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Autonomous Systems Engineer Jobs in Baltimore, MD

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Autonomous Systems Engineer information

See Baltimore, MD salary details

$53.2K

$126.4K

$165.9K

How much do autonomous systems engineer jobs pay per year?

As of Jul 20, 2026, the average yearly pay for autonomous systems engineer in Baltimore, MD is $126,406.00, according to ZipRecruiter salary data. Most workers in this role earn between $97,400.00 and $156,000.00 per year, depending on experience, location, and employer.

What engineers make $300,000 a year?

Senior autonomous systems engineers, especially those with advanced expertise in robotics, machine learning, and control systems, can earn $300,000 or more annually. High compensation is often associated with experience, specialized skills, leadership roles, and working in industries like aerospace, defense, or autonomous vehicle development.

What does an Autonomous Systems Engineer do?

An Autonomous Systems Engineer designs, develops, and optimizes self-governing systems that operate with minimal human intervention. This includes robotics, self-driving vehicles, drones, and AI-driven automation. They work with sensors, machine learning, control systems, and software to ensure reliable decision-making and adaptability in dynamic environments. Their role often involves testing, simulation, and integration of hardware and software components to improve system efficiency and safety.

How much do autonomous systems engineers make?

Autonomous systems engineers typically earn a median annual salary between $90,000 and $130,000, depending on experience, education, and location. Senior engineers with specialized skills in robotics, machine learning, and sensor integration can earn higher salaries, often exceeding $150,000 annually.

What are the key skills and qualifications needed to thrive in the Autonomous Systems Engineer position, and why are they important?

To thrive as an Autonomous Systems Engineer, you need strong expertise in robotics, control systems, sensor integration, and proficiency in languages such as Python or C++, often supported by a relevant engineering degree. Familiarity with simulation tools like ROS (Robot Operating System), MATLAB/Simulink, and experience deploying algorithms on embedded hardware are typically required. Effective problem-solving, strong teamwork, and clear communication are standout soft skills in this field. These competencies are crucial for designing reliable autonomous solutions, troubleshooting complex issues, and collaborating across multidisciplinary teams for successful system deployment.

What are some common challenges faced by Autonomous Systems Engineers and how are they addressed?

Autonomous Systems Engineers often encounter challenges such as integrating diverse hardware and software components, achieving robust sensor fusion, and ensuring system reliability in unpredictable environments. Addressing these challenges typically involves rigorous simulation testing, iterative algorithm development, and close collaboration with cross-functional teams in software, hardware, and systems engineering. Engineers must also stay updated with advancements in machine learning and robotics to continually refine and enhance system capabilities. Employers support these efforts through ongoing training, collaborative problem-solving sessions, and investment in advanced prototyping resources.

What engineers make $500,000 a year?

Highly experienced autonomous systems engineers working in specialized fields such as aerospace, defense, or advanced robotics can earn salaries approaching or exceeding $500,000 annually, especially with seniority, advanced skills in AI and machine learning, and leadership roles. Compensation often includes bonuses, stock options, or other incentives in addition to base salary.

What do autonomous systems engineers do?

Autonomous systems engineers design, develop, and test systems that operate independently, such as self-driving vehicles or robotic automation. They work with sensors, algorithms, and control systems, often using programming languages like C++ or Python, and may require knowledge of machine learning, robotics, and embedded systems.
What are the most commonly searched types of Autonomous Systems Engineer jobs in Baltimore, MD? The most popular types of Autonomous Systems Engineer jobs in Baltimore, MD are:
What job categories do people searching Autonomous Systems Engineer jobs in Baltimore, MD look for? The top searched job categories for Autonomous Systems Engineer jobs in Baltimore, MD are:
Infographic showing various Autonomous Systems Engineer job openings in Baltimore, MD as of July 2026, with employment types broken down into 2% As Needed, 88% Full Time, 7% Part Time, 1% Temporary, and 2% Contract. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $126,406 per year, or $60.8 per hour.
Robotics Engineer for Tailored Autonomous Systems

Robotics Engineer for Tailored Autonomous Systems

The Johns Hopkins University Applied Physics Laboratory

Laurel, MD โ€ข On-site

Other

Medical, Dental, Vision, Life, Retirement, PTO

This job post hasย expired today.ย Applications are no longer accepted.


Job description

Description

Are you passionate about robotics, autonomous systems, and advanced mission capabilities?

Do you enjoy collaborating with multidisciplinary teams through the development, integration, and transition of complex autonomous systems?

Are you interested in shaping the future of robotics and autonomy for critical national security missions?

The Tailored Autonomous Systems Group (QPJ) is seeking a Robotics & Autonomous Systems Engineer to help us develop, implement and field mission-tailored autonomous systems that perform sensing, decision-making, and coordinated action in complex operational environments. Our work spans perception, autonomy algorithms, platform behaviors, modeling and simulation, full stack development, and software deployment on resource-constrained systems.

As a Robotics & Autonomous Systems Engineer, you will...

  • You will work closely with engineers, scientists, and program managers to develop mission-relevant autonomous systems for sponsors and end users in the defense and intelligence communities.
  • You will contribute to the architecture, design, implementation, integration, and test of autonomy systems spanning sensing, software, communications, and hardware.
  • You will develop and integrate capabilities including perception, planning, navigation, controls, AI/ML inference, and multi-agent autonomy on resource-constrained platforms.
  • You will participate in system architecture trades, requirements development, interface definition, and technical design reviews throughout the system lifecycle.
  • You will support verification, validation, and test activities, including simulation, hardware-in-the-loop (HWIL), laboratory integration, and field experimentation.
  • You will collaborate across mechanical, electrical, software, systems, and AI/ML disciplines to deliver integrated mission capabilities.
  • You will present technical work to project teams, leadership, and sponsors, while taking increasing ownership of technical tasks and project execution.
  • You will contribute to proposal development, internal research initiatives (IRAD), and technology transition efforts that expand the group's autonomy portfolio.

Qualifications

You meet our minimum qualifications for the job if you...

  • Hold a Bachelor's degree in Robotics, Mechanical Engineering, Electrical Engineering, Systems Engineering, Aerospace Engineering, Computer Science, Computer Engineering, or another related technical field.
  • Have at least 2 years of professional experience developing, integrating, testing, or fielding robotics, autonomous systems, embedded systems, or other complex engineering systems.
  • Have experience contributing to the design, development, integration, and test of hardware and/or software systems.
  • Have experience programming in one or more languages such as Python, C++, Rust, or similar.
  • Have strong written and verbal communication skills and enjoy working in multidisciplinary engineering teams.
  • Are able to obtain an Interim Top Secret security clearance by your start date and can ultimately obtain a Top Secret clearance. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information. Eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...

  • Hold a Master's degree in Robotics, Mechanical Engineering, Electrical Engineering, Systems Engineering, Computer Science, or a related technical discipline.
  • Have experience developing robotic platforms, autonomous systems, or embedded systems for operational environments.
  • Have experience with ROS/ROS2, Gazebo, Isaac Sim, Unreal Engine, AirSim, or similar robotics simulation environments.
  • Have experience with hardware-in-the-loop (HWIL) testing, digital twins, or simulation-based system development.
  • Have experience with AI/ML, perception, planning, controls, SLAM, navigation, or multi-agent autonomy.
  • Have experience with systems engineering, including requirements development, interface definition, system integration, verification, or technical trade studies.
  • Have experience leading small technical efforts or work packages, including coordinating technical tasks across multiple disciplines.
  • Have experience supporting proposal development or IRAD activities.
  • Have experience working directly with DoD, Intelligence Community, or other government sponsors.
  • Hold an active Top Secret security clearance.

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About Us

Why Work at APL?

The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.

At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities athttps://www.jhuapl.edu/careers.

All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law.APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contactAccessibility@jhuapl.edu.

The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.


Minimum Rate
$85,000 Annually
Maximum Rate
$195,000 Annually