1

Perception Algorithm Engineer Jobs in Newington, CT

Perception Algorithm Engineer information

See Newington, CT salary details

$59.2K

$111.1K

$202.1K

How much do perception algorithm engineer jobs pay per year?

As of Aug 1, 2026, the average yearly pay for perception algorithm engineer in Newington, CT is $111,132.00, according to ZipRecruiter salary data. Most workers in this role earn between $80,100.00 and $131,900.00 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 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 job categories do people searching Perception Algorithm Engineer jobs in Newington, CT look for? The top searched job categories for Perception Algorithm Engineer jobs in Newington, CT are:
Infographic showing various Perception Algorithm Engineer job openings in Newington, CT as of July 2026, with employment types broken down into 2% Locum Tenens, 70% Full Time, 24% Part Time, 2% Temporary, and 2% Contract. Highlights an 72% Physical, 3% Hybrid, and 25% Remote job distribution, with an average salary of $111,132 per year, or $53.4 per hour.

Autonomy Engineer (Lidar perception)

Dexory

Wallingford, CT • On-site

Other

Medical, Life, Retirement

Re-posted 23 days ago


Job description

At Dexory, we build, deploy, and operate autonomous robots that transform logistics and warehouse operations. In just six months, we went from the first CAD model to a deployed robot at a customer site in May 2023. Two years later, we've built and deployed over 150 robots, grown from a team of 10 to more than 250 people, and continue to scale at startup speed.

Our ambition now is to scale our robotics and autonomy stack to hundreds, soon thousands, of robots operating in dynamic, real-world environments. As a Robotics Engineer at Dexory, you'll help us make that possible: designing systems that can be deployed every two weeks to our global fleet, with zero manual customisation.

The challenge is immense: how do you build a scalable, reliable robotics core that powers a rapidly growing Robot-as-a-Service platform? If solving that at speed excites you, you'll feel right at home here. When you apply, provide a few sentences why you think you're the right person for this role.

*We value the right attitude, humility and we're as interested in your character as we are in your talent. Please apply, even if you feel you only meet part of our listed criteria. Diversity drives innovation and we offer an international and friendly work environment with an energetic company culture.

What does this role involve?
  • Developing and maintaining autonomy software for real-world robotic systems
  • Working with ROS 2, using modern C++ (17/20), and Python
  • Developing and maintaining our lidar odometry
  • Developing and maintaining our lidar-based SLAM approaches (we need a few)  
  • Collaborating with deployment teams to support complex field operations
  • Occasionally travel for hands-on deployment support
Requirements:
  • Solid understanding of LiDAR-based SLAM algorithms (e.g., Cartographer, LOAM, LIO-SAM, HDL Graph SLAM, etc.)
  • Experience with pose graph optimization, scan matching, and sensor fusion
  • Familiarity with Open3D or PCL for point cloud processing.
  • Understanding of state estimation frameworks (e.g., EKF, UKF, graph-based methods, or factor graphs).
  • Evidence of past work: open-source contributions, competition results, or deployed systems
  • Experience integrating 3D and 2D LiDARs (Ouster, Velodyne, Hesai, Livox, SICK, etc.).
  • Knowledge of calibration (LiDAR-IMU, LiDAR-camera, LiDAR-robot base).
  • Understanding of sensor synchronization, timestamp alignment, and coordinate transformations.
  • Ability to design and validate sensor placement for optimal coverage and robustness.
  • Solid experience with ROS 2, C++, and Python
  • Familiarity with Linux, Git, CI/CD, and containerisation
  • Willingness to travel for hands-on deployment (when needed)
  • Strong communication and collaboration skills
Strong Advantage If You Have
  • Expertise in design robotic software at scale 
  • Experience with Lidar-based segmentation, or other perception pipelines
  • Contributions to open-source robotics projects
  • Participation in competitions like RoboCup, Formula Student AI, or DARPA challenges
Benefits

Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles:

  • Performance: High standards, outstanding results,
  • Impact: Big challenges, bigger results
  • Commitment: All in, every time
  • One team: One mission, shared success

Joining our team and company isn't just about expertise; it's about embracing uncertainty with ambition. We're crafting world-changing solutions, fueled by a passion to redefine what's possible. We will look for you to help create and shape the future of logistics solutions through our products, our culture and our shared vision. 

You will also receive:

  • Private healthcare via Bupa with 24/7 medical helpline 
  • Life insurance
  • Income protection 
  • Pension: 4+% employee with option to opt into salary exchange, 5% employer
  • Employee Assistance Programme - mental wellbeing, financial and legal advice/support 
  • 25 holidays per year 
  • Full meals onsite in Wallingford
  • Fun team events on and offsite, snacks of all kinds in the office 
AAP/EEO Statement 

Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training

Please note: We are unable to provide sponsorship or relocation for this role.