{bc}
indeed

2027 Graduate - Systems & Software Engineer - Multi-Domain Mission Planning Development

Johns Hopkins University Applied Physics Laboratory
Laurel, USA
Full-time
Onsite
USD 85000-165000 yearly
Discovered 1 months ago
Systems engineeringSoftware engineeringMission planningModeling and simulationSystems analysisAlgorithm development

Full Job Posting

Graduate Engineering Opportunity

This 2027 graduate opportunity is for entry-level engineers solving complex technical challenges that support national defense and the U.S. Armed Forces.

The work combines software engineering, systems engineering, modeling and simulation, artificial intelligence, and operational analysis.

About the Team

The team develops mission planning capabilities that help military planners evaluate options, optimize system performance, and make decisions in complex operational environments.

Mission areas include Ballistic Missile Defense, Air Warfare, Hypersonic Defense, multi-domain operations, and space operations.

The work supports national security and operational capabilities used by the U.S. military.

What You Will Do

  • Design, develop, test, deploy, and maintain software for advanced mission planning and decision-support applications.
  • Apply software engineering, systems engineering, modeling and simulation, data analysis, or artificial intelligence techniques to operational challenges.
  • Develop and evaluate algorithms for mission planning, resource allocation, and operational effectiveness.
  • Build secure software using DevSecOps, automated testing, and containerized development environments.
  • Conduct engineering studies evaluating current and future defense systems.
  • Collaborate with multidisciplinary teams to transition research into operational capabilities.
  • Engage with military operators and mission experts to translate user needs into technical solutions.

Minimum Qualifications

  • A bachelor's degree in a relevant engineering, computer science, mathematics, physics, or related technical discipline is required.
  • Relevant experience may come from coursework, research, internships, personal projects, or extracurricular activities.
  • Experience in at least one of C++, Python, Java, JavaScript, TypeScript, MATLAB, or a similar technical language is required.
  • Candidates must communicate technical ideas clearly and work independently and collaboratively.
  • Candidates must obtain an Interim Secret clearance by the start date and ultimately obtain a Secret clearance.
  • U.S. citizenship is required.

Preferred Qualifications

  • A master's degree in a relevant engineering, computer science, mathematics, or physics discipline is preferred.
  • Experience with modeling and simulation, optimization, operations research, systems analysis, artificial intelligence, or machine learning is preferred.
  • Familiarity with Linux, Git, Docker, Kubernetes, CI/CD, cloud technologies, or DevSecOps is preferred.
  • Research, capstone, open-source, internship, co-op, or technical team leadership experience is advantageous.
  • An active Final Secret or Top Secret clearance is advantageous.

Work Environment and Benefits

  • Employees work with experienced engineers, scientists, mathematicians, military subject matter experts, and technical leaders.
  • APL offers education assistance, retirement contributions, paid time off, insurance benefits, and training and development opportunities.

Compensation

  • The referenced annual pay range is $85,000 to $165,000.
  • Actual compensation may vary based on location, experience, market conditions, education, skills, and internal parity.
  • Additional compensation may include bonuses, relocation benefits, locality allowances, or discretionary payments.

Apply for this job in 1 click

Skip the repetitive application forms

Install the Base Career Chrome Extension and autofill job applications across major job boards with your profile.

Sarah M.James T.Maya R.

Trusted by over 500,000 job seekers on Base Career

Start Free Today

More from this employer

More jobs at Johns Hopkins University Applied Physics Laboratory