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Robotics Perception Engineer Jobs in Boonton, NJ

Amazon

Principal UX Designer , Fauna

New York, NY · On-site

You will shape the robot's interaction vocabulary alongside researchers, scientists, and engineers ... The team spans reasoning, perception, audio, and expressive robotics. Your work defines the ...

Amazon

Principal UX Designer , Fauna

New York, NY

You will shape the robot's interaction vocabulary alongside researchers, scientists, and engineers ... The team spans reasoning, perception, audio, and expressive robotics. Your work defines the ...

Amazon

Principal UX Designer , Fauna

New York, NY · On-site

You will shape the robot's interaction vocabulary alongside researchers, scientists, and engineers ... The team spans reasoning, perception, audio, and expressive robotics. Your work defines the ...

Turner Construction

Innovation Engineer - HQ

New York, NY · On-site

$92K - $123K/yr

... machine learning, robotics) and maintain knowledge of current trends and related industry ... perception, and the ability to adjust focus. The employee is occasionally required to be mobile ...

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All JobsRobotics Perception Engineer JobsRobotics Perception Engineer Jobs in Boonton, NJ

Robotics Perception Engineer information

See Boonton, NJ salary details

$30K

$109.1K

$174.6K

How much do robotics perception engineer jobs pay per year?

As of Aug 8, 2026, the average yearly pay for robotics perception engineer in Boonton, NJ is $109,082.00, according to ZipRecruiter salary data. Most workers in this role earn between $86,200.00 and $131,200.00 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 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 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 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 cities near Boonton, NJ are hiring for Robotics Perception Engineer jobs? Cities near Boonton, NJ with the most Robotics Perception Engineer job openings:
Robotics Perception Engineer jobs near you
Infographic showing various Robotics Perception Engineer job openings in Boonton, NJ as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $109,082 per year, or $52.4 per hour.

Senior Software Engineer, Localization (Calibration)

AeroVect

Manhattan, NY • On-site

$134K - $177K/yr

Full-time

Re-posted 23 days ago

Job description

Job Summary:
AeroVect is transforming ground handling with autonomy, redefining how airlines and ground service providers around the globe run day-to-day operations. They are seeking a Senior Software Engineer to join the Localization team and take ownership of calibration systems, contributing to broader localization, mapping, and sensor integration efforts.
Responsibilities:
• Own the calibration stack end-to-end — improve reliability of existing offline calibrations, close coverage gaps across the sensor suite (LiDAR, IMU, GNSS, cameras, radar), and ensure every calibration is repeatable, traceable, and has clear pass/fail criteria
• Design and build an online calibration validation system that monitors cross-sensor consistency during live missions, detects drift, and integrates with the vehicle's safety architecture
• Contribute to the localization and mapping pipeline — sensor integration, performance tuning, regression testing, and deployment to new operating environments
• Develop tooling for calibration health logging, diagnostics, and post-mission analysis
• Deploy, test, and iterate using data from real autonomous operations at active airports
Qualifications:
Required:
• 5+ years of experience in robotics or autonomous vehicles with hands-on work in sensor calibration, localization, or state estimation
• Strong practical knowledge of multi-sensor calibration - intrinsic, extrinsic, and temporal - across LiDARs, IMUs, GNSS, and cameras
• Proven experience with non-linear optimization frameworks (Ceres, GTSAM, g2o) or filtering approaches (EKF, UKF)
• Strong C++ skills (C++17+) and working experience with Linux and ROS/ROS2
• Understanding of how calibration quality propagates through localization and perception
• BS or MS in Computer Science, Robotics, Electrical/Mechanical Engineering, or related field
Preferred:
• MS or PhD with a focus on calibration, localization, or state estimation
• Experience building online/runtime calibration monitoring for deployed autonomous systems
• Experience with factor graphs, graph-based SLAM, or open-source tools like Kalibr, LIO-SAM, GLIM, Ceres, GTSAM
• Track record of deploying calibration or localization systems on real hardware in production environments
• Experience defining safety-relevant thresholds and working with safety monitoring architectures
• Familiarity with OpenCV, PCL, or Open3D
Company:
AeroVect develops airport automation systems that use embodied AI to manage baggage and cargo logistics on the airfield. Founded in 2020, the company is headquartered in San Francisco, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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