Physics Informed Machine Learning Jobs in Colorado Springs, CO

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The Systems Integration Department is charged with identifying, developing, and applying new technologies that can address the Government's most challenging Systems Engineering problems. This is an opportunity for experienced engineers who are highly motivated, innovative, and proactive. This position provides challenging opportunities to apply and expand one's architecture modeling and system integration skillsets. Areas of interest include Model Based Engineering (MBSE, MDA, MDD, MDE), Systems of Systems, architecture modeling, analysis of complex systems, and decision support.
Roles & Responsibilities:
The Systems Integration Department is seeking a Lead Systems Engineer to support government sponsors in architecting, analyzing, integrating and advancing complex mission and enterprise systems across evolving national security environments. The selected candidate will lead the application of Model-Based Systems Engineering (MBSE), Systems Integration, Executable MBSE, Architecture Analysis, and Digital Engineering methods to develop, evaluate, and evolve system architectures that enable informed engineering, acquisition, and investment decisions. Working collaboratively across technical, operational, acquisition, and programmatic stakeholders, the candidate will translate mission needs into integrated architectural solutions, engineering analyses, digital engineering artifacts, and actionable recommendations that improve mission outcomes and enable digital transformation through an authoritative digital thread.

• Model architectures of complex systems using standards-based frameworks and languages (e.g. UAF, SysML, UML).
• Develop executable systems engineering models that verify and validate end-user needs.
• Design and develop prototypes, dashboards and/or plugins using Java, Python, and related programming languages.
• System Integration activities that may include application of industry standards such as MOSA standards (e.g. OMS, UCI, FACE, etc.) and setting up executable models to verify and validate interfaces.
• Assist in evaluating architectures using qualitative and quantitative techniques.
• Advise government sponsors and program managers on architecture strategies, digital engineering transformation, technology insertion opportunities, system modernization approaches, technical roadmaps, and engineering decisions that improve mission outcomes and reduce program risk.
• Serve as a technical leader and mentor by providing guidance, feedback, and knowledge sharing to junior engineers while helping shape technical approaches, department capabilities, and sponsor solutions across multiple projects.

Basic Qualifications:

• Typically requires a minimum of 8 years of systems engineering or aerospace engineering experience with a bachelor's degree in a STEM related field; or 6 years and a master's degree; or a PhD with 3 years' experience; or equivalent combination of related education and work experience.
• Experience with systems engineering methodologies; familiarity with Model-Based Systems Engineering (MBSE) principles.
• Familiarity with modeling frameworks and languages such as UAF, SysML, and UML.
• Demonstrated ability to develop and manage system requirements, and to produce logical and functional system designs (system structure, behaviors, and data flows).
• Experience with MATLAB, Python, or other modeling and data analysis software tools
• Interest in Artificial Intelligence (AI) and Machine Learning (ML) concepts and tools
• Strong communication skills with demonstrated experience briefing senior government or senior customer stakeholders on status, critical decisions, and technical recommendations
• Must be eligible to obtain and maintain a Secret U.S Government issued Security Clearance.
• This position requires a minimum of 50% hybrid on-site

Preferred Qualifications:

• Master's or PhD degree in Aerospace Engineering, Systems Engineering, or related field
• Hands-on experience with MBSE tools and environments; CATIA Magic / Cameo experience preferred
• Experience in data architecture for complex systems
• Experience with Product Lifecycle Management (PLM) tools and processes
• Knowledge of systems architecture and systems design and development. Understanding of modern Systems Engineering methods.
• Experience with multi-disciplinary modeling and simulation (physics-level, engineering-level and/or operational-level).
• Proficiency in one or more of the programming languages for quantitative analyses (ex. MATLAB, R, Python, etc).
• Interest and/or experience designing Autonomous Systems
• Experience with Artificial Intelligence (AI) and Machine Learning (ML) concepts and tools
• Active Top Secret Clearance

This requisition requires the candidate to have a minimum of the following clearance(s):
None
This requisition requires the hired candidate to have or obtain, within one year from the date of hire, the following clearance(s):
Secret
Salary compensation range and midpoint:
$146,400 - $183,000 - $219,600 Annual
Work Location Type:
Hybrid
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local or international law.
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