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Autonomy Jobs in Massachusetts (NOW HIRING)

About Us We are redefining the future of autonomous intelligence, building AI and autonomy solutions for unmanned systems in GPS-denied and contested environments. Our mission is to push the ...

MORSE is looking for an Autonomy Software Engineer to research, develop and prototype novel autonomy software to enable pre-mission planning and operation of novel aircraft and other autonomous ...

Autonomy Software Engineer

Cambridge, MA · On-site

$90K - $210K/yr

MORSE is looking for an Autonomy Software Engineer to research, develop and prototype novel autonomy software to enable pre-mission planning and operation of novel aircraft and other autonomous ...

$130K - $175K/yr

Develop software across the stack of an aircraft autonomy system, contributing to lower level embedded systems and higher level autonomy function areas as needed. * Implement and integrate algorithms ...

As an Autonomy Software Engineer in the SAAM group, you will work on autonomy development and mission systems integration, ensuring high performance in developing robust solutions for demanding ...

As an Autonomy Software Engineer in the SAAM group, you will develop and integrate systems for autonomy and mission systems while collaborating with high-performing teams to deliver robust solutions.

Senior Software Autonomy Engineer

Cambridge, MA · On-site

$135K - $177K/yr

They are seeking a highly skilled Senior Autonomy Engineer to design and develop autonomous behaviors for multi-domain heterogeneous teams of autonomous vehicles, working on cutting-edge defense ...

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Showing results 1-20

Autonomy information

See Massachusetts salary details

$52K

$178.2K

$311.6K

How much do autonomy jobs pay per year?

As of Aug 9, 2026, the average yearly pay for autonomy in Massachusetts is $178,196.00, according to ZipRecruiter salary data. Most workers in this role earn between $127,124.00 and $230,110.00 per year, depending on experience, location, and employer.

What are common challenges faced by professionals working in autonomy?

Professionals in the autonomy field often encounter challenges related to integrating complex hardware and software systems, ensuring safety and reliability, and keeping up with rapidly evolving technology. Collaborating across multidisciplinary teams—such as robotics, AI, and systems engineering—is essential to address these challenges effectively. Additionally, testing autonomous solutions in real-world environments to handle unpredictable scenarios is a critical part of the role, requiring strong problem-solving skills and adaptability.

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

To thrive as an Autonomous Systems Engineer, you need a solid background in robotics, computer science, and control systems, typically supported by a relevant engineering degree. Proficiency with programming languages (such as Python or C++), simulation tools (like ROS or Gazebo), and experience with AI or machine learning frameworks are commonly required. Strong problem-solving abilities, creativity, and effective teamwork set top performers apart in this role. These skills are crucial for designing, developing, and improving autonomous technologies that function reliably in complex, real-world environments.

What is the difference between Autonomy vs Project Manager?

AspectAutonomyProject Manager
Required credentialsTypically none; skills in decision-making and independenceProject management certifications (PMP, CAPM), relevant experience
Work environmentIndependent, self-directed roles, often in consulting or freelance workTeam-based, coordinating projects within organizations
Employer and industry usageUsed across various industries for roles emphasizing independenceCommon in construction, IT, marketing, and corporate sectors

Autonomy refers to the degree of independence in decision-making and work execution, often in roles that require self-direction. Project Managers focus on planning, executing, and closing projects within organizations, often working within structured teams. While Autonomy emphasizes independence, Project Managers operate within defined project scopes and organizational frameworks.

What is an autonomy engineer?

Autonomy engineers are professionals who design, develop, and maintain autonomous systems, such as self-driving vehicles, drones, or robotics. Their work focuses on enabling machines to perform tasks without constant human intervention by integrating sensors, control algorithms, and artificial intelligence. Autonomy engineers often collaborate with software developers, hardware engineers, and data scientists to ensure the safe and efficient operation of autonomous technologies. Their expertise is crucial in industries like automotive, aerospace, and robotics, where automation and intelligent systems are rapidly advancing.
Infographic showing various Autonomy job openings in Massachusetts as of August 2026, with employment types broken down into 75% Full Time, and 25% Part Time. Highlights an 75% In-person, and 25% Remote job distribution, with an average salary of $178,196 per year, or $85.7 per hour.

Autonomy Engineer

ICONSTAFF

Cambridge, MA

$150K - $200K/yr

Full-time

Re-posted 11 days ago


Job description

About Us

We are redefining the future of autonomous intelligence, building AI and autonomy solutions for unmanned systems in GPS-denied and contested environments. Our mission is to push the boundaries of what autonomous systems can achieve across defense and commercial applications like logistics and disaster response.


About the Role

As an Autonomy Engineer – Motion Planning & Controls, you will design, build, and validate motion planning and control systems for autonomous vehicles. You’ll collaborate with cross-functional teams on rapid prototyping and hardware/software co-development, driving concepts from idea to prototype.


Responsibilities

  • Design, implement, and maintain motion planning, trajectory optimization, and control software.
  • Integrate systems into real-world platforms.
  • Apply state-of-the-art research to practical implementations.


Requirements

  • Master’s or PhD in Engineering, Robotics, Computer Science, or related field (or equivalent experience).
  • Proficiency in C/C++ and production-grade software development.
  • Strong foundation in modern control systems (including MPC) and motion planning.
  • Experience with rotorcraft or fixed-wing flight dynamics and real robotics platforms.
  • Comfortable with multi-threaded real-time systems.


Nice to Have

  • Experience with learned motion planning, multi-agent systems, embedded platforms, microcontrollers, flight control systems, and optimization techniques.


Why Join

  • Work at the cutting edge of autonomy and AI.
  • Collaborative, high-trust culture with focus on innovation and learning.
  • Competitive salary, equity, and benefits.