Join MITRE’s Systems Engineering Innovation Center in the Systems Engineering Analytics Department and be part of the group that supports Test and Evaluation. We focus on the development of test strategies, planning, and coordination to field effective and efficient, complex systems.
As member of the Test and Evaluation group, you will have the opportunity to:
- Provide T&E subject matter expertise as teams evolve and apply testing best practices. Evaluate, recommend, and implement test techniques, tools, and strategies; provide testing knowledge and understanding for the support of user requirements of complex software/hardware applications
- Solve problems across the MITRE sponsor domain (e.g., DoD, DHS, VA, IRS, CMS)
- Ensure robust test data preparation and management processes and practices
- Support government leaders in defining and implementing their T&E Strategies, leveraging Agile/SAFe practices
- Work with software and system engineers to evaluate and improve large, complex systems
- Apply principles of test and evaluation to AI systems and to systems in model-based engineering environments and as part of DevSecOps pipelines
- Participate in and contribute to key program technical documentation, and support the customer/sponsor in making necessary system acceptance decisions
- Adapting development and test practices to emerging and evolving best practices and policies for developmental and operational testing
- Conduct qualitative and quantitative systems engineering analyses that can be translated into actionable recommendations for federal agencies
- Bring together the right people, tools, and processes to solve complex problems
Basic Qualifications:
- Bachelor of Science degree in Statistics, Mathematics, Computer Science, Computer, Engineering, Systems Engineering or related major.
- 10 + years related work experience, 2+ year leadership
- Must be a US citizen capable of obtaining & maintaining a US government clearance.
Required Qualifications:
- Experience evaluating, recommending, and implementing test techniques, tools, and strategies
- Documented success applying principles of test and evaluation to AI systems and to systems in model-based engineering environments and as part of DevSecOps pipelines
- Proficient problem-solving skills and capability to collaborate with scientists, analysts, technical experts, and subject matter experts across several technical disciplines
- Desire to learn new techniques and approaches while on-the-job by leveraging structured educational content, published research, and expertise from team members
- Excellent written and verbal communication skill
Preferred Qualifications:
- Master’s degree in Engineering, Computer Science, Physics, Mathematics or relevant technical discipline
- Experience testing software applications and cloud-based architectures
- Experience working with Agile and/or DevOps software development methodologies
- Experience with Autonomous or AI systems
- Experience with DOD or other federal agencies (e.g. DHS, FAA, CMS)