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Perception Algorithm Engineer Jobs in Florida (NOW HIRING)

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This role focuses on building and integrating perception, localization, and navigation capabilities ... Deploy and optimize algorithms on embedded systems (Jetson, GPU-enabled platforms) with focus on ...

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We develop innovative solutions that integrate information from vision-based algorithms, inertial ... perception, planning, and control for autonomous platforms operating in complex, GPS-degraded, and ...

C., and Hamburg, Germany, enables us to develop and supply integrated lidar hardware and perception ... Mapping algorithms to FPGA appropriate logic implementations * Expert integrating and bringing up ...

... perception solutions, with the goal of making mobility and autonomy safer. Our engineering ... Mapping algorithms to FPGA appropriate logic implementations * Expert integrating and bringing up ...

C., and Hamburg, Germany, enables us to develop and supply integrated lidar hardware and perception ... Mapping algorithms to FPGA appropriate logic implementations * Expert integrating and bringing up ...

... perception solutions, with the goal of making mobility and autonomy safer. Our engineering ... Mapping algorithms to FPGA appropriate logic implementations * Expert integrating and bringing up ...

C., and Hamburg, Germany, enables us to develop and supply integrated lidar hardware and perception ... Mapping algorithms to FPGA appropriate logic implementations * Expert integrating and bringing up ...

... perception solutions, with the goal of making mobility and autonomy safer. Our engineering ... Mapping algorithms to FPGA appropriate logic implementations * Expert integrating and bringing up ...

... perception, planning, and control for autonomous platforms operating in complex, GPS-degraded, and ... Perform simulation and validation of navigation algorithms using Python, C++, or Rust.

... perception, planning, and control for autonomous platforms operating in complex, GPS-degraded, and ... Perform simulation and validation of navigation algorithms using Python, C++, or Rust.

Sr Systems Test Engineer

Orlando, FL · Hybrid

$97K - $133K/yr

MicroVision is at the forefront of driving the global adoption of innovative perception solutions ... algorithms, and software teams.  The ideal candidate combines strong systems engineering ...

MicroVision is at the forefront of driving the global adoption of innovative perception solutions ... algorithms, and software teams. The ideal candidate combines strong systems engineering ...

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Perception Algorithm Engineer information

What are the key skills and qualifications needed to thrive as a Perception Algorithm Engineer, and why are they important?

To thrive as a Perception Algorithm Engineer, you need a strong background in computer vision, machine learning, and programming (typically C++ or Python), often supported by a degree in computer science, robotics, or a related field. Familiarity with tools like TensorFlow, PyTorch, OpenCV, and ROS, as well as experience with sensor data (e.g., LiDAR, cameras), is crucial. Strong analytical thinking, problem-solving abilities, and effective teamwork are standout soft skills for this role. These skills are vital to develop robust perception systems that enable autonomous vehicles and robots to interpret and interact safely with complex real-world environments.

What is a Perception Algorithm Engineer?

A Perception Algorithm Engineer is a professional who develops algorithms that enable machines—such as autonomous vehicles or robots—to interpret and understand sensory data from their environment. This typically involves processing data from cameras, lidar, radar, and other sensors to identify objects, track movement, and understand surroundings. Perception Algorithm Engineers work with computer vision, sensor fusion, and machine learning techniques to create reliable and efficient perception systems. Their work is crucial in making machines aware of their surroundings and enabling them to respond appropriately. They often collaborate with hardware, software, and robotics teams to integrate their algorithms into real-world applications.

What are some common challenges faced by Perception Algorithm Engineers when integrating their solutions into autonomous systems?

Perception Algorithm Engineers often encounter challenges when ensuring their algorithms perform reliably in diverse real-world environments, such as varying lighting, weather conditions, and sensor noise. Integrating algorithms with hardware requires close collaboration with robotics and systems engineering teams to optimize performance and latency. Additionally, balancing accuracy with computational efficiency is crucial, as perception modules must run in real time on embedded systems. Addressing these challenges involves rigorous testing, continuous model improvement, and effective cross-functional communication.
What are popular job titles related to Perception Algorithm Engineer jobs in Florida? For Perception Algorithm Engineer jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Perception Algorithm Engineer jobs in Florida look for? The top searched job categories for Perception Algorithm Engineer jobs in Florida are:
What cities in Florida are hiring for Perception Algorithm Engineer jobs? Cities in Florida with the most Perception Algorithm Engineer job openings:
Infographic showing various Perception Algorithm Engineer job openings in Florida as of July 2026, with employment types broken down into 25% Internship, and 75% Full Time. Highlights an 100% In-person job distribution.
Perception & Fusion Engineer

Perception & Fusion Engineer

Applied Intuition

Freeport, FL • On-site

Full-time

Posted 8 days ago


Job description

Job Summary:
Applied Intuition is a Silicon Valley company powering the future of physical AI, creating digital infrastructure for autonomous vehicles. The Perception & Fusion Engineer will develop and integrate real-time sensor software solutions for various autonomous platforms, focusing on sensor fusion algorithms and customer interaction.
Responsibilities:
• Develop, integrate, and adapt cutting-edge AI/ML algorithms running on the perception autonomy stack to collect relevant information across a suite of platform sensors
• Create interfacing software to autonomously control sensors (e.g., EO, IR, acoustics, radar, and RF)
• Collaborate across the sensor, tracking, and autonomy teams to ensure seamless deployment of heterogeneous platform swarms in on-site DoD testing and demonstration events
• Deploy containerized solutions to embedded Linux devices, leveraging computer-in-the-loop testing and profiling, and efficiently collecting performance data
• Interact with the DoD customer to understand their use cases, requirements, and triage needs during field events to deliver a superior customer experience
• Work closely with our existing team to internally triage technical problems and scope
• Carefully communicate and document ongoing work to ensure internal flexibility in a fast paced environment as well as clarify progress with external customers
• Drive execution of simulation tooling to playback sensors, platforms, and autonomy in post processing field test analysis
• Implement improvement plans for future integration efforts based on simulation analysis and customer feedback
Qualifications:
Required:
• MS or PhD in Electrical Engineering, Computer Engineering, Robotic Engineering, Computer Science, Optimization, or equivalent OR 5+ years of relevant experience working with sensor algorithms, hardware, and HIL software integration
• Experience with multiple sensor modalities (e.g., EO, IR, lidar, radar, sonar, acoustics, etc.)Core understanding of sensor physics and sensor control parameters
• Experience training and deploying ML algorithms (python, pytorch, tensorflow) onto integrated systems (onnx, C++ models)
• Experience with state of the art estimation, tracking, and fusion algorithms.
• Experience working comfortably in Linux and Docker
• Prior experience with remote software development, ability to handle and process large datasets, and learn new software and algorithms as needed with little supervision
• Must be willing to travel as projects requires, usually for SW/HW integration and/or demonstrations; estimated average travel is every 1-2 months for 2-5 days (10-20%)
• Must be a U.S. Citizen
• Must hold or be eligible to obtain and maintain a U.S. security clearance
Preferred:
• Proficiency with modern C++ development (2011, 2017, 2020, smart pointers, etc.), CMAKE, Python and Bash
• PhD in computer science or electrical engineering with AI/ML focus
• Experience with robotic swarm or multi-agent systems and optimization
• Strong tracking and sensor fusion background
• Current U.S. SECRET security clearance
Company:
Applied Intuition provides software infrastructure to safely develop, test, and deploy autonomous vehicles
 at scale. Founded in 2017, the company is headquartered in Mountain View, USA, with a team of 1001-5000 employees. The company is currently Late Stage.