Backend Engineer - Optimization
Job in
Arlington, Arlington County, Virginia, 22201, USA
Listed on 2025-12-23
Listing for:
recruyt
Full Time
position Listed on 2025-12-23
Job specializations:
-
IT/Tech
Data Analyst, Data Scientist, AI Engineer, Machine Learning/ ML Engineer
Job Description & How to Apply Below
Our client is here to revolutionize the status quo of 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.
About the RoleAs a Backend Engineer focused on optimization, you’ll bridge the gap between algorithm design and high-performance software implementation.
What You’ll Do- Analyze real-world logistics problems from first principles, working with military users and domain experts to define constraints, objectives, and solution criteria.
- Research, prototype, and evaluate algorithmic approaches for problems.
- Implement performant, production-grade solutions in Go.
- Evaluate algorithm performance using both synthetic and operational data.
- Build infrastructure to simulate, test, and iterate on solution methods at scale.
- 5+ years of backend or systems engineering experience.
- Strong programming skills in Go or C++ or Java
, or Rust
. - Experience developing high-performance systems for simulation, scientific computing, machine learning or complex algorithmic domains.
- Ability to design and implement well-structured systems under evolving requirements and operational constraints.
- Experience working with structured data and building systems that integrate with APIs, messaging layers, and cloud infrastructure.
- Experience with optimization, scheduling
, or constraint-solving algorithms. - Familiarity with optimization libraries or tools such as OR-Tools
, Gurobi etc. - Background in operations research, applied mathematics, or scientific computing domains.
- Experience with geospatial, temporal, or logistics datasets.
- Comfort working on systems deployed in constrained environments.
- Familiarity with simulation environments or agent-based models used for planning or decision-making.
Mid-Senior level
Employment typeFull-time
Job functionDefense and Space Manufacturing and Data Infrastructure and Analytics
Medical insurance
401(k)
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