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Swarm Robot Jobs (NOW HIRING)

BTAS

UAS Hardware Engineer

Dayton, OH · On-site

$115K - $151K/yr

Contribute to the development and evaluation of collaborative autonomous systems and swarm ... Experience: * 2-4 years of relevant engineering experience in UAS systems, robotics, embedded ...

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How much do swarm robot jobs pay per hour?

As of Aug 8, 2026, the average hourly pay for swarm robot in the United States is $36.88, according to ZipRecruiter salary data. Most workers in this role earn between $30.53 and $43.27 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a swarm robotics engineer, and why are they important?

To excel as a Swarm Robotics Engineer, you need a solid background in robotics, computer science, and algorithms, often supported by a relevant engineering degree. Experience with programming languages (such as Python, C++), robotics simulation tools (like ROS, Gazebo), and familiarity with multi-agent systems are crucial, along with certifications in robotics or AI being advantageous. Strong problem-solving, teamwork, and analytical thinking skills help you design and coordinate large-scale robot behaviors effectively. These competencies are essential for developing robust, scalable, and efficient swarm robotic systems that operate collaboratively in real-world environments.

What is a swarm robot?

Swarm robots are groups of simple, relatively inexpensive robots that work together to accomplish tasks by following decentralized, collaborative behaviors inspired by social insects like ants or bees. Each robot operates using basic rules and local information, but collectively they can perform complex tasks such as exploration, mapping, or object transportation. This approach enhances flexibility, scalability, and robustness, making swarm robots useful in applications where adaptability and fault tolerance are important. Swarm robotics is a growing field in robotics research and engineering, with potential uses in agriculture, environmental monitoring, and search-and-rescue operations.

What is the difference between Swarm Robot vs Robot Programmer?

AspectSwarm RobotRobot Programmer
CredentialsBasic robotics knowledge, programming skillsAdvanced programming certifications, robotics degrees
Work EnvironmentResearch labs, manufacturing, field testingSoftware development environments, offices, labs
Industry UsageSwarm robotics, automation, researchRobotics software development, automation systems
Search IntentUnderstanding swarm robotics applicationsLearning robot programming skills

Swarm Robots are physical devices used in automation and research, focusing on collective behavior. Robot Programmers develop software to control robots, including swarm systems. While both roles involve robotics, Swarm Robots are hardware-focused, whereas Robot Programmers specialize in coding and software development for robotic systems.

What are some common challenges faced when working on swarm robotics projects, and how can they be addressed?

Professionals working in swarm robotics often encounter challenges related to coordination, communication, and scalability. Ensuring reliable communication among a large number of robots can be complex, especially in dynamic environments. Additionally, developing algorithms that allow the swarm to adapt to new tasks or unexpected obstacles requires strong problem-solving skills. Collaborating closely with interdisciplinary teams—such as software engineers, hardware specialists, and researchers—can help address these challenges through regular testing, simulation, and iterative development.
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Swarm Robot jobs near you
Infographic showing various Swarm Robot job openings in the United States as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, 4% Contract, and 1% Nights. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $76,712 per year, or $36.9 per hour.

Senior Staff Engineer (Autonomy Behaviors (R4073) (Washington)

Shield AI

Washington, PA • On-site

$51.25 - $66.25/hr

Full-time

Medical, Retirement

This job post has expired today. Applications are no longer accepted.

Job description

  • Shield AI is committed to developing cutting-edge autonomy for unmanned aircraft operating across all Department of Defense (DoD) domains, including air, sea, and land
  • We aim to push the envelope by combining traditional autonomous systems algorithms with deep reinforcement learning-based solutions to deliver unmatched capability, agility, and speed in deploying advanced technologies that support national defense
  • Tactical Autonomy Design – Design tactical autonomy algorithms to enable unmanned aircraft to perform complex missions across air, land, and sea domains with minimal human supervision
  • High-Performance Software Development – Develop high-performance software modules that incorporate planning, decision-making, and behavior execution strategies for dynamic and adversarial environments
  • Behavior Architecture Implementation – Implement and test behavior architectures that enable multi-agent coordination, target engagement, reconnaissance, and survivability in contested scenarios
  • Hybrid Autonomy Integration – Work at the intersection of classical autonomy and machine learning, blending rule-based systems with learning-based methods such as reinforcement learning to achieve robust, adaptive behavior
  • Cross-Functional Collaboration – Collaborate with cross-functional teams including perception, planning, simulation, hardware, and flight test to ensure seamless integration of autonomy solutions on real-world platforms
  • Deployment & Field Testing – Deploy autonomy capabilities to real platforms and participate in field tests and flight demos, validating performance in operationally relevant conditions
  • Mission Data Analysis – Analyze mission logs and performance data to diagnose failures, optimize behavior models, and inform iterative development
  • R&D and Roadmapping – Contribute to the autonomy roadmap by researching and prototyping new algorithms, identifying tactical capability gaps, and proposing novel solutions that advance Shield AI’s mission
  • Program Support & Adaptation – Support defense-focused programs and customer needs by adapting autonomy solutions to evolving mission sets, compliance requirements, and operational feedback
  • Travel Requirement – Members of this team typically travel around 10-15% of the year (to different office locations, customer sites, and flight integration events)
  • These solutions are expected to be integrated into real-world problems with near-term program impacts and rewards
Benefits
  • Excellent Medical Coverage
  • Mental Health Employee Assistance Program
  • Paid Parental Leave
  • Pet Insurance
  • Flexible Work Hours
  • Onsite Gym (DC)
  • Gym Discount (San Diego)
  • Free Parking
  • Competitive Compensation
  • Stock Benefits
  • 401K Services and Match

This position is perfect for an individual who enjoys solving the most complex problems across a portfolio of diverse domains and modalitiesAn ideal candidate is expected to apply classical autonomous techniques, algorithms, and theory to various platforms in multiple tactical scenariosAbility to obtain a SECRET clearanceStrong problem-solving skills, with the ability to troubleshoot and optimize system performanceExperience with simulation tools and environments (e.g., AFSIM, NGTS) for testing and validationExcellent communication and teamwork skills, with the ability to work effectively in a collaborative, multidisciplinary environmentBS/MS in Computer Science, Electrical Engineering, Mechanical Engineering, Aerospace Engineering, and/or similar degree, or equivalent practical experienceTypically requires a minimum of 10 years of related experience with a Bachelor's degree; or 9 years and a Master's degree; or 7 years with a PhD; or equivalent work experienceSignificant experience with unmanned system technologies and accompanying algorithms (specifically air domain)Proficiency in programming languages such as C++ and Python, and familiarity with real-time operating systems (RTOS)Significant background in robotics technologies related to motion planning, behavior modeling, decision-making, or autonomous system designExperience with UCI and OMS StandardsWork on behaviors applicable across air, ground, and maritime vehiclesHands-on experience supporting flight demos or live exercisesFamiliarity with tactical behaviors for unmanned systems in DoD or government programsBackground in collaborative behaviors, swarm robotics, or distributed decision-makingExperience applying ML/RL techniques in autonomy pipelines

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