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Robotics Perception Engineer Jobs (NOW HIRING)

The Role We are looking for a Robotics Perception Engineer to own the sensing and perception stack on our autonomous mobile robots. You will work across LiDAR, cameras, IMUs, and other sensor ...

Perception Engineer About Vatn Systems: Vatn Systems is an innovative startup at the forefront of ... What We're Looking For Required * 3-5 years of experience in robotics perception, computer vision ...

Perception Engineer About Vatn Systems: Vatn Systems is an innovative startup at the forefront of ... What We're Looking For Required * 3-5 years of experience in robotics perception, computer vision ...

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Robotics Perception Engineer information

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$29K

$105.6K

$169K

How much do robotics perception engineer jobs pay per year?

As of Sep 7, 2026, the average yearly pay for robotics perception engineer in the United States is $105,605.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,500.00 and $127,000.00 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.

More about Robotics Perception Engineer jobs

What cities are hiring for Robotics Perception Engineer jobs?

Cities with the most Robotics Perception Engineer job openings:

What states have the most Robotics Perception Engineer jobs?

States with the most job openings for Robotics Perception Engineer jobs include:

Infographic showing various Robotics Perception Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $105,605 per year, or $50.8 per hour.

Robotics Perception Engineer

AI Talent Now

Watertown, NY • On-site

$125 - $200/hr

Other

Posted 19 days ago


Job description

Job Description

Watertown, United States | Posted on 06/08/2026

AI Talent Now, LLC is a powerhouse in direct‑hire talent acquisition, connecting exceptional talent with industry‑leading organizations across IT, Engineering, Financial Services & Fintech, and Manufacturing & Robotics. Headquartered in Atlanta, Georgia, we proudly serve clients and candidates nationwide.

About this role

We are looking for a Robotics Perception Engineer with minimum 3+ years of experience to own and build the low‑level sensor pipeline that powers Tutor Intelligence's next‑generation VLA‑driven robots. You will work hands‑on with real robotic hardware (cameras, LiDARs, sensors, actuators) and ensure that data from a suite of six 30fps RGBD cameras and 3D LiDARs is processed accurately, efficiently, and reliably. You will take critical work directly off the lead engineer’s plate, owning the full pipeline from sensor input to application logic and data storage. If you have worked in autonomous vehicles, defense robotics, or any fast‑moving robotics environment and love building systems that cannot afford to fail, this role is for you.

Role Highlights
  • This company builds AI‑powered robotics for industrial automation, dropping robots into real factories and warehouses at 10× lower cost than legacy players.
  • Onsite in Watertown MA, own the full sensor pipeline (6 RGBD cameras + 3D LiDARs) end‑to‑end with compensation up to $200K plus competitive equity.
Company Overview

This company operates in the robotics space, focusing on hardware and software engineering. It is structured into verticals for specialized areas such as robotics and mechanical engineering.

Role Requirements (Robotics Perception Engineer)
  • Minimum 2–5 years of experience building software for real robotic or autonomous systems.
  • Hands‑on hardware integration across sensors, cameras, LiDARs, robot arms, grippers, or similar physical systems in Python or C++.
  • Has owned software integration with real robotic hardware end‑to‑end, including debugging across sensors, hardware, application logic, and production/runtime issues.
  • Experience at a sensor‑heavy robotics, autonomous vehicle, defense robotics, or field robotics company where reliability of real‑world perception/sensor pipelines mattered.
  • Proficient in C++ and/or Python for low‑level, performance‑critical systems code.
  • Hands‑on experience with RGBD cameras, LiDAR, point clouds, sensor calibration, SLAM, or multi‑sensor robotics perception pipelines.
  • Comfortable using AI coding tools productively and open to AI‑assisted engineering workflows.
  • Must be onsite 5 days/week in Watertown, MA — no remote option.
Compensation and Logistics
  • Role is onsite in Watertown, MA, five days a week.
  • Salary range is $125,000 to $200,000 with competitive equity options.
Timeline and Urgency
  • The interview process includes a take‑home challenge, a Zoom interview, and an onsite visit.
  • Immediate focus on hiring to allow team leads to delegate responsibilities and focus on other tasks.
Ideal Candidate Profile
  • Prefer candidates with startup experience who have exposure to both hardware and software integration.
  • Looking for generalists who can handle a range of tasks and have a keen interest in robotics.
Pain Points and Hiring Motivation
  • Current workload handled by team leads; new hires will alleviate pressure and allow focus on other projects.
  • Critical for maintaining system performance and application improvements.
  • Visa sponsorship is available; no relocation bonuses, but signing bonuses may be offered.
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