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Backend Engineer - Optimization

Job in Arlington, Arlington County, Virginia, 22201, USA
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
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
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 Role

As 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.
Need to have
  • 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.
Nice to have
  • 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.
Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Defense and Space Manufacturing and Data Infrastructure and Analytics

Medical insurance

401(k)

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