SimIS

IT solutions for government and defense

Artificial Intelligence Subject Matter Expert

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeAlexandria, VA, USA$175k - $230k /yr

About the Job

Requirements

A master's degree or ten years of relevant experience is required.
A degree in Electrical Engineering, Computer Science, Computer Engineering, or a related field, with specialization in robotics/autonomy, automatic target recognition, machine learning, system architecture, AI testing, or machine vision.
Experience with Department of Defense science and technology, acquisition, or testing.
Familiarity with the Major Range and Test Facility Base.
Familiarity with the Central Test and Evaluation Investment Program.
Familiarity with the Test and Evaluation Science and Technology Program.
Demonstrated depth of knowledge in robotics/autonomy, automatic target recognition, machine learning, system architecture, AI testing, or machine vision.
Hands-on experience developing or programming machine learning algorithms.
Broad knowledge of technologies relevant to one or more Test and Evaluation Science and Technology Test Technology Areas.
Familiarity with the Systems Engineering process.

Responsibilities

Provide Systems Engineering and technical assistance support to the Test and Evaluation Science and Technology Program.
Evaluate machine learning model performance and robustness ahead of fielding decisions.
Advise on test methodologies for emerging artificial intelligence capabilities.
Support investment strategy across Department of Defense artificial intelligence standards, Department of Defense cloud, artificial intelligence-enabled technologies, autonomy and robotics, and machine learning grounded in Department of Defense warfighting missions and business functions.

Desired Qualifications

A PhD.
Department of Acquisition University Systems Engineering certification.
Experience within the National Capital Region, TRMC, a high-level Department of Defense or Service test range, a science and technology organization, or with science and technology leadership.
Publications, patents, or competition results in machine learning, autonomy, or robotics, such as DARPA challenges or peer-reviewed research.
Experience with adversarial machine learning, model robustness testing, or test and evaluation focused specifically on artificial intelligence-enabled systems.
Department of Acquisition University certification in Test and Evaluation, in addition to Systems Engineering.
Experience evaluating or fielding autonomous systems in an operational or test environment.

100% ONSITE

Who We Are: Founded in 2007, SimIS Inc. is an innovative information technology solution Veteran Owned Small Business (VOSB) that models future environments, requirements, and capabilities, and then secures the enterprise from internal and external threats compliant with Federal, State, and industry standard governance to ensure client mission success. Our performance standard is “excellence,” with an outcomes-based, quality focus in our services and products, guided by our core values of honesty (in word and deed), relationships (confidence and trust with clients and partners), teamwork (shared goals, mission, and purpose), loyalty (allegiance to our client and team), and importance of others (work and win as a team).

SimIS, Inc. is currently recruiting for the listed position which is “on site.”

Job Description:
SimIS, Inc. seeks an AI Subject Matter Expert to provide Systems Engineering and technical assistance (SETA) support to the Test and Evaluation Science and Technology (T&E/S&T) Program, the Department's only S&T program dedicated to advancing DoD Test Range capabilities in support of AI and machine learning-enabled systems. This role evaluates machine learning model performance and robustness ahead of fielding decisions, advises on test methodologies for emerging AI capabilities, and supports investment strategy across DoD AI standards, DoD cloud, AI-enabled technologies, autonomy and robotics, and machine learning grounded in DoD warfighting missions and business functions.

Required Qualifications:

Master's degree or ten (10) years of relevant experience (required); PhD desired
Degree field: Electrical Engineering, Computer Science, Computer Engineering, or related field, with specialization in robotics/autonomy, automatic target recognition, machine learning, system architecture, AI testing, or machine vision
Experience with DoD S&T, DoD Acquisition, or DoD testing
Familiarity with Major Range and Test Facility Base (MRTFB)
Familiarity with Central Test and Evaluation Investment Program (CTEIP)
Familiarity with the T&E Science and Technology (S&T) Program
Demonstrated depth of knowledge in robotics/autonomy, automatic target recognition, machine learning, system architecture, AI testing, or machine vision
Hands-on experience developing or programming machine learning algorithms
Broad knowledge of technologies relevant to one or more T&E/S&T Test Technology Areas
Familiarity with the Systems Engineering process; DAU Systems Engineering certification desired

Desired Qualifications:

Experience within the NCR region, TRMC, or a high-level DoD/Service test range, S&T organization, or with S&T leadership
Publications, patents, or competition results in machine learning, autonomy, or robotics (e.g., DARPA challenges, peer-reviewed research)
Experience with adversarial machine learning, model robustness testing, or T&E specifically focused on AI-enabled systems
DAU certification in Test and Evaluation (T&E), in addition to Systems Engineering
Experience evaluating or fielding autonomous systems in an operational or test environment

Benefits:

Medical, Dental, and Vision
Short-Term Disability (at no cost to you) & Long-Term Disability
Life Insurance
401(k) Savings Plan
Flex Spending Accounts
Tuition Assistance Program
Professional Development
Paid Time Off (PTO)
11 Federal Holidays each year

SimIS, Inc. is an EOE / M / F / Disability / VET / Drug Free Employer

About the Company

SimIS

IT solutions for government and defense

SimIS provides information technology solutions for government and defense across modeling and simulation, test and evaluation, cybersecurity, and autonomous systems. Its offerings include executable models built with cognitive systems engineering for simulations, DoD/DHS T&E to verify system readiness, and cybersecurity services such as CMMC compliance, plus autonomous platforms developed in-house like the SAMS maritime system and RiverScout. The company differentiates itself by delivering end-to-end, integrated capabilities from concept to deployment, supported by a veteran-owned background and a dedicated robotics lab that advances unmanned systems. Its goal is to help government customers model, test, secure, and deploy advanced systems through a cohesive suite of engineering, analytics, and IT services.

Company size: 11-50
Company stage: Not listed
Total funding: Not listed
Headquarters: Not listed
Founded: 2007

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