RozTech Solution is seeking a Software and Systems Engineer (TS/SCI required)
Description:
The Joint Test and Evaluation Program Office (JPO) is seekingan engineering professional to help
develop the Digital Engineering (DE) effort within the JPOIntegration Lab. This role will focus on leveraging state ofthe art technologies and methodologies to enable digitaltransformation across program outcomes. This includes Digital Twin systems, Al, and other data-driventechnologies. The SE will be responsible for identifying,developing, and integrating digital tools, modelingmethodologies, and data-driven approaches for operationaltest and evaluation. The SE will also have experience with Model Based Systems Engineering (MBSE) and Modelingand Simulation {M&S). The SE will collaborate
closely with other engineering disciplines, software development teams, and data scientists to integrate digitalsolutions into the project workflow.
Duties:
1. Identifies, implements, and integrates strategic initiatives supporting Department of Defense system development withing the JPO Integration Lab.
2. Independently defines optimal approaches for enablingdigital engineering across program
outcomes.
3. Develops novel methodologies using model-basedapproaches to enable digital transformation over legacy systems and processes.
4. Defines requirements and develops Digital Twin ecosystemsusing digital engineering tools, techniques, and procedures.
5. Streamlines processes, improves accuracy, reduces costs, and accelerates time-to-market for digital engineering projects.
6. Serves as a technical authority responsible for ensuring trustworthiness of complex systems and system-of-system designs and requirements.
7. Supports the organization in developing data drivenapproaches to revitalize product and program outcomes.
8. Solves problems and resolves conflicts to assure successful project completion and organizational initiatives within cost/schedule requirements.9. Prepares and presents influential papers and briefings onsignificant developments in digital transformation initiatives.
Ideal Candidate:
The ideal candidate has experience in SysML, Microsoft Azure,Azure Digital Twin, Digital Twin Definition Language, Python, C++.Additionally, experience with ML/Al development is desirable.
Key Skills and Abilities:
1. Knowledge of professional systems engineering concepts, principles, standards, methods, and techniques toeffectively apply advanced engineering theories, principles, and concepts to project development, execution, andadvisory services.2. Knowledge of development testing and evaluation sufficient to apply novel applications to issues and providetechnical advice and direction in support of operational testand evaluation.3. Knowledge of digital engineering methods, techniques, andpractices as they pertain to the
development of model-based and data driven system design.
4. Knowledge of data science methodologies, to include rules-based and ML-based Al systems.
5. Ability to devise and evaluate criteria, parameters, characteristics, and interrelationships for design approaches, and to assess the impact of new technology on current systems and processes.
6. Ability to communicate effectively, both orally and in writing, clearly, concisely, with technical accuracy, make sound judgments concerning program progress, and effectively communicate recommendations orally and in writing to higher organizational management.
Company Description:
Our client has over 25 years of experience providing a broad range of professional support services and IT solutions for the Department of Defense, Civilian Agencies, and commercial customers, nationwide and abroad. Our client offers competitive compensation packages, sponsorship for DoD clearance as required, opportunities for career growth, 401k investment platform with matching, as well as full medical, dental, vision and life insurance at no cost to our full-time employees.
Job Type: Full-time
Benefits:
- 401(k)
- Dental insurance
- Health insurance
Compensation package:
- 1099 contract
- Bonus opportunities
- RSU
- Stock options
- Yearly pay
Experience level:
Schedule:
Security clearance:
Ability to Commute:
- Suffolk, VA 23434 (Required)
Ability to Relocate:
- Suffolk, VA 23434: Relocate before starting work (Required)
Work Location: In person