Modeling & Simulation Architect, Space Based Interceptors

Reposted 20 Hours Ago
Be an Early Applicant
2 Locations
In-Office
180K-260K Annually
Senior level
Aerospace • Artificial Intelligence • Hardware • Machine Learning • Software • Defense • Manufacturing
Delivering decisive capabilities for space superiority.
The Role
The Architect oversees digital twin architecture for Missile Defense systems, integrating modeling into a Model-Based Systems Engineering environment and ensuring credible system performance assessments.
Summary Generated by Built In

Space is a warfighting domain. True Anomaly seeks those with the talent and ambition to build the technology that secures it.

OUR MISSION

True Anomaly delivers decisive capabilities for space superiority. We build autonomous spacecraft, advanced payloads, mission software, and space-based interceptors — enabling the U.S. and its Allies to secure the space environment and counter threats from the ultimate high ground.

OUR VALUES

  • Be the offset. We create asymmetric advantages with creativity and ingenuity.
  • What would it take? We challenge assumptions to deliver ambitious results.
  • It’s the people. Our team is our competitive advantage and we are better together.

YOUR MISSION

The Modeling & Simulation Engineering Architect is responsible for establishing and owning the end-to-end digital twin architecture for the Space Based Interceptor system. This includes defining the technical strategy, model hierarchy, fidelity progression, interfaces, and governance necessary to ensure that digital twins serve as authoritative representations of system performance throughout the program lifecycle. 

In this role, the Architect leads the development, integration, and maturation of vehicle-level and subsystem-level models across all Missile Defense elements, including the Host Vehicle, Propulsion Units, and Kill Vehicles. Subsystem performance models—encompassing propulsion, guidance, navigation and control (GNC), seekers, and other critical disciplines—are coherently integrated and rolled up into system-level digital twins capable of evaluating end-to-end mission performance and design trades. 

The Architect establishes and executes a regular digital twin release cadence, enabling continuous tracking of system performance maturity. These releases are used to assess requirement compliance, identify performance shortfalls, quantify technical risk, and inform engineering and program decisions. The role ensures that modeling assumptions, limitations, and uncertainties are well understood and that results are credible and decision-relevant. 

A core responsibility of this position is the integration of digital twin models into the program’s Model-Based Systems Engineering (MBSE) environment. The Architect ensures consistency and traceability between analytical models, system architecture, requirements, and verification artifacts, and supports the delivery of MBSE products required to meet contractual obligations. 

Operating within a matrixed functional engineering organization, the Architect serves as the technical authority for modeling and simulation across disciplines. This includes defining modeling standards and best practices, coordinating efforts across subsystem teams, and ensuring alignment between modeling activities and overall system architecture. The Architect works closely with systems engineering, software, test, and program leadership to ensure digital twins are effectively leveraged across design, analysis, and risk reduction efforts. 

QUALIFICATIONS 

Required Qualifications 

  • Demonstrated ownership of modeling and digital twin architectures for complex, multi-element systems, such as: Multi-stage launch vehicles, Space vehicles with multiple deployable or interceptor elements,  Complex aircraft or integrated weapon systems.  Single spacecraft experience alone is not sufficient.
  • 10+ years of direct Modeling and Simulation technical, hands on ownership 
  • Prior responsibility for defining modeling strategy, not just executing individual analyses. 
  • Digital twins used for program decisions and contractual delivery often require credibility frameworks. 
  • Experience establishing model VV&A plans 
  • Familiarity with model credibility assessment for decision support 
  • Traceability between requirements, assumptions, and model outputs 
  • Experience with uncertainty propagation, Monte Carlo methods, and sensitivity analysis 
  • Ability to quantify confidence bounds on performance predictions 
  • Experience integrating analytical models with SIL/HIL environments 
  • Familiarity with real-time or near-real-time modeling constraints 
  • Understanding of latency, communications, and data fusion impacts on performance 

Technical Skills 

  • Mission-level or engagement-level modeling tools such as AFSIM and/or STK 
  • Strong proficiency in Python and MATLAB 
  • Experience developing or integrating high-performance models in C++ 
  • Hands-on experience with FEA and multi-physics modeling tools (e.g., structures, thermal, propulsion, coupled effects) 
  • Experience defining model governance frameworks  DevOps practices for model configuration control, versioning, and reproducibility (e.g., MLflow or similar frameworks) 
  • Experience modeling sensor-to-shooter, command & control, or fire control architectures 

Desired Qualifications 

  • Systems thinker with the ability to balance model fidelity, schedule, and decision relevance 
  • Comfortable operating as a technical authority across organizational boundaries 
  • Able to translate analytical results into clear insights for engineering and program leadership 
  • Experience in defense or national security programs preferred 

COMPENSATION  

  • Base Salary: $200,000-$330,000
  • Equity + Benefits including Health, Dental, Vision, HRA/HSA options, PTO and paid holidays, 401K, Parental Leave 

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education and experience. 

ADDITIONAL REQUIREMENTS

  • Work Location—Successful candidates will be located near Denver or Colorado Springs. While we observe a hybrid work environment, some work must be done on site.
  • Work environment—the work environment; temperature, noise level, inside or outside, or other factors that will affect the person's working conditions while performing the job.
  • Physical demands—the physical demands of the job, including bending, sitting, lifting and driving.

This position will be open until it is successfully filled. To submit your application, please follow the directions below. #LI-Onsite

To conform to U.S. Government space technology export regulations, including the International Traffic in Arms Regulations (ITAR) you must be a U.S. citizen, lawful permanent resident of the U.S., protected individual as defined by 8 U.S.C. 1324b(a)(3), or eligible to obtain the required authorizations from the U.S. Department of State.

True Anomaly is committed to equal employment opportunity on any basis protected by applicable state and federal laws. If you have a disability or additional need that requires accommodation, please do not hesitate to let us.


Skills Required

  • Ownership of modeling and digital twin architectures for complex multi-element systems
  • Prior responsibility for defining modeling strategy
  • Experience establishing model verification, validation, and accreditation (VV&A) plans
  • Familiarity with model credibility assessment
  • Experience with uncertainty propagation and sensitivity analysis
  • Ability to quantify confidence bounds on performance predictions
  • Experience integrating analytical models with SIL/HIL environments
  • Understanding of latency and communications impacts
  • Familiarity with mission-level modeling tools
  • Experience in developing or integrating high-performance models

True Anomaly Compensation & Benefits Highlights

  • Healthcare Strength Public materials indicate 100% employer‑sponsored healthcare, including medical, dental, and vision, with HSA/HRA options highlighted as part of the core package.
  • Leave & Time Off Breadth Careers content and listings emphasize generous PTO and paid holidays, presenting time away from work as a meaningful component of total rewards.
  • Parental & Family Support Sources describe generous parental leave and on‑site support such as a Mother’s Room, signaling attention to family needs.

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The Company
HQ: Centennial, CO
300 Employees
Year Founded: 2022

What We Do

Space was once the quietest place in the universe. Now, it's crowded, contested, and confrontational.  We are True Anomaly: the only defense company focused exclusively on space defense. Founded in 2022 by ex-U.S. Space Force members, True Anomaly designs and builds advanced systems for space superiority: agile and powerful spacecraft platforms, mission software engineered for unmatched command and control, and payloads tailored for precision sensing and effects.    True Anomaly is headquartered in Centennial, CO, with regional offices in Colorado Springs, CO, Long Beach, CA, and Washington, D.C.  We are hiring and seeking exceptional talent to join True Anomaly, from any technical industry or background, to bring unique talents, perspective, and solutions. If you embrace complexity, lead instead of follow, showcase integrity over ego, take ownership for outcomes, and measure success by impact, we want to hear from you.

Why Work With Us

True Anomaly exists to enable a secure, stable, and sustainable space environment for the US, its allies, and partners. We design and build spacecraft and software solutions for space superiority. If you are ready to contribute to the future of space defense, we’d love to hear from you.

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True Anomaly Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

We are a hybrid office culture. Our employees work from offices in Denver, Colorado Springs, Los Angeles, and Washington D.C. We recognize the importance of in-office collaboration, but also the value of a flexible work and location requirements

Typical time on-site: Not Specified
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