Gnc Engineer

Responsibilities

• Design, develop, and analyze guidance, navigation, and control algorithms for advanced aerospace systems.
• Develop autopilot and control laws for dynamic systems, including tuning and validation of control performance.
• Perform target state estimation, filtering, and sensor fusion to support accurate guidance and navigation solutions.
• Develop, maintain, and improve simulations and models, including state-space and 6-DOF models, to support system design and verification.
• Support hardware-in-the-loop (HIL), software-in-the-loop (SIL), and system-level testing to validate GNC performance.
• Affiliate with field testing and customer-supported test activities, including work with U.S. Department of Defense customers in secure environments.
• Collaborate closely with systems, software, and test engineering teams to integrate GNC algorithms into real-time embedded control systems.
• Contribute to flight dynamics modeling and sensor modeling to improve system accuracy and robustness.
• Interact with hardware in laboratory and office environments to support integration, troubleshooting, and performance evaluation.
• Help drive the development of in-house simulation capabilities and directly influence the technical direction of GNC solutions.

Requirements

• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or a closely related field.
• 3+ years of experience in guidance, navigation, and control (GNC) engineering.
• Proficiency with MATLAB and Simulink for control system design, simulation, and analysis.
• Experience with Python and C++ for algorithm development and implementation.
• Strong knowledge in control system design, including state-space methods and PID control.
• Experience with 6-degree-of-freedom (6-DOF) simulation, control, and estimation.
• Experience with real-time embedded control systems and integrating GNC algorithms into embedded platforms.
• Experience with hardware-in-the-loop (HIL) and software-in-the-loop (SIL) testing.
• Experience with flight dynamics modeling and sensor modeling for aerospace applications.
• Familiarity with sensor fusion techniques and guidance optimization.
• Familiarity with missile, UAV, or aerospace vehicle systems.
• Experience supporting test activities with U.S. Department of Defense customers.
• Strong analytical, problem-solving, and debugging skills in a simulation and test environment.

Qualifications

• Master’s degree in Mechanical Engineering, Electrical Engineering, Aerospace Engineering, or a related discipline is a plus.
• Experience with FPGA-based implementations or interaction with FPGA-controlled systems.
• Experience with advanced filters and state estimation techniques beyond basic implementations.
• Experience with control tuning and optimization for complex dynamic systems.
• Aerospace industry experience, particularly in small, fast-paced organizations.
• Ability to collaborate effectively with multidisciplinary engineering teams and communicate complex technical concepts clearly.

Pay and Benefits

The pay range for this position is $100,000.00 - $150,000.00/yr. Company Benefits include direct benefits such as medical, dental, etc., PTO & holidays. The workplace type is a hybrid position in Huntsville, AL. Actalent is a global leader in engineering and sciences services and talent solutions. We help visionary companies advance their engineering and science initiatives through access to specialized experts who drive scale, innovation and speed to market. With a network of almost 20,000 consultants and 5,000 clients across the U.S., Canada, Asia and Europe, Actalent serves many of the Fortune 500. We are proud to be an Engineering News-Record (ENR) Top 500 Design Firm for our engineering design services and a ClearlyRated Best of Staffing® winner for both client and talent service. The company is an equal opportunity employer and will consider all applications without regard to race, sex, age, color, religion, national origin, veteran status, disability, sexual orientation, gender identity, genetic information or any characteristic protected by law. If you would like to request a reasonable accommodation, such as the modification or adjustment of the job application process or interviewing process due to a disability, please email actalentaccommodation@actalentservices.com for other accommodation options. San Francisco Fair Chance Ordinance: Pursuant to the San Francisco Fair Chance Ordinance, for all positions located in the city and county of San Francisco, we will consider for employment qualified applicants with arrest and conviction records. Massachusetts Lie Detector: 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. Use of Artificial Intelligence (AI): We may use Artificial Intelligence (AI) to support parts of our hiring process, including sourcing, screening, and evaluating candidates. AI helps assess applications and qualifications, but final decisions are made by our hiring team. By applying, you acknowledge and agree that your application may be reviewed using AI tools.