M&S Software Developer

Logistics Management Institute

Washington (District of Columbia)

Hybrid

USD 111,000 - 193,000

Full time

12 days ago
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Job summary

Logistics Management Institute seeks a Forward Deployed M&S Engineer in the Washington, DC region to join a government-focused team. The role blends advanced analytics, modeling, and cloud deployment to deliver production-grade capabilities for customers on-site, hybrid, or remote, with potential short-term travel nationwide.

Ideal candidates hold a CS/ORSA/Data Science degree and 5+ years of data analytics experience, including AI/ML or physics-based models, and must obtain a CBP BI clearance

Qualifications

  • Degree in CS/ORSA/Data Science or related field.
  • 5+ years of complex data analytics, including AI/ML or physics-based modeling.
  • Experience with modeling and simulation tools.
  • Experience briefing DHS customers and stakeholders.

Responsibilities

  • Design, implement, and maintain RAPTR analytical models.
  • Test and validate models and code for accuracy.
  • Perform OR analyses with RAPTR to answer client questions.
  • Attend client meetings to understand requirements and present findings.
  • Collaborate with RAPTR engineers, modelers and analysts to optimize large-scale simulations.
  • Implement monitoring, logging, and alerting for reliability.
  • Troubleshoot issues across cloud, networks, and workloads.
  • Stay current with cloud tech and suggest RAPTR improvements.

Skills

AI/ML modeling
Analytical thinking
Communication
Collaborative work

Education

Bachelor's degree (CS/ORSA/Data Science)

Tools

Modeling & Simulation tools
Cloud platforms (AWS/Azure/GCP)

Job description

Overview

LMI is seeking a skilled Forward Deployed M&S Engineer in the Washington, DC region to join one of our M&S customer development teams. Successful Forward Deployed Engineers demonstrate competency in integrating advanced technologies into existing business processes, building new functionality, ensuring successful software development, analysis, or deployments, and working closely with customers. This role requires a combination of technical skills, strong communication, and the ability to quickly turn ideas into production caliber code. This role will work and engage directly with customers on-site, in a hybrid format, or remotely, as required by each customer including the potential for occasional short-term travel to customer locations across the United States.

This is a hybrid (onsite/remote) role. This position requires the ability to obtain a CBP BI clearance. You must be a U.S. citizen.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.

Why Join Us

At LMI, you will work on innovative solutions that directly impact national security, logistics, and decision-making for some of the government’s most complex challenges. You will be part of a collaborative team building a secure, cloud-native platform that redefines how modeling and simulation informs operations.

Responsibilities
  • Design, implement, and maintain analytical models within our M&S capability called RAPTR.
  • Perform testing and validation of models and code to ensure accurate outputs.
  • Perform operations research analyses with RAPTR to answer client questions and recommend efficient courses of action
  • Participate in client meetings to understand requirements and to brief your technical findings and analyses.
  • Collaborate with other RAPTR software engineers, modelers, and analysts to optimize performance for large-scale simulations.
  • Implement monitoring, logging, and alerting to ensure system reliability and availability.
  • Troubleshoot issues across cloud infrastructure, networks, and simulation workloads.
  • Stay current with advances in cloud technologies and recommend improvements to enhance RAPTR capabilities.
Qualifications
  • Bachelor’s degree in Computer Science, ORSA, Data Science, or related field (or equivalent work experience).
  • 5+ years in performing complex data analytics such as building AI/ML models, or physics-based models.
  • Previous experience with modeling and simulation (M&S) tools
  • Experience with briefing and engaging with DHS customers.
  • Strong problem-solving skills and ability to work in a collaborative, fast-paced environment.
  • Ability to obtain a CBP BI clearance. You must be a U.S. citizen.
Desired Qualifications
  • Experience supporting modeling and simulation platforms or compute-intensive applications.
  • Experience with cloud infrastructure (AWS, Azure, or GCP).
  • Current Active CBP BI clearance
  • Experience working in Agile development teams.

Target salary range is $111426.84 - $192890.16

Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

#LI-SH1

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.

Job Locations

US-DC-Washington, DC

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