Software Engineer (Tactical Decision Aids - Mid-Level)

Description

Leidos' High Fidelity Simulation Business Area designs and delivers cutting-edge system-of-systems solutions that power world-class simulation, training, and analysis products for the U.S. Navy.

In this role, based at a U.S. Government facility in Bethesda, MD, you will work with state-of-the-art technologies to develop advanced sonar tactical decision aids (TDAs) that directly support the Fleet. You'll be part of a high-performing team whose mission-critical work shapes the Navy's tactical edge-making a tangible impact on national security.

At Leidos, we empower our engineers to do meaningful work while continually building new skills to grow the career they want to achieve.

What You'll Work On

• Develop and enhance Tactical Signature Guidance (TSG) systems, including sonar TDAs across multiple code baselines.
• Troubleshoot and resolve complex software challenges while contributing innovative solutions.
• Learn and apply new programming languages and technologies, with mentorship and support from experienced teammates.
• Occasionally support hardware system configuration and build-out, gaining exposure to full system integration.

This opportunity is ideal for developers who thrive on solving complex problems, want to expand their technical expertise, and are motivated by work that directly supports the U.S. Navy's operational readiness.

Primary Responsibilities

• Work collaboratively in an agile team environment supporting a large-scale program.
• Own and deliver software solutions in Java, C++, and other modern languages.
• Learn and apply new technologies (e.g., Angular, Rust, Scala) to meet evolving needs.
• Troubleshoot and resolve complex technical issues with efficient solutions.
• Adapt quickly to shifting priorities and support urgent requests when needed.
• Communicate clearly with teammates, stakeholders, and leadership.
• Travel occasionally to Manassas, VA for integration and team collaboration.

Basic Qualifications

• Education: Bachelor's degree in Computer Science, Engineering, Math, Physical Sciences, or a related field that provides strong software development skills.
• Experience: Around 5 years of hands-on experience in one or more of the following:
  • Designing and developing real-time acoustic signal processing algorithms
  • Building parallel processing solutions
  • Working with microservices
  • Developing software for signal processing, real-time data analysis, or visualization/simulation systems
  • Experience with Java and C++ are a must
• Clearance: Must be able to obtain a U.S. security clearance.
• Certification: Must be willing to earn an IAT Level I (or higher) certification after hire (company-supported).

Preferred Qualifications

• Active Secret level security clearance.
• Experience with Angular, Rust and/or Scala

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo - because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 - and moving faster than anyone else dares.

Original Posting:

September 23, 2025

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:

Pay Range $85,150.00 - $153,925.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

Client-provided location(s): Chevy Chase, MD

Job ID: Leidos-R-00167236

Employment Type: FULL_TIME

Posted: 2025-09-24T18:46:01