About the role
About Our Company Built on over four decades of pioneering research at Princeton University, our platform represents the leading edge of innovation in freight and transportation planning. We help customers unlock double-digit revenue gains and drive smarter, data-driven operations at scale. With the recent close of our Series C funding round led by Koch Disruptive Technologies, we’re entering an exciting new phase of growth. Today, Optimal Dynamics is a high-growth company of ~70 employees, backed by top-tier investors including Bessemer Venture Partners, The Westly Group, Activate Capital, and Koch. We're on a mission to redefine the way logistics decisions are made—and we’re just getting started. About Our Team We are a team of bright, kind, and solution-oriented people focused on creating value for our customers. We can solve problems individually, but understand that the best solutions are found when
the team brainstorms ideas together. We are excited about balancing the need to deploy new solutions quickly and designing solutions that are secured, reliable, maintainable, and scalable for the long run.
About
the Role Optimal Dynamics is seeking an OR Software Engineer to join our OR/AI team. This position requires experience in both object-oriented programming and optimization/operations research. If you have these
qualifications and are interested in developing them further at an exciting start-up, this position is perfect for you.
Who You Are Passionate about building large-scale optimization software with automated testing, the highest levels of code/data quality, and engineering best practices You enjoy collaborating with colleagues across teams (i.e Product Managers, Designers, & Data Scientists) to ship impactful products You learn quickly and get excited by learning new technologies You thrive in an environment with lots of context and minimal guidance You're an adept teammate who collaborates effectively with others You're a skilled communicator and contributor who promotes your ideas while remaining humble when you may be wrong