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Perception Algorithm Engineer information

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$58K

$108.9K

$198K

How much do perception algorithm engineer jobs pay per year?

As of May 31, 2026, the average yearly pay for perception algorithm engineer in Claymont, DE is $108,904.00, according to ZipRecruiter salary data. Most workers in this role earn between $78,500.00 and $129,300.00 per year, depending on experience, location, and employer.

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 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 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 popular job titles related to Perception Algorithm Engineer jobs in Claymont, DE? For Perception Algorithm Engineer jobs in Claymont, DE, the most frequently searched job titles are:
Perception Algorithm Engineer jobs near you
Infographic showing various Perception Algorithm Engineer job openings in Claymont, DE as of May 2026, with employment types broken down into 89% Full Time, 10% Part Time, and 1% Temporary. Highlights an 95% Physical, and 5% Remote job distribution, with an average salary of $108,904 per year, or $52.4 per hour.
Robotic Software Engineer (Perception)

Robotic Software Engineer (Perception)

Ghost Robotics Corporation

Philadelphia, PA • On-site

Full-time

Posted 22 days ago

Job description

Description:

We are a robotics company building autonomous systems that operate in complex, dynamic environments. Our perception stack enables our robots to understand, localize, and navigate the world in real time, and we place a strong emphasis on robustness, performance, and maintainable engineering.


We are seeking a Perception Engineer to design and implement SLAM, state estimation, and computer vision algorithms for real-world robotic systems. You will work closely with robotics, controls, and systems engineers to bring perception algorithms from research into reliable, production-ready software.


This role is ideal for someone who enjoys bridging the gap between theory and deployment—turning academic algorithms into efficient, well-engineered systems.


Responsibilities


  • Design and implement SLAM and localization systems (visual, visual-inertial, lidar, or multi-sensor)
  • Develop and integrate computer vision pipelines for perception tasks such as feature extraction, tracking, mapping, and scene understanding
  • Implement and optimize estimation algorithms (e.g., filtering, optimization-based methods)
  • Fuse data from multiple sensors (cameras, IMUs, lidars, depth sensors)
  • Evaluate perception system performance using real-world data and metrics
  • Optimize algorithms for real-time performance and robustness
  • Collaborate with controls and planning teams to support downstream autonomy
  • Maintain clean, well-tested, production-quality code
  • Contribute to tooling, datasets, and evaluation frameworks
Requirements:

Required Qualifications


  • Strong background in robotics perception or computer vision
  • Experience implementing SLAM or localization systems in practice
  • Solid understanding of:
  • 3D geometry and coordinate transformations
  • Camera models and calibration
  • Feature-based and/or direct visual methods
  • Probabilistic state estimation
  • Proficiency in C++ and/or Python
  • Experience working in Linux environments
  • Familiarity with robotics software stacks (e.g., ROS / ROS 2)
  • Strong debugging and data analysis skills


Preferred Qualifications


  • Experience with specific SLAM frameworks (e.g., ORB-SLAM, VINS, Cartographer, GTSAM)
  • Experience with lidar-based perception and mapping
  • Familiarity with deep learning–based perception models
  • Experience deploying perception systems on real robots
  • Knowledge of GPU acceleration (CUDA, OpenCL)
  • Experience with dataset curation and annotation
  • Publications or research background in robotics or computer vision

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