineer to own the simulations workstream within a logistics platform, focusing on forecasting systems that model, predict, and reason about logistics outcomes in complex environments.
This role demands a strong software engineer who can work where physics and math drive software behavior, not just user-facing features. Collaboration with military stakeholders and platform teams is essential to deliver production-quality solutions.
Location: Onsite | Rosslyn, VA; New York City; Seattle, WA
Clearance: Eligible to Obtain (Secret preferred)
Employment Type: Full-time, salaried, with full benefits
Our client is revolutionizing military logistics and sustainment through the deployment of AI-enabled solutions. Combining elite Silicon Valley software expertise with deep operational experience working in and with the Department of Defense, our client builds cutting-edge software to solve the most critical logistics challenges faced by the U.S. military and its allies. Their flagship product is an advanced software platform that enhances logistics at tactical and operational echelons, providing unified, comprehensive management of inventory, personnel, equipment, and distribution. The platform integrates critical information for holistic, data-driven logistics decisions, leveraging AI for decision support, predictive analytics, and optimization at machine speed. Their mission is to support and enable the military logistics and sustainment communities with software to meet the needs of the next fight.
Our client is seeking a Backend Software Engineer to own the simulations workstream within their logistics platform, with a primary focus on the forecasting system that models, predicts, and reasons about logistics outcomes in complex operational environments.This is not a research or analysis role. They need a strong software engineer who is also mathematically and scientifically fluent — someone who can work in formulas, reason about physical systems, and build production-quality software around that reasoning. If you've spent your career at the intersection of rigorous math and real-world engineering, this is built for you.