Principal Defense Systems Analyst at STR
Woburn, Massachusetts, USA -
Full Time


Start Date

Immediate

Expiry Date

28 Nov, 25

Salary

0.0

Posted On

28 Aug, 25

Experience

8 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Good communication skills

Industry

Information Technology/IT

Description

ABOUT THE TEAM

The Sensors Division at STR focuses on technology development for advanced sensor systems and platforms in support of national security. At STR, Defense Systems Analysts study complex defense technologies and systems by building representative, physics-based models; analyzing data; developing metrics of performance; and evaluating these models against mission requirements. In addition, the analyst will often integrate the algorithms and control systems that are critical to operations of modern defense systems.
The Systems Autonomy, Analysis, and Modeling (SAAM) Group within the Sensors Division uses modeling and simulation to create and analyze system architectures and designs and their mission impact. We focus on the capability and limitations of ground, air, and space sensing and counter-sensing platforms (both crewed and uncrewed) and the resource management of these assets in the service of the survivability and capability of US air and space assets (e.g., the F-35 Joint Simulation Environment) using the methods of operational and systems analysis. SAAM is developing software and hardware tools and datasets to support these analyses, including algorithms, processing chains, and scenarios to inform and deploy onto prototype demonstration systems as well as operational systems. Our main customer focus is on Air Force, Navy, and DARPA research programs.

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Responsibilities

THE ROLE:

The SAAM Group is seeking a Principal Defense Systems Analyst to research, design, develop and implement a portfolio of capabilities to characterize the impact of advanced concepts and algorithms on the performance and survivability of operational systems in a variety of scenarios. You will lead and advise fellow researchers, scientists, and engineers on multi-disciplinary teams spread across multiple STR campuses to understand customer objectives, craft strategic plans, lead proposal efforts, and develop innovative solutions to complex and challenging national security problems. Your areas of specific focus will include innovating and developing advanced modeling & simulation and systems engineering capabilities.
A successful candidate will have significant expertise and skill in several of the following areas: systems engineering, radar systems, modeling & simulation, test & evaluation, hardware design, software architecture, resource management, signal processing, and/or communications. This position requires skills in leading multi-disciplinary teams, managing complex system design, development, and test programs, developing technology roadmaps and marketing strategies, as well as deep technical proficiency in relevant technologies. Strong interpersonal, communication, technical, management, mentorship, and peer-leadership skills are also required.
Interviews for this role will require an in-person or virtual presentation.

WHAT YOU WILL DO:

  • Lead multi-disciplinary and multi-site teams to develop system studies and new capabilities
  • Develop and implement sensor, platform, and threat models within simulation environments and in support of software and hardware prototypes
  • Utilize and enhance simulation tools, incorporating real-world data, to conduct in-depth studies of system performance and effectiveness
  • Design, develop, validate, and manage large-scale simulations, with a focus on sensing and counter-sensing technologies
  • Serve as a subject matter expert on the capabilities of current and future US and threat weapon systems, sensors, and platforms
  • Synthesize complex data into actionable insights, providing strategic assessments and evaluations to inform defense planning and decision-making
  • Prepare and deliver comprehensive technical reports and presentations to government customers, articulating the implications of simulation findings on national security
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