Mission Planning Systems Engineer – TS/SCI Clearance

Leidos; Alexandria (VA); On-site; USD 108,000 - 195,000; Full time

Benefits offered by this job

Health and Wellness programs

Retirement plan

Paid Leave

Job summary

Leidos is seeking a Systems Engineer to support the NAVAIR customer in Alexandria, VA, as well as additional locations in California, MD, and Virginia Beach, VA. The role focuses on systems engineering, analysis, and supporting software development for acquisition, design, test, and operations. Up to 25% travel is required.

The ideal candidate will transition requirements, define algorithms, and lead testing and milestones while communicating complex analyses to stakeholders.

Qualifications

• B.S. in Engineering, Computer Science, or other related fields.
• Active Top Secret clearance with ability to obtain TS/SCI.
• Willingness to travel 25%.
• Demonstrated initiative and ownership of deliverables.
• Experience leading working groups.
• Strong written and verbal communication skills.

Responsibilities

• Transition requirements to support prototype mission planning.
• Collaborate to define algorithms and architecture for mission planning and strike planning.
• Explain and integrate algorithm design, software implementation and testing into tools.
• Provide engineering design and analysis assessments.
• Draft system specifications and develop roadmaps.
• Coordinate and lead technical exchange meetings with vendors and customers.
• Lead system test events and evaluate proposals.

Skills

Initiative and ownership

Public speaking

Written communication

System engineering analysis

SAFe agile

Ambiguity tolerance

Education

B.S. in Engineering or Computer Science

Tools

DOORS

JAMA

Jira

MagicDraw

Job description

Leidos is seeking a Systems Engineer to support the NAVAIR customer in Alexandria, VA, as well as additional locations in California, MD, and Virginia Beach, VA. The role focuses on systems engineering, analysis, and supporting software development for acquisition, design, test, and operations. Up to 25% travel is required.

The ideal candidate will transition requirements, define algorithms, and lead testing and milestones while communicating complex analyses to stakeholders.