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Autonomous Systems Jobs (NOW HIRING)

Integer

Autonomous Systems Engineer

Baton Rouge, LA · On-site

About the role Integer Technologies is seeking an Autonomous Systems Engineer to support the design, development, and deployment of advanced autonomy software for maritime robotic platforms. This ...

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 ...

Textron

Autonomous Systems Engineer

Augusta, GA · On-site

Integrate autonomous hardware and software with vehicle electrical, controls, and sensor systems. * Ensure the system performs reliably in real-world field conditions and support field testing and ...

Textron

Autonomous Systems Engineer

Augusta, GA · On-site

$157K/yr

Integrate autonomous hardware and software with vehicle electrical, controls, and sensor systems. * Ensure the system performs reliably in real-world field conditions and support field testing and ...

Textron

Autonomous Systems Engineer

Augusta, GA

$157K/yr

Integrate autonomous hardware and software with vehicle electrical, controls, and sensor systems. * Ensure the system performs reliably in real-world field conditions and support field testing and ...

Pairty

Autonomous Systems Apprentice

Miami, FL · On-site

Autonomous Systems Apprentice Pairty Remote About Pairty Pairty is building the Human Venture Capital Network a platform focused on AI agents, identity, automation, decentralized systems, and next ...

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Autonomous Systems information

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How much do autonomous systems jobs pay per year?

As of Aug 28, 2026, the average yearly pay for autonomous systems in the United States is $102,067.00, according to ZipRecruiter salary data. Most workers in this role earn between $77,000.00 and $125,000.00 per year, depending on experience, location, and employer.

What is an autonomous system?

An Autonomous Systems job involves designing, developing, and maintaining self-operating technologies, such as drones, self-driving cars, and robotic systems. Professionals in this field work on AI, machine learning, sensor fusion, and control systems to enable machines to make decisions and operate without human intervention. Roles may include software engineers, roboticists, and data scientists, often collaborating to improve system reliability and efficiency. These jobs are common in industries like defense, transportation, manufacturing, and healthcare.

What are the key skills and qualifications needed to thrive in an autonomous systems position?

To excel in an Autonomous Systems role, candidates typically need expertise in robotics, computer vision, control systems, and programming languages such as Python or C++, often supported by a degree in engineering, computer science, or a related field. Familiarity with tools like ROS (Robot Operating System), simulation platforms, and relevant certifications (e.g., in AI or machine learning) is highly valued. Strong problem-solving skills, adaptability, and effective teamwork enhance performance in this multidisciplinary environment. These abilities are essential for innovating, troubleshooting, and successfully deploying autonomous solutions in real-world settings.

What are some common challenges faced by professionals working in autonomous systems?

Professionals in Autonomous Systems often encounter challenges related to integrating complex hardware and software, ensuring system reliability in dynamic environments, and maintaining safety and compliance with industry standards. Debugging and testing autonomous solutions can be demanding due to unpredictable real-world variables and evolving technical requirements. Collaboration with cross-functional teams is crucial, as roles often involve coordinating with engineers, data scientists, and product managers. Successfully navigating these challenges helps drive innovation and ensures the successful deployment and operation of advanced autonomous technologies.

What career pathways exist in autonomous systems?

Career pathways in autonomous systems include roles such as autonomous systems engineer, robotics engineer, software developer, sensor integration specialist, and systems analyst. These positions often require skills in programming, control systems, machine learning, and experience with tools like ROS or MATLAB. Opportunities exist in industries like automotive, aerospace, defense, and research institutions.

What do autonomous systems engineers do?

Autonomous systems engineers design, develop, and test systems that enable machines or vehicles to operate independently, such as self-driving cars or drones. They work with robotics, sensors, control algorithms, and software integration, often using programming languages like C++ or Python and tools such as simulation environments. Their role involves ensuring safety, reliability, and efficiency of autonomous operations through rigorous testing and system optimization.
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Autonomous Systems jobs near you
Infographic showing various Autonomous Systems job openings in the United States as of August 2026, with employment types broken down into 86% Full Time, 9% Part Time, 4% Contract, and 1% Nights. Highlights an 86% Physical, 2% Hybrid, and 12% Remote job distribution, with an average salary of $102,067 per year, or $49.1 per hour.

Autonomous Systems Engineer

Tata Technologies

Frederick, MD • On-site

Other

Posted 17 days ago

Job description

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 KPls such as latency, accuracy, and robustness
  • Integrate algorithms into embedded and ROS-based systems
  • Mentor teams and conduct algorithm and code reviews

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