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Internship Control Theory Engineer Jobs in Colorado

True Anomaly

GNC Engineer

Denver, CO · On-site

Own all aspects of Guidance, Navigation, and Control (GNC) system development for missile systems ... through internships, coursework, or projects * Ability to build, test, and debug flight software ...

True Anomaly

GNC Engineer, Missile Defense

Denver, CO · On-site

Own all aspects of Guidance, Navigation, and Control (GNC) system development for missile systems ... through internships, coursework, or projects * Ability to build, test, and debug flight software ...

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All JobsControl Theory Engineer JobsInternship Control Theory Engineer JobsInternship Control Theory Engineer Jobs in Colorado

Internship Control Theory Engineer information

What is the difference between Internship Control Theory Engineer vs Control Systems Engineer?

AspectInternship Control Theory EngineerControl Systems Engineer
CredentialsTypically pursuing or recent graduate in control engineering, electrical engineering, or related fieldsBachelor's or master's degree in control engineering, electrical engineering, or related fields
Work EnvironmentInternship setting, often in research labs or development teamsFull-time professional role in industry, manufacturing, or technology companies
Industry UsageUsed for training, skill development, and project support during studiesDesign, implementation, and maintenance of control systems in real-world applications

In summary, an Internship Control Theory Engineer is a temporary, learning-focused role for students or recent graduates, while a Control Systems Engineer is a full-time professional responsible for designing and managing control systems in industry.

What types of projects can an internship control theory engineer expect to work on, and how is mentorship typically provided?

As an Internship Control Theory Engineer, you can expect to work on projects involving modeling, simulation, and analysis of dynamic systems—often supporting the development or improvement of control algorithms for mechanical, electrical, or robotic systems. Interns frequently assist with data analysis, running simulations in tools like MATLAB/Simulink, and performing hardware-in-the-loop testing. Mentorship is commonly provided through regular check-ins with a senior engineer or supervisor, collaborative team meetings, and hands-on guidance during project tasks. This supportive environment helps interns quickly build technical skills and gain exposure to real-world engineering workflows.

What does an internship control theory engineer do?

An Internship Control Theory Engineer works alongside experienced engineers to design, analyze, and implement control systems for various applications, such as robotics, automation, or aerospace. Interns typically assist in modeling dynamic systems, developing algorithms, running simulations, and supporting experimental validation. This role offers hands-on experience with industry tools and exposure to real-world engineering challenges while applying theoretical knowledge from coursework.

What are the key skills and qualifications needed to thrive as an internship control theory engineer?

To thrive as an Internship Control Theory Engineer, a solid background in mathematics, dynamics, and control systems, typically supported by coursework in engineering or applied mathematics, is essential. Familiarity with simulation tools like MATLAB/Simulink and programming languages such as Python or C++ is commonly expected. Strong problem-solving abilities, curiosity, and effective communication help interns collaborate and learn quickly in technical environments. These skills and qualities enable efficient analysis, design, and implementation of control solutions, contributing to successful project outcomes.
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Internship Control Theory Engineer jobs near you
Infographic showing various Internship Control Theory Engineer job openings in Colorado as of August 2026, with employment types broken down into 1% As Needed, 77% Full Time, 19% Part Time, and 3% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution.

GNSS Navigation and Estimation Engineer

Albedo

Broomfield, CO • On-site

$130K - $155K/yr

Full-time

Re-posted 5 days ago

Job description

What You'll Do:
  • Design and implement a high-accuracy, real-time onboard orbit estimator for a VLEO spacecraft using EKF or equivalent nonlinear filtering approaches; incorporate dynamic force modeling (gravity, drag, SRP), atmospheric drag state estimation, and reprocessing of raw GNSS measurements (code and carrier phase where applicable).
  • Develop and maintain the dynamic process models used in both real-time filtering and short-horizon prediction, including uncertainty propagation and covariance realism analysis suitable for maneuver planning and conjunction inputs.
  • Design and validate short-term orbit prediction methods (propagation, smoothing, covariance growth characterization) and quantify prediction error during high-drag and geomagnetic storm conditions.
    Support low-thrust operations by:
    • Modeling finite-burn dynamics within the estimator,
    • Performing maneuver reconstruction and thrust parameter estimation,
    • Contributing to steering law and guidance design in close coordination with GNC.
  • Analyze orbit-attitude-drag coupling in VLEO and incorporate those effects into estimation and prediction models.
  • Generate and own robust, testable C/C++ flight software for real-time orbit determination, with strong attention to numerical stability, covariance integrity, and diagnosability.
  • Build and maintain ground-based validation and regression infrastructure, including closed-loop simulation, measurement replay, Monte Carlo campaigns, and hardware-in-the-loop testing with GNSS receivers and antenna systems.
  • Provide technical support for GNSS spaceflight hardware integration, including measurement modeling, command and telemetry integration, calibration analysis, and anomaly triage.
Your Ideal Skills and Experience:
  • Bachelor's or Master's degree in Aerospace, Electrical, Mechanical Engineering, Physics, or related field.
  • Strong C/C++ skills for flight software development, including numerical methods, floating-point stability, and deterministic behavior on embedded processors.
  • Proficiency in Python for analysis, simulation, and test automation.
  • Hands-on experience with nonlinear state estimation (EKF/UKF, smoothing, batch least-squares, or factor-graph methods) and strong numerical linear algebra fundamentals.
  • Familiarity with common GNSS formats and products (RINEX, SP3, IONEX, differential code bias, and related bias products) and correction ingestion pipelines
  • Deep understanding of GNSS measurement modeling (code and carrier phase), bias handling, and real-world sensor pathologies.
  • Solid knowledge of GEO/MEO/LEO/VLEO orbital perturbations (gravity harmonics, drag variability, SRP) and their representation in dynamic models.
  • Experience with covariance propagation, filter consistency testing (NEES/NIS), and operational health monitoring.
  • Experience integrating GNSS receivers, antennas, and optionally IMUs; familiarity with hardware-in-the-loop validation is strongly preferred.
  • Experience with control theory and guidance for low-thrust or drag-modulated flight is a plus.
  • Experience designing regression tests, Monte Carlo campaigns, and closed-loop simulation environments.
  • Comfort leveraging modern AI-assisted development tools with strong verification discipline and traceability.

Even if you feel like you don't meet all of the qualifications, we encourage you to apply! Research shows that while men apply to jobs where they meet an average of 60% of the criteria, women and other marginalized people tend to only apply when they meet 100% of the qualifications.

Salary Range:

$130,000 - $155,000 per year

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About Albedo

Sourced by ZipRecruiter

Industry

Aerospace product and parts manufacturing

Company size

11 - 50 Employees

Headquarters location

Austin, TX, US

Year founded

2020

Social media

Twitter

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