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Internship Autonomous Systems Engineer Jobs in Alabama

The engineer collaborates closely with multidisciplinary teams in systems, hardware, software ... systems, robotics, and autonomous platforms. Responsibilities * Serve as the primary technical ...

Remote, USA As a Modeling, Simulation, and GNC Engineer, you'll develop high-fidelity models ... autonomous systems. You'll play a key role throughout the product lifecycle-from early concept ...

Remote, USA As a Modeling, Simulation, and GNC Engineer, you'll develop high-fidelity models ... autonomous systems. You'll play a key role throughout the product lifecycle--from early concept ...

Senior Systems Engineer

Madison, AL · On-site

$93K - $128K/yr

The Senior Systems Engineer will lead system architecture, requirements, and model-based systems ... autonomy, or other safety-critical systems. * Deep experience with Cameo Teamwork Cloud/CATIA No ...

New

Senior Systems Engineer

Madison, AL

$93K - $128K/yr

The Senior Systems Engineer will lead system architecture, requirements, and model-based systems ... autonomy, or other safety-critical systems. * Deep experience with Cameo Teamwork Cloud/CATIA No ...

New

Remote, USA As a Modeling, Simulation, and GNC Engineer, you'll develop high-fidelity models ... autonomous systems. You'll play a key role throughout the product lifecycle-from early concept ...

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Internship Autonomous Systems Engineer information

What is an internship autonomous systems engineer?

Internship Autonomous Systems Engineers are students or recent graduates who work temporarily with a company to gain hands-on experience in designing, developing, and testing autonomous systems, such as self-driving vehicles or robotics. Their responsibilities typically include assisting with software development, data analysis, simulation, and integration of sensors and control systems. This internship provides practical exposure to cutting-edge technologies and helps interns develop technical and problem-solving skills relevant to autonomous systems engineering.

What are the key skills and qualifications needed to thrive as an internship autonomous systems engineer?

To thrive as an Internship Autonomous Systems Engineer, you need a solid foundation in robotics, control systems, programming (often Python/C++), and a relevant engineering or computer science background. Familiarity with tools such as ROS (Robot Operating System), simulation platforms (like Gazebo), and version control systems (e.g., Git) is highly valued. Strong problem-solving abilities, teamwork, and clear communication help interns excel in collaborative, fast-paced engineering environments. These competencies are crucial for effectively contributing to the development and testing of autonomous technologies while learning from experienced professionals.

What types of projects and technologies can I expect to work with as an internship autonomous systems engineer?

As an Autonomous Systems Engineer intern, you will typically engage in hands-on projects involving robotics, sensor integration, computer vision, and machine learning algorithms. You may contribute to developing, testing, and optimizing autonomous navigation systems or simulation environments. Interns often collaborate closely with multidisciplinary teams of software, hardware, and systems engineers, gaining exposure to real-time problem-solving and rapid prototyping. This experience provides valuable insight into industry-standard tools and practices, setting a strong foundation for a career in autonomous systems.

What is the difference between Internship Autonomous Systems Engineer vs Internship Robotics Engineer?

AspectInternship Autonomous Systems EngineerInternship Robotics Engineer
CredentialsRelevant coursework, basic certifications in autonomous systems or roboticsSimilar credentials, often with focus on robotics or control systems
Work EnvironmentAutonomous vehicle labs, research centers, tech companiesRobotics labs, manufacturing facilities, research institutions
Industry UsageAutonomous vehicle development, aerospace, defenseManufacturing, service robots, research projects

Both roles involve working with cutting-edge technology, but the Internship Autonomous Systems Engineer focuses on autonomous vehicle and system integration, while the Internship Robotics Engineer emphasizes robot design and control systems. The choice depends on your specific interest in autonomous navigation versus robotic hardware development.

What are the most commonly searched types of Autonomous Systems Engineer jobs in Alabama?

The most popular types of Autonomous Systems Engineer jobs in Alabama are:

What are popular job titles related to Internship Autonomous Systems Engineer jobs in Alabama?

For Internship Autonomous Systems Engineer jobs in Alabama, the most frequently searched job titles are:

What job categories do people searching Internship Autonomous Systems Engineer jobs in Alabama look for?

The top searched job categories for Internship Autonomous Systems Engineer jobs in Alabama are:

What cities in Alabama are hiring for Internship Autonomous Systems Engineer jobs?

Cities in Alabama with the most Internship Autonomous Systems Engineer job openings:

Infographic showing various Internship Autonomous Systems Engineer job openings in Alabama as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 12% Part Time, 4% Contract, and 2% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Model-Based Systems Engineer with Security Clearance

Oxford Global Resources

Huntsville, AL • On-site

Other

Posted 2 days ago

New


Job description

Overview Our client, a leading defense technology organization, is seeking a Model-Based Systems Engineer (MBSE) to support enterprise-wide Digital Engineering initiatives. This individual will help drive the adoption of Agile-MBSE practices, support engineering teams in model development activities, and contribute to the advancement of model-based methodologies across multiple programs. This is an exciting opportunity to work with cutting-edge digital engineering technologies while collaborating with experienced systems engineers, architects, and program leadership on mission-critical defense systems. Key Responsibilities
- Apply MBSE methodologies, tools, and best practices to support complex systems engineering efforts.
- Develop, maintain, and analyze system models using industry-standard modeling languages and frameworks, including SysML, UML, and UAF.
- Support program teams in MBSE development activities throughout the systems engineering lifecycle.
- Collaborate with engineering leadership and project teams to enhance MBSE processes, standards, and best practices.
- Assist in the development of MBSE training materials and knowledge-sharing initiatives.
- Provide technical guidance related to model development, architecture, requirements, and systems analysis.
- Contribute to Digital Engineering transformation efforts utilizing virtualized and cloud-based engineering environments.
- Work closely with cross-functional engineering teams to improve model quality, consistency, and effectiveness. Required Qualifications
- Active Secret Security Clearance.
- Bachelor's degree in Engineering, Computer Science, Mathematics, Physics, or another STEM-related field with 8+ years of Systems Engineering experience; or Master's degree in a STEM-related field with 6+ years of Systems Engineering experience.
- Minimum 5 years of experience developing models and implementing MBSE methodologies, tools, and best practices.
- Experience with MagicDraw/Cameo and associated plugins.
- Proficiency with SysML, UML, and related modeling frameworks.
- Experience creating model queries, performing system analysis, and solving engineering challenges through model-based approaches.
- Strong written and verbal communication skills.
- Ability to collaborate effectively within multidisciplinary engineering teams.
- Experience contributing to MBSE process development, training, and implementation activities. Preferred Qualifications
- Experience with cloud technologies and platform services such as AWS or Azure.
- Experience developing large-scale system models, including parametric modeling and simulation execution.
- Familiarity with Agile development frameworks and task management tools such as Jira.
- Experience with Modeling, Simulation, Visualization, and Analysis (MSVA).
- Knowledge of Machine Learning (ML) and Artificial Intelligence (AI) technologies.
- Familiarity with Government Reference Architectures (GRAs) and autonomous systems.
- Experience supporting all phases of the systems engineering and product development lifecycle.
- Previous experience developing and delivering technical training.
- Experience creating engineering training materials and documentation.
- Electronic Warfare (EW) experience.

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About Oxford Global Resources

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Oxford Global Resources delivers tailored solutions for any technical challenges you face using our partnership-first approach. We specialize in workforce mobilization, digital transformation, and modern enterprise. We are committed to providing you with The Right Talent. Right Now. In 1984, we started Oxford with a handful of employees in a converted schoolhouse in Reading, Massachusetts. The people that shape our organization are some of the best in the industry. They are dedicated to making an impact and are with you every step of the way. We strive to meet the most pressing needs, solve the most complex problems, and go beyond expectations for our clients and our consultants. Together, we drive great outcomes. Whether you’d like to join the thousands of professionals who trust Oxford to advance their careers or partner with us to solve a challenge your business is facing, contact us at any of our 35 global offices.

Industry

Recruiting and staffing services

Company size

501 - 1,000 Employees

Headquarters location

Beverly, MA, US

Year founded

1984

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