1

Robot Perception Jobs (NOW HIRING)

Sr Engineer (Perception)

Shelton, CT ยท On-site

$104K - $143K/yr

Ranpak Corporation seeks a Sr. Perception Engineer, in Shelton, CT, to develop advanced software modules for robotic perception systems. Position requires a Bachelor of Science (or foreign equ) in ...

Staff Robot Learning Engineer

San Jose, CA ยท On-site

$150K - $218K/yr

Integrate and calibrate perception systems (e.g., cameras, LiDAR, tactile sensors) with robotic platforms to enable enhanced task-awareness. * Create simulation environments, deployable ...

Sr Engineer (Perception)

Shelton, CT ยท On-site

$104K - $143K/yr

Ranpak Corporation seeks a Sr. Perception Engineer, in Shelton, CT, to develop advanced software modules for robotic perception systems. Position requires a Bachelor of Science (or foreign equ) in ...

Sr Engineer (Perception)

Shelton, CT ยท On-site

$104K - $143K/yr

Ranpak Corporation seeks a Sr. Perception Engineer, in Shelton, CT, to develop advanced software modules for robotic perception systems. Position requires a Bachelor of Science (or foreign equ) in ...

Showing results 41-60

Robot Perception information

See salary details

$15

$28

$45

How much do robot perception jobs pay per hour?

As of Aug 11, 2026, the average hourly pay for robot perception in the United States is $28.24, according to ZipRecruiter salary data. Most workers in this role earn between $22.12 and $32.93 per hour, depending on experience, location, and employer.

What is robot perception?

Robot perception refers to the ability of robots to interpret and understand their environment using sensors and algorithms. This field involves processing data from cameras, lidar, radar, and other sensors to recognize objects, map surroundings, and make decisions. Effective robot perception is essential for tasks like navigation, object manipulation, and autonomous operation in dynamic environments. It combines elements of computer vision, machine learning, and sensor fusion to enable robots to function reliably and safely.

What are the key skills and qualifications needed to thrive in a robot perception role, and why are they important?

To excel in Robot Perception, you need a strong background in computer vision, machine learning, and sensor data processing, typically backed by a degree in computer science, robotics, or a related field. Familiarity with tools like ROS (Robot Operating System), OpenCV, PCL, and deep learning frameworks such as TensorFlow or PyTorch, as well as experience with LiDAR and camera systems, is highly valued. Creative problem-solving, adaptability, and effective teamwork are crucial soft skills for addressing complex perception challenges in dynamic environments. These competencies enable the development of robust perception systems, which are essential for safe and autonomous robotic operation.

What is the difference between Robot Perception vs Robot Software Engineer?

AspectRobot PerceptionRobot Software Engineer
Required CredentialsBachelor's or Master's in Robotics, Computer Science, or related fields; knowledge of perception algorithmsBachelor's or Master's in Software Engineering, Computer Science; programming skills in C++, Python
Work EnvironmentResearch labs, robotics companies, industrial settings focusing on sensor data processingSoftware development teams, robotics companies, embedded systems environments
Industry UsageUsed in autonomous vehicles, service robots, industrial automation for sensor data interpretationDevelops robot control software, integrates perception modules, and ensures system functionality

Robot Perception specialists focus on processing sensor data to enable robots to understand their environment, while Robot Software Engineers develop the software systems that control robot functions, including perception modules. Both roles often collaborate but have distinct focuses within robotics development.

What are some common challenges faced by professionals in robot perception roles, and how can they be addressed?

Professionals in Robot Perception roles often encounter challenges such as dealing with noisy sensor data, ensuring real-time processing, and integrating data from multiple sources to create an accurate understanding of the environment. Addressing these requires strong skills in sensor fusion, robust algorithm design, and close collaboration with robotics engineers and software developers. Continuous learning and staying updated with advancements in machine learning and computer vision are also key to overcoming these challenges and contributing effectively to the team's goals.
More about Robot Perception jobs
What cities are hiring for Robot Perception jobs? Cities with the most Robot Perception job openings:
What states have the most Robot Perception jobs? States with the most job openings for Robot Perception jobs include:
Infographic showing various Robot Perception job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 81% Full Time, 17% Part Time, and 1% Nights. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $58,744 per year, or $28.2 per hour.

Robotic Software Engineer (Senior, Staff or Lead) (Perception)

Ghost Robotics Corporation

Philadelphia, PA โ€ข On-site

$140K - $185K/yr

Full-time

Re-posted yesterday


Job description

Description:

About the role We're a robotics company building autonomous systems that operate in complex, dynamic environments. Our perception stack lets our robots understand, localize, and navigate the world in real time, and we care as much about robust, maintainable engineering as we do about raw algorithm performance.


We're hiring a Perception Engineer to design and build the SLAM, state estimation, and computer vision our robots rely on in the field. You'll take perception algorithms from research to reliable, production-ready software, working alongside our robotics, controls, and systems engineers.


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


How leveling works This is one role, open at the Senior, Staff, or Lead level. The responsibilities below reflect the core of the role at every level. You don't need to decide which level fits you before applying. The selected candidate will be placed at the level commensurate with the skills, scope, and experience they demonstrate through the interview process, and the offer will align with that level. Senior and Staff are individual-contributor positions. Lead carries the same technical scope plus people-leadership responsibilities, for candidates who want them.


What you'll do (all levels)

  • Design and implement SLAM and localization systems (visual, visual-inertial, lidar, or multi-sensor)
  • Develop and integrate computer vision pipelines for feature extraction, tracking, mapping, and scene understanding
  • Implement and optimize estimation algorithms (filtering and optimization-based methods)
  • Fuse data from cameras, IMUs, lidars, and depth sensors
  • Evaluate perception 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

Senior Perception Engineer

  • Owns a defined technical area of the perception stack and delivers independently end to end
  • Mentors less-experienced engineers
  • Track record of shipping perception software to real systems

Staff Perception Engineer

  • Drives technical direction and architecture across the team's area
  • Sets engineering standards and multiplies the output of others
  • Demonstrated influence beyond their own deliverables, across teams or an entire perception stack

Lead Perception Engineer

  • Staff-level technical scope plus people-leadership responsibilities: direct reports, hiring, performance, and team planning
  • Demonstrated ability to grow engineers and run a healthy, productive team
Requirements:

Required qualifications (all levels)

  • Master’s degree in Robotics, Computer Science, Electrical Engineering, or a related field, plus 2+ years of relevant work experience; OR a PhD in a related field.
  • A strong background in robotics perception or computer vision, with hands-on experience implementing SLAM or localization in real systems. We weigh what you've built and shipped over where your degree is from. An advanced degree in Robotics, CS, EE, or a related field is one path in. Equivalent industry experience is another, and just as welcome.
  • Solid understanding of 3D geometry and coordinate transformations, camera models and calibration, feature-based and/or direct visual methods, and probabilistic state estimation
  • Proficiency in C++ and/or Python
  • Experience working in Linux environments
  • Familiarity with robotics software stacks such as ROS / ROS 2
  • Strong debugging and data analysis skills

Preferred qualifications

  • Experience with SLAM frameworks such as ORB-SLAM, VINS, Cartographer, or GTSAM
  • Lidar-based perception and mapping
  • Familiarity with deep learning perception models
  • Experience deploying perception systems on real robots
  • GPU acceleration (CUDA, OpenCL)
  • Dataset curation and annotation
  • A graduate degree, or publications and research in robotics or computer vision

What we offer

  • Work on cutting-edge robotics perception problems with real-world constraints
  • The opportunity to own and evolve core autonomy components
  • A collaborative, engineering-driven team culture
  • Access to real robots, real data, and real impact
  • The anticipated starting base salary for this position is $140,000 to $185,000 per year, placed by level as described above

Location

Philadelphia, PA. This is a full-time, on-site role. No remote candidates will be considered at this time.


Travel

None required, though domestic and international opportunities exist for engineers who want field exposure.


Compensation

Competitive base salary, full benefits, and a highly motivating equity incentive package. Flexible time off policy. We focus on output, impact, and the ability to work alongside a stellar interdisciplinary team.


Additional Information

Clear standard background checks are required pre-hire, post-hire, and at any time during employment. Permanent U.S. residency is required.