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Robotics Perception Engineer Jobs in Hudson, FL (NOW HIRING)

Synnex

Physical AI Engineer

Clearwater, FL · On-site +1

... robotics, controls, and perception to close the sim-to-real gap. You will work hands-on with NVIDIA Omniverse, Isaac Sim, physics-based simulation, and foundation models. This is a builder role: fast ...

TD SYNNEX

Physical AI Engineer

Clearwater, FL · On-site

... robotics, controls, and perception to close the sim-to-real gap. You will work hands-on with NVIDIA Omniverse, Isaac Sim, physics-based simulation, and foundation models. This is a builder role: fast ...

All JobsRobotics Perception Engineer JobsRobotics Perception Engineer Jobs in Hudson, FL

Robotics Perception Engineer information

See Hudson, FL salary details

$22.7K

$82.5K

$132K

How much do robotics perception engineer jobs pay per year?

As of Aug 27, 2026, the average yearly pay for robotics perception engineer in Hudson, FL is $82,487.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,200.00 and $99,200.00 per year, depending on experience, location, and employer.

What is a robotics perception engineer?

Robotics Perception Engineers are professionals who specialize in enabling robots to interpret and understand their environment using sensors and data processing algorithms. They work on developing and implementing computer vision, sensor fusion, and machine learning techniques so that robots can perceive objects, people, and surroundings. Their work is crucial for applications such as autonomous vehicles, drones, industrial automation, and service robots. By improving a robot's ability to 'see' and make sense of the world, they help create safer and more effective robotic systems.

What are the key skills and qualifications needed to thrive as a robotics perception engineer?

To thrive as a Robotics Perception Engineer, you need strong expertise in computer vision, sensor fusion, machine learning, and proficiency in programming languages like C++ and Python, often supported by a degree in robotics, computer science, or a related field. Familiarity with tools and frameworks such as ROS (Robot Operating System), OpenCV, and deep learning libraries, as well as experience with sensors like LiDAR and cameras, is typically required. Excellent problem-solving abilities, teamwork, and adaptability help set standout professionals apart in this role. These competencies are crucial for enabling robots to accurately interpret and interact with their environment, leading to robust and reliable autonomous systems.

What are some common challenges faced by robotics perception engineers when integrating new sensors into autonomous systems?

Robotics Perception Engineers often encounter challenges such as sensor calibration, data synchronization, and managing varying data quality when integrating new sensors. Ensuring that sensor data is accurately aligned in time and space is crucial for reliable perception in autonomous systems. Additionally, engineers must address the complexities of fusing data from multiple modalities (like cameras, LiDAR, or radar) while optimizing processing efficiency. Close collaboration with hardware and software teams is essential to troubleshoot integration issues and achieve robust, real-time perception.

What is the difference between Robotics Perception Engineer vs Computer Vision Engineer?

AspectRobotics Perception EngineerComputer Vision Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or Electrical Engineering; experience with perception algorithmsBachelor's or Master's in Computer Science, Electrical Engineering, or related fields; strong programming skills in vision processing
Work EnvironmentRobotics labs, autonomous vehicle companies, industrial automationSoftware companies, tech startups, research labs focusing on image and video analysis
Industry UsageAutonomous vehicles, robotics, manufacturingHealthcare, security, consumer electronics, automotive

Robotics Perception Engineers focus on developing perception systems specifically for robots, integrating sensors and perception algorithms for navigation and interaction. Computer Vision Engineers primarily develop algorithms for interpreting visual data across various applications. While both roles require strong programming and understanding of perception, Robotics Perception Engineers specialize in sensor fusion and real-time processing within robotic systems, whereas Computer Vision Engineers work more broadly on image analysis and recognition tasks.

What are popular job titles related to Robotics Perception Engineer jobs in Hudson, FL?

For Robotics Perception Engineer jobs in Hudson, FL, the most frequently searched job titles are:

What cities near Hudson, FL are hiring for Robotics Perception Engineer jobs?

Cities near Hudson, FL with the most Robotics Perception Engineer job openings:

Robotics Perception Engineer jobs near you
Infographic showing various Robotics Perception Engineer job openings in Hudson, FL as of August 2026, with employment types broken down into 92% Full Time, 2% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $82,487 per year, or $39.7 per hour.

Lead Autonomy & Robotics Software Engineer

Marcurius

Clearwater, FL • On-site

Full-time

Posted 13 days ago

Job description

About Marcurius Multi-Mission Solutions

Marcurius Multi-Mission Solutions is a fast-growing defense technology company headquartered in the Tampa Bay area, Florida. Founded by U.S. and U.K. veterans, Marcurius brings decades of frontline experience across Special Operations and Intelligence missions, with deep expertise in asymmetric warfare and the real-world employment of unmanned systems.

Marcurius is building a new kind of unmanned systems company- multi-domain, multi-platform, and mission-driven. We integrate battle-proven platforms, resilient command-and-control architectures, and operator-led doctrine to deliver capabilities that work in contested environments. Our initial focus is the rapid fielding of advanced Unmanned Surface Vessels (USVs) for modern maritime operations.

Role Overview

As Lead Autonomy & Robotics Software Engineer, you will be responsible for the design, integration, and deployment of the software systems that enable autonomous vehicle operation.

You will work closely with the Chief Engineer, hardware and vehicle integration teams, and future software engineers to define software architecture, integrate sensors, develop autonomy capabilities, and deliver production-ready systems.

This role is intended for an engineer who has successfully deployed autonomous platforms into operational environments and understands the challenges of transitioning from simulation to fielded systems.

Key Responsibilities
  • Lead the architecture and technical direction of the autonomy software stack.
  • Design and implement robotics software using ROS 2 and related frameworks.
  • Lead integration of sensors, radar, cameras, IMUs, GPS, communications, and mission systems.
  • Develop and maintain autonomy capabilities including navigation, localization, perception, and mission execution.
  • Architect multi-sensor fusion solutions for operation in degraded and contested environments.
  • Design systems that continue operating safely when sensors or communications are impaired.
  • Develop operator interfaces and mission management software.
  • Support embedded and real-time software deployment on vehicle hardware.
  • Establish testing, validation, simulation, and CI/CD processes for robotics software.
  • Participate in field testing and troubleshooting of deployed systems.
  • Mentor software engineers and contribute to technical standards and engineering best practices.
Required Qualifications
  • Bachelor's degree in Computer Science, Robotics, Software Engineering, Electrical Engineering, or related discipline.
  • 5+ years of experience developing robotics, autonomy, or autonomous vehicle software.
  • Demonstrated experience deploying autonomous systems on operational hardware.
  • Strong proficiency in C++ and/or Python.
  • Deep experience with ROS 2 and modern robotics software architectures.
  • Experience with autonomy frameworks such as Nav2, Behavior Trees, SLAM Toolbox, or equivalent technologies.
  • Experience integrating multiple sensor modalities including LiDAR, radar, cameras, GPS, and IMUs.
  • Experience with sensor fusion, localization, and navigation systems.
  • Experience working with embedded and real-time systems.
  • Experience developing software verification, validation, and automated testing pipelines.
Preferred Experience 
  • Maritime autonomous systems experience.
  • Defense, military, or government robotics experience.
  • Experience with unmanned surface vessels (USV), UGVs, UAVs, or other autonomous platforms.
  • Experience with mission planning and command-and-control systems.
  • Familiarity with autonomy safety frameworks and reliability engineering.
  • Experience operating autonomous systems in contested or degraded environments.
  • Security clearance eligibility.
What Success Looks Like Within the first 12 months, you will:
  • Support the software architecture development for Marcurius autonomous platforms.
  • Deliver a field-capable autonomy software stack integrated with vehicle hardware.
  • Build robust sensor fusion and navigation capabilities.
  • Implement software testing and deployment processes suitable for operational systems.
  • Support successful vehicle integration and field testing activities.
Work Environment
  • Based onsite in Clearwater/Tampa Bay, Florida, working closely with vehicle integration, systems engineering, and hardware teams.
  • Hands-on involvement in system bring-up, hardware integration, sensor calibration, and field testing activities.
  • Regular participation in dockside testing, sea trials, and operational demonstrations of maritime autonomous systems.
  • Fast-paced engineering environment focused on rapid prototyping, iterative development, and continuous improvement.
  • Direct collaboration with Chief Engineer, Systems Engineers, Electrical Engineers, Mission Software Engineers, and Autonomy Specialists.
  • Opportunity to influence technical architecture and key engineering decisions from concept through deployment.
Why Marcurius

Marcurius is a people-first, execution-focused organization assembling a small, high-impact team of engineers and operators. This role offers the opportunity to design and field electrical systems that directly enable real-world maritime missions and help build the technical foundation of a next-generation unmanned systems company.