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Subject Matter Expert II

Job in Arlington, Arlington County, Virginia, 22230, USA
Listing for: ECS Federal
Full Time position
Listed on 2026-10-14
Job specializations:
  • Engineering
    Systems Engineer
Salary/Wage Range or Industry Benchmark: 180000 - 210000 USD Yearly USD 180000.00 210000.00 YEAR
Job Description & How to Apply Below
Job Description Everforth ECS is seeking a Subject Matter Expert II to work in our Arlington, Virginiaoffice. Salary Range: $180,000 - $210,000

Position Overview Everforth ECS is seeking a Subject Matter Expert II in AI and machine learning or radio frequency technologies to advise DARPA MXO program managers. You will apply deep technical experience to research that may combine advanced hardware, hardware-informed algorithms, unconventional computing, sensing, communications, and new approaches to mission effects.

You will join an integrated scientific, engineering, and program support team that works alongside DARPA program managers from early concept development through program execution, testing, transition, and closeout.

About DARPA MXODARPA's Multi X Office applies the physical sciences across scales and disciplines to create mission-relevant capabilities. Its work extends from materials at the atomic, molecular, and cellular scales to components, tools, processes, systems, and architectures that can reshape future military operations and strengthen the U.S. technology base.

Materials and components beyond traditional CMOS foundations, with an emphasis on resilient, secure, and attack-resistant systems

New tools, processes, manufacturing approaches, and domestic supply chains for critical technologies

New modalities for sensing, orienting, computing, communicating, and producing mission effects

Technical domains that include effects, energy, quantum science, organics and materials, new compute, robotics, and photonics

Depending on program assignment, your work may involve these areas or other emerging MXO priorities. Learn more about DARPA MXOWhat You Will Do Provide authoritative analysis of AI and ML or RF research, including technical assumptions, system architecture, performance evidence, integration risk, and mission utility.

Assess performer progress and test results, identify the most consequential uncertainties, and recommend technically sound risk-reduction paths.

Support the full R&D lifecycle from new program formulation and proposal evaluation through execution, demonstration, transition, and closeout.

Communicate complex findings to program managers, office leaders, performers, and potential transition partners.

Advise DARPA program managers on program planning, technical execution, cost, schedule, risk, and transition considerations throughout the R&D lifecycle.

Assess performer progress through technical reviews, site visits, laboratory results, tests, demonstrations, and other program events; identify concerns early and recommend practical risk-reduction actions.

Coordinate with performers, Government partners, test organizations, transition stakeholders, and other technical experts to keep complex efforts moving toward measurable program objectives.

Develop clear technical and programmatic products for DARPA leadership and external stakeholders, including review briefings, decision materials, trip reports, technical assessments, and program documentation.

Support the development of new program concepts by researching emerging science and technology, evaluating military relevance and feasibility, and contributing to trade studies, sensitivity analyses, and new-start materials.

Provide independent, objective advice while protecting sensitive information and complying with all security, organizational conflict-of-interest, and Government requirements.

Travel may include locations within and outside the continental United States and occasional international travel in support of program reviews, tests, demonstrations, or partner engagement.

Job Requirements Master's degree
15 or more years of relevant experience US. citizenship required for security-clearance eligibility

Expert credentials or recognition as an authority in AI and machine learning, radio frequency technologies, or a closely related field.

Mature judgment and the ability to advise senior Government personnel on complex scientific and engineering matters.

Ability to independently address R&D engineering problems, resolve important questions, and plan and coordinate technical work.

Advanced command of the techniques, theories, and practices required in the candidate's discipline.

Strong written and verbal communication skills.

Job Details Job Type: Full-time Category:
Engineering & Technical Disciplines (Non-IT)
Salaried:
Salaried
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