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Internship Autonomous Systems Engineer Jobs (NOW HIRING)

ASUS

Autonomous Systems Engineer

Boston, MA · Hybrid

$161K - $246K/yr

The ASUS Robotics & AI Center is seeking an Engineering Manager to lead our autonomous systems development team. This role combines technical leadership with hands-on engineering contributions ...

kgs

SME III Autonomous Systems Engineer

Arlington, VA · On-site

Koniag Management Solutions, LLC a Koniag Government Services company , is seeking a SME III Autonomous Systems Engineer with a TS/SCI security clearance to support KMS and our government customer at ...

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How much do internship autonomous systems engineer jobs pay per hour?

As of Jun 29, 2026, the average hourly pay for internship autonomous systems engineer in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

What are Internship Autonomous Systems Engineers?

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, and why are they important?

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 Autonomous Systems Engineer intern?

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.

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What cities are hiring for Internship Autonomous Systems Engineer jobs? Cities with the most Internship Autonomous Systems Engineer job openings:
What are the most commonly searched types of Autonomous Systems Engineer jobs? The most popular types of Autonomous Systems Engineer jobs are:
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Internship Autonomous Systems Engineer jobs near you
Infographic showing various Internship Autonomous Systems Engineer job openings in the United States as of June 2026, with employment types broken down into 64% Full Time, 18% Part Time, 7% Temporary, and 11% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Autonomous Systems Engineer

Autonomous Systems Engineer

Tata Technologies

Frederick, MD • On-site

Other

Posted 2 days ago

Job description

At Tata Technologies we make product development dreams a reality by designing, engineering, and validating the products of tomorrow for the world’s leading manufacturers. Due to our continued growth, we are now recruiting for a Job Title to strengthen our team in Location.


Job Title: Autonomous Systems Engineer

Location: Frederick, MD

Duration: Full Time


Role Summary

We are seeking a highly skilled Tech Lead with deep expertise in autonomous systems algorithm development and high-performance C++ implementation to lead the design, development, and deployment of advanced autonomy solutions for autonomous platforms. This role is strongly implementation-driven, requiring hands-on experience in C++ for real-time, safety-critical systems, combined with strong foundations in mathematics, estimation theory, control systems, and optimization.

.

Key Responsibilities:

  • Act as the technical authority for autonomy algorithm development in C++
  • Design and implement high-performance, real-time algorithms in C++ for perception, localization, sensor fusion, and control
  • Develop Kalman Filters, SLAM, and sensor fusion algorithms
  • Optimize algorithms for real-time embedded platforms
  • Drive motion planning algorithms (A*, RRT, optimization-based)
  • Perform algorithm validation using MIL, SIL, HIL
  • Define performance KPIs such as latency, accuracy, and robustness
  • Integrate algorithms into embedded and ROS-based systems
  • Mentor teams and conduct algorithm and code reviews


Mandatory Skills:

  • Strong foundation in linear algebra, probability, statistics, and optimization
  • Expertise in Kalman filtering, SLAM, and sensor fusion
  • Experience in real-time algorithm implementation (C++, Python)
  • Strong systems engineering and V&V experience


Core Skills – Autonomy Domain:

  • LiDAR perception and 3D mapping
  • Computer vision and deep learning
  • Sensor fusion (LiDAR, Camera, IMU, GNSS)
  • Path planning and control algorithms
  • ROS / ROS2 and simulation tools
  • Edge AI (NVIDIA Jetson platforms)


Qualifications

  • Bachelor’s or Master’s degree in Robotics, AI, or Engineering
  • 4+ years of experience in autonomous systems or robotics
  • Proven experience in deploying production-grade algorithms


Why Join Us

Opportunity to lead high-impact industrial engineering initiatives

Work in a dynamic, complex manufacturing environment

Drive measurable improvements without heavy capital investment

Be part of a culture focused on continuous improvement and innovation

Interested candidates, please apply or share your updated resume.


Equal Opportunity Statement

Tata Technologies Inc. is an Equal Opportunity/Affirmative Action employer. We provide equal employment opportunities to all qualified employees and applicants without regard to race, religion, sex, age, marital status, national origin, sexual orientation, citizenship status, veteran status, disability, or any other legally protected status. We prohibit discrimination in decisions concerning recruitment, hiring, compensation, benefits, training, termination, promotions, or any other condition of employment or career development.

Tata Technologies: Engineering a better world.

Tata Technologies would like to thank all applicants for their interest. Each application will be reviewed against the criteria for the role; however, only candidates under consideration will be contacted. If you do not hear from us within 10 working days following the closing date, it means your application has not been successful. We will, however, retain your details for future suitable opportunities.

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