About Careertakes

👉 Important disclosure: Careertakes is a third-party recruiting platform supporting this hiring process. If selected, you will be employed directly by our client, Defense, Aerospace & IT.

Applicants for this role may also receive access to additional matched opportunities through the Careertakes platform.

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What You’ll Do

You will join a systems engineering team supporting real-time embedded navigation receivers used in defense and aerospace platforms. This entry-level role focuses on algorithm development, system modeling, embedded implementation, and integration/validation of navigation and sensor-fusion systems.

• Support architecture, design, and development of real-time embedded Navigation receivers for ground, airborne, and weapons applications
• Develop state-estimation and sensor-fusion algorithms (e.g., Kalman filters) and validate performance in simulation and test
• Implement embedded code in C++ and prototype algorithms and data processing in Python
• Model and simulate systems using MATLAB/Simulink; generate test vectors and run automated validation
• Integrate sensor data streams (GPS, IMU, magnetometer, vision/LiDAR) and handle coordinate transforms (Euler, quaternions)
• Create test plans, run hardware-in-the-loop and laboratory tests, and support verification/validation efforts
• Document designs and integrate with MBSE workflows and configuration/tracking tools
• Collaborate with cross-functional teams (hardware, firmware, test engineers) and maintain compliance with security requirements

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What We’re Looking For (Minimum Qualifications)

• Bachelor’s degree in a STEM field (Science, Technology, Engineering, or Math)
• Must be a U.S. citizen (required for this role)
• Ability to obtain a DoD security clearance
• Strong foundation in linear algebra, calculus, and probability/stochastic processes
• Hands-on experience with MATLAB/Simulink for modeling and simulation
• Experience programming in C++ (embedded) and Python (data analysis/prototyping)
• Ability to process and visualize large datasets (NumPy, Pandas, MATLAB)
• Good problem-solving skills and clear written/verbal communication

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Preferred Qualifications

• Master’s or PhD in a STEM discipline
• Active Secret (or higher) security clearance
• Experience with Jira and DOORS for requirements and issue tracking
• Familiarity with Model-Based Systems Engineering (MBSE) tools (CAMEO, SysML, MagicDraw)
• Knowledge of Kalman filtering variants (EKF, UKF) and recursive estimation
• Understanding of IMU mechanics and strapdown integration
• Experience integrating heterogeneous sensors (GPS, IMU, magnetometers, vision/LiDAR)
• Interest or experience in applying AI/ML tools to system development and prototyping

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Location & Work Type

This role is full-time and requires 100% on-site work at a Confidential Client facility in the United States due to the classified/nature-of-work and collaboration requirements.

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Employment Type & Compensation

• Employment type: Full-time (Contractor)
• Estimated compensation: $143,998 per year (estimated)

Note: The salary shown is an estimate provided by the source and may vary by location and candidate experience.

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Benefits

Confidential Client provides a comprehensive benefits package for regular employees working 20+ hours/week, including health, dental, and vision insurance; health savings accounts; 401(k); disability and life insurance; paid time off and holidays; employee assistance programs; and other voluntary programs and discounts. Temporary or contract positions may have different eligibility for benefits.

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Equal Opportunity & Hiring Transparency

Careertakes and our client are Equal Opportunity Employers committed to building a diverse and inclusive workforce. We prohibit discrimination or harassment of any kind. To support a fair and efficient hiring process, AI tools may be used to assist with application review or resume screening. These tools do not replace human decision-making. Final hiring decisions are made by people.

If you have questions about how your data is used, please contact us directly.