| Location | Edwards Air Force Base, CA |
| Industry | Aerospace and Defense |
| Company Size | 500 to 999 employees |
| Year Founded | 1993 |
| Website | http://www.mtsi-va.com/ |
Establish a "data-driven test" infrastructure and process for Doolittle Labs, aligned with the AFTC Multi-Domain Test Force (MDTF) and AFTC Data Working Group and VAULTIS-compliant for integration into the DAF Data Mesh Environment (DME). Support all flight-test activities executed by Doolittle Labs, including modeling and simulation (M&S), test-data planning, and data acquisition requirements definition. Support flight-test data analysis post-event, including data received from OEM partners (e.g., Lockheed Martin, RTX, Calspan, Boeing, Northrop Grumman, among others) and translation of OEM outputs into Doolittle Labs analysis products. Apply data-analysis tools to quantify AI-agent performance early-in simulation, HITL/SITL, and pre-flight environments; before flight test on the X-62A VISTA. Provide and disseminate flight-test results to Doolittle Labs leadership, sponsors, PAE/PM reach-back customers, and, where and when authorized and cleared, the broader T&E community. Ensure that task related products are consistent in format and content with overall project deliverables - Routinely engage with Govt technical representative + tech leads for our teammates and subcontractors Acts as a resource/mentor for colleagues with less experience Works independently, with guidance in only the most complex situations Working knowledge of applied statistical analysis, exploratory data analysis, and common machine-learning techniques as applied to engineering data. Working knowledge of flight-test practices (test cards, telemetry, post-flight data reconstruction) is preferred, or a demonstrated ability to acquire that knowledge quickly. Awareness of the DAF Data Strategy (VAULTIS, DME) and DCWF data-workforce framework; awareness of AFTC data-infrastructure activities led by the MDTF and AFTC Data Working Group. Awareness of AI/autonomy T&E concepts sufficient to support Data Scientist and Director-level tasking, including basic V&V considerations for nondeterministic systems. Proficiency with Python (e.g., pandas, NumPy, matplotlib) and SQL for data extraction, transformation, and analysis. Working proficiency with a data-visualization platform (Tableau, Power BI, or plotly) sufficient to produce reviewable analysis products. Working proficiency with MATLAB and/or Excel for engineering-data analysis; ability to work with structured telemetry files (CSV, HDF5, etc). Experience with data cleaning, quality checks, ETL construction, and basic pipeline maintenance. Skill in version control (e.g, Git) and reproducible-analysis practices (Jupyter, notebook standards Collaboration/Teamwork: Engages others across roles through communication and mutual respect, shares insights, enabling effective teamwork to ensure collective success. Entrepreneurialism: Fosters innovation, evaluates ideas, and advances initiatives with sound judgment and organizational awareness to drive growth and impact. (innovation) Communication: Communicates clearly and effectively, fostering understanding, collaboration, and alignment through active listening and impactful messaging. (effective communication) Customer Focus: Prioritizes customer needs, builds trust, and delivers exceptional service by using insights to drive improvements and strengthen relationships. (customer insight) Minimum of 1-3 years of professional data-analysis, data-engineering experience, or comparable applied experience. Prior experience at AFTC, USAF Test Pilot School (TPS), TRMC, AFRL, DARPA, or an OEM flight-test organization. Experience with X-62A VISTA, F-16 VENOM, Group 1-3 UAS, or similar AI-in-the-loop flight-test programs. Familiarity with VAULTIS-compliant data products or DAF Data Mesh Environment integration. Publication record in flight-test T&E, AI evaluation, or related peer-reviewed venues. Familiarity with VAULTIS / DAF Data Mesh Environment data-product concepts. B.S. in Computer Science, Statistics, Data Science, Aerospace or Systems Engineering, Applied Mathematics, or a related STEM discipline. Active Secret clearance is required Ability to qualify for and maintain a TS/SCI clearance U.S. Citizenship is required The expected pay range for this position in California is $XXX,000/year to $XXX,000/year; however, base pay offered may vary depending on established government contract ranges, job-related knowledge, skills, and experience, and other factors. Base pay information is based on market location. LI-RR1 mtsi LI-Onsite
Modern Technology Solutions, Inc., a fast paced and dynamic "engineer-owned and operated" technology firm, provides leading edge technical services in unmanned systems engineering, ballistic missile defense, air vehicle survivability and flight test operations. From our co-presidents to our project team members, MTSI employees stay actively engaged in multiple engineering activities and programs.
We are respected throughout the aerospace industry and work hard to protect our reputation of providing quality technical and programmatic work by using ethical, honest, and fair business practices.
MTSI possesses big-company aerospace engineering capabilities, with small-company responsiveness and flexibility.
We are only successful if our clients are successful.
MTSI employees are...
As a dynamic company with exceptional growth opportunities, MTSI is always seeking and recruiting top quality technical experts. Many of our recently hired employees hold advanced technical degrees in electrical or aerospace engineering, have a proven work record of excellence, and at least a Secret security clearance.
Additionally, as a leader in the development of innovative solutions to support national defense, MTSI also hires high-energy junior engineers with great potential to advance cutting edge technology in aerospace and systems engineering.
If you possess these qualities and want to be involved in the latest technological challenges that are critical to our nation, we invite you to Discover MTSI.