Internship in space systems engineering focusing on optical, RF, and modeling & simulation.
Responsibilities
Collaborate on advanced space systems projects focused on optical systems, RF communications, and modeling and simulation.
Analyze and research state-of-the-art system designs such as telescope image processing, laser communication links, radar systems, and antenna designs.
Develop and refine modeling and simulation tools to study issues such as orbital mechanics, RF behavior in space environments, space object tracking, and mission scenarios.
Research and evaluate new technology concepts, including advanced sensors, optical payloads, radar algorithms, and spacecraft subsystems.
Perform trade studies, algorithm development, quantitative analyses, and system performance evaluations.
Requirements
Bachelor's or Master's degree in Optical Engineering, Electrical Engineering, Physics, Astronomy, Computer Science, Mathematics, or related fields
Operational Analyst to drive the modeling, simulation, and analysis of Shield AI’s autonomous aircraft systems, evaluating the mission effectiveness, survivability, and operational impact of our next gen UAS and other autonomous platforms.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Develop and execute operational analysis strategies to assess the effectiveness of autonomous aircraft in real-world military scenarios.
Lead modeling, simulation, and wargaming efforts to evaluate system performance, mission impact, and survivability in contested environments.
Work closely with engineering teams to translate operational insights into design decisions and system improvements.
Conduct trade studies and sensitivity analyses to assess system performance under varying operational conditions and threats.
Lead operational analysis for Shield AI’s autonomous aircraft systems, driving modeling, simulation, and mission impact assessments to inform product decisions and stakeholder engagement.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Plan, own and execute operational analyses to assess the effectiveness of autonomous systems in representative military scenarios.
Develop and run modeling, simulation, and wargaming analyses to evaluate system performance, mission impact, and survivability in contested environments.
Collaborate with engineering teams and product managers to translate operational findings into actionable system insights.
Perform trade studies and sensitivity analyses to assess system performance across varying operational conditions, assumptions, and threat environments.
Build, modify, and analyze mission‑level models using tools such as AFSIM, STK, MATLAB, Python, or similar M&S frameworks.
Requirements
Bachelor’s degree in science, technology, engineering or math domain
Lead operational analysis, modeling, simulation, and wargaming for Shield AI’s autonomous aircraft systems to evaluate mission effectiveness and inform design decisions.
Compensation
Pay within range listed + Bonus + Benefits + Equity
Responsibilities
Develop and execute operational analysis strategies to assess the effectiveness of autonomous aircraft in real-world military scenarios.
Lead modeling, simulation, and wargaming efforts to evaluate system performance, mission impact, and survivability in contested environments.
Work closely with engineering teams and product managers to translate operational insights into design decisions and system improvements.
Conduct trade studies and sensitivity analyses to assess system performance under varying operational conditions and threats.
Lead the application of modeling & simulation and machine learning to optimize high‑speed manufacturing processes and develop digital twins for virtual qualification and real‑time manufacturing.
Responsibilities
Apply M&S and ML concepts to develop and optimize high‑speed manufacturing processes
Develop digital twins for virtual qualification and real‑time manufacturing
Create fast surrogate models of complex engineering processes
Balance in‑house development with turnkey solutions and perform technical due diligence
Collaborate with cross‑functional R&D scientists and engineers
Requirements
Master’s or PhD in an engineering discipline
Advanced degree in computer science, statistics, applied mathematics or related quantitative field
Nice to have: Deep Learning
Nice to have: Optimization (global, local, stochastic)
As a Lead Mission Engineer, you will support Army sponsors in the development of mission architectures, operational concepts, and system-of-systems solutions to address critical warfighting challenges, leading engineering analyses and architecture development with small multidisciplinary teams.
Compensation
Salary compensation range and midpoint: $146,400 - $183,000 - $219,600 Annual
Responsibilities
Partner with Army sponsors to execute mission engineering, architecture development, and capability assessment activities aligned to operational priorities.
Collaborate across the Systems Engineering Division and MITRE technical community to integrate expertise in systems engineering, digital engineering, communications, modeling and simulation, data analytics, and operational analysis.
Develop and assess mission architectures, operational concepts, and system-of-systems solutions using mission engineering, MBSE, digital engineering, and quantitative analysis techniques.
Evaluate capability gaps, mission effectiveness, operational risks, and technical tradeoffs to support government decision-making.
Apply modern engineering methods and tools, including Digital Engineering, MBSE, AI/ML, data analytics, and modeling and simulation, to support architecture development, requirements analysis, and modernization efforts.
A Junior Systems Engineer providing systems engineering assistance throughout the acquisition lifecycle for C2ISR programs including U-2, JSTARS, and AF DCGS.
Compensation
Range $95,000-$105,000
Responsibilities
Provide systems engineering support throughout the acquisition lifecycle, including requirements analysis, design, development, integration, testing, deployment, sustainment, and operations.
Conduct systems engineering reviews, technical assessments, and trade studies to evaluate system performance, cost, schedule, risk, and technical effectiveness.
Support the development, maintenance, and management of system requirements, technical baselines, architectures, and interface documentation.
Translate operational and user requirements into system and subsystem requirements using approved DoD and Air Force acquisition processes.
Support architecture development and analysis, including traditional systems engineering methodologies, Model Based Systems Engineering (MBSE), and digital engineering approaches.
Design and develop next-generation hypersonic flight vehicles, Earth-to-orbit launch systems, human and robotic spacecraft, and space re-entry vehicles.
Develop and optimize trajectories using 3-DoF, 4-DoF & 6-DoF flight software
Apply a strong understanding of closed loop guidance laws
Requirements
Bachelor’s, Master's or Doctorate degree in Aerospace Engineering
Nice to have: high level disciplinary experience with multidisciplinary analysis and optimization of high-speed flight and/or launch vehicle design
Nice to have: industry experience in modeling and testing flight software and hardware and implementation of Software-in-the-loop / Hardware-in-the-loop ground tests
Nice to have: Experience writing DO-178C compliant flight software
Nice to have: working directly in compiled languages such as C++ and/or Rust
Comprehensive healthcare coverage options including medical, telemedicine, vision, dental, long-term disability, short term disability, health savings accounts, and flexible spending accounts
Flexible work schedules - the position is in-office at our facility in Atlanta, GA, however we do offer telework days, compressed workweek options, core hours, and flex time
Paid time off, holidays, parental leave, and sabbatical leave
401k + company match, opportunities for bonuses, employee experience events throughout the year, employee assistance program
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