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Autonomy Jobs in Florida (NOW HIRING)

MOBY Robotics

Autonomy & Software Engineer

Miami, FL · On-site

We are looking for an Autonomy & Software Engineer to own the intelligence layer of our AUV from flight controller integration and mission planning to sensor fusion and real-time decision-making.

SmartIPlace

Autonomous test specialist

Miami, FL · On-site

$45 - $50/hr

Create clear reports that help autonomy engineers quickly understand test outcomes, risks, and regressions. Qualifications Bachelor's degree in Engineering, Computer Science, Physics, or a related ...

Pairty

Autonomous Systems Apprentice

Miami, FL · On-site

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

TSMG

Autonomous vehicle Test Operator

Miami, FL

$17.50 - $21.50/hr

The Autonomous Vehicle Test Operator is responsible for operating and evaluating a self-driving vehicle in autonomous mode, including collecting data and providing feedback, and offering ride hail ...

TSMG

Autonomous vehicle Test Operator

Miami, FL

$17.50 - $21.50/hr

The Autonomous Vehicle Test Operator is responsible for operating and evaluating a self-driving vehicle in autonomous mode, including collecting data and providing feedback, and offering ride hail ...

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All JobsAutonomy JobsAutonomy Jobs in Florida

Autonomy information

See Florida salary details

$38.6K

$132.3K

$231.4K

How much do autonomy jobs pay per year?

As of Jun 8, 2026, the average yearly pay for autonomy in Florida is $132,320.00, according to ZipRecruiter salary data. Most workers in this role earn between $94,396.00 and $170,869.00 per year, depending on experience, location, and employer.

What are some of the common challenges faced by professionals working in the field of autonomy, such as autonomous systems engineering?

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 are the key skills and qualifications needed to thrive as an Autonomous Systems Engineer, and why are they important?

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 are autonomy engineers?

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.
What are popular job titles related to Autonomy jobs in Florida? For Autonomy jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Autonomy jobs in Florida look for? The top searched job categories for Autonomy jobs in Florida are:
What cities in Florida are hiring for Autonomy jobs? Cities in Florida with the most Autonomy job openings:
Autonomy jobs near you
Infographic showing various Autonomy job openings in Florida as of May 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution, with an average salary of $132,320 per year, or $63.6 per hour.

Autonomy & Software Engineer

MOBY Robotics

Miami, FL • On-site

Full-time

Posted 11 days ago

Job description

Job Description
We are looking for an Autonomy & Software Engineer to own the intelligence layer of our AUV from flight controller integration and mission planning to sensor fusion and real-time decision-making. This is a high-impact role at a fast-moving startup where you will shape the architecture of a system that operates in one of the most challenging environments on Earth. We are looking for an engineer with deep, hands-on expertise in autonomy and software, but with enough breadth across adjacent domains electronics, sensors, and field systems to work effectively across a small, cross-functional team.
RESPONSIBILTIES
Autonomy & Mission Planning
  • Design and implement the full autonomy stack for AUV mission execution, including behavior trees,
    state machines, and task sequencing
  • Develop and tune waypoint navigation, path planning, and dynamic obstacle avoidance algorithms
  • Own the integration of ArduSub / PX4 flight controller firmware with the high-level software stack

Sensor Integration & State Estimation
  • Integrate and fuse data from IMU, DVL, depth sensors, and acoustic positioning systems
  • Implement and maintain localization pipelines (EKF/UKF) for underwater navigation without GPS
  • Developing custom sensor fusion techniques and implementing state-of-the-art models for state estimation and localization

Software Architecture & Infrastructure
  • Build and maintain the ROS2-based software architecture across onboard compute platforms
  • Write clean, tested, well-documented C++ and Python code with a focus on reliability in embedded environments
  • Develop simulation environments in platforms like NVIDIA Isaac Sim.
  • Build, test and maintain firmware code (ROS2, Python, C++) for the AUV.
  • Set up and manage testing, version control practices, and software documentation

Cross-Functional & Field Work
  • Support field testing and offshore deployments (This is a hands-on role)
  • Collaborate closely with the Electrical Engineer on low-level firmware and hardware-software interfaces (CAN, UART, I2C, SPI)
  • Contribute to system-level architecture decisions as part of a small founding engineering team

Requirements
REQUIRED QUALIFICATIONS
  • 2-3 years of hands-on experience building autonomous robotic systems (full-time, internship, or substantial research/project work)
  • Solid understanding of core software development principles and practices
  • Strong knowledge of motion planning, obstacle avoidance and basic control systems
  • Experience in building autonomous robots with state of the art models and techniques Strong proficiency in Python and C++ in a robotics or embedded context Deep experience with ROS2 (nodes, topics, services, actions, custom message types) Demonstrated experience integrating and tuning flight controllers such as ArduSub, ArduPilot, or PX4
  • Working knowledge of state estimation and sensor fusion (IMU, DVL, barometer, or similar)
  • Comfortable with Linux environments, Git, and standard software engineering practices Ability to write reliable, maintainable code that runs on resource-constrained hardware

PREFERRED QUALIFICATIONS
  • Experience with underwater robotics (AUVs, ROVs) or marine/subsea systems
    Experience with NVIDIA Jetson, Raspberry Pi, Arduino or other microcontrollers
  • Familiarity with acoustic positioning systems (DVL, USBL, LBL) or underwater comms protocols
  • Simulation experience with Gazebo, Isaac Sim, or similar environments
  • Basic electronics skills, reading schematics, debugging hardware-software interface issues
  • Experience with computer vision, sonar image processing, or onboard ML inference
  • Exposure to systems like Blue Robotics hardware, Water Linked systems, or similar AUV platforms Background in competitive robotics (RoboSub, RobotX, etc.)

Benefits
  • Ownership of autonomy and software systems deployed in the field
  • Work on real robotic systems operating in extreme environments
  • Rapid iteration between simulation, hardware, and testing
  • Full-system scope across autonomy, controls, and embedded software
  • Small, highly technical team with close collaboration Competitive compensation

Apply