Backend Software Engineer

About the Role

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.

Responsibilities

• Build and own production-grade simulation and forecasting software, with a primary focus on the logistics forecaster
• Work with mathematical models, numerical methods, and scientific formulas to implement software where correctness is defined by the underlying physics or math, not just user acceptance
• Collaborate closely with the forecaster lead and platform team to integrate simulation capabilities into core product workflows
• Participate in technical design discussions and code reviews, contributing to a culture of engineering rigor and mission focus
• Triage and debug issues in production, ensuring reliability and rapid iteration in support of operational needs
• Work closely with engineers, product managers, and military stakeholders to ensure simulation and forecasting systems meet real-world sustainment requirements at the tactical edge

Requirements

• 4+ years of experience in software engineering with demonstrated experience building software in a scientific or mathematically complex domain: sensor algorithms, motion planning, simulation, forecasting, or similar
• Ability to work with mathematical models and numerical methods in code; comfort reasoning about correctness in terms of physics or math, not just software behavior
• Proficiency in Python, C++, or Go
• Strong software engineering foundation — this role requires production-quality engineering, not analysis or research
• Math or science background through degree, graduate work, or professional domain experience
• Strong sense of ownership and a bias for action

Preferred Qualifications

• Experience at a defense-adjacent autonomous systems company in a hands-on engineering capacity
• Degree or graduate degree in a scientific field such as physics, applied mathematics, aerospace, or mechanical engineering
• Familiarity with numerical simulation frameworks or scientific computing libraries
• Experience deploying software to production environments, including cloud (AWS, Kubernetes) and edge infrastructure

Benefits

• Comprehensive medical, dental, and vision plans; premiums 100% covered for all employees; exceptionally low premiums for spouses and dependents
• Basic life insurance and disability 100% covered for all employees; option to purchase additional life insurance
• "Take the time off that you need, when you need it" paid time off policy — not accrual based
• Generous company holiday calendar including a December shutdown
• Supportive leave of absence program including military service, medical events, and parental leave
• Full 401(k) retirement plan for all full-time eligible employees
• Company-funded commuter benefits
• Highly competitive equity grants included in the majority of full-time offers as part of total compensation