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$45

How much do robot perception jobs pay per hour?

As of Jul 1, 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.
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Robot Perception jobs near you
Infographic showing various Robot Perception job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 99% Physical, and 1% Remote job distribution, with an average salary of $58,744 per year, or $28.2 per hour.

Staff AI Research Engineer, Perception

RoboForce

Milpitas, CA • On-site

Full-time

Medical, Dental, Vision, Retirement

Posted 19 days ago

Job description

Why RoboForce
RoboForce is an AI robotics company developing Physical AI-powered Robo-Labor for dull, dirty, and dangerous work. The company's robots are engineered for demanding industrial environments, with a focus on real-world deployment and scalability.
We are seeking a Staff AI Research Engineer, Perception to lead robot perception capabilities from research to real-world deployment. In this role, you will develop and ship production-grade perception models - spanning object detection, pose estimation, depth estimation, and scene understanding - directly onto RoboForce robotic platforms operating in demanding industrial environments.
Responsibilities
  • Develop and own state-of-the-art perception models for object detection, 6-DoF pose estimation, depth estimation, multi-object tracking, and multi-sensor fusion from research through to on-robot deployment.
  • Build and optimize full perception stacks end-to-end - from data preparation and model training to quantization, TensorRT conversion, and inference optimization on robot compute hardware.
  • Implement multi-task learning pipelines and distributed training workflows to maximize model efficiency and generalization across diverse industrial scenarios.
  • Profile and optimize deployed perception models for latency, throughput, and memory constraints on embedded robot hardware.
  • Collaborate with manipulation and foundation model teams to integrate perception outputs - object poses, depth maps, scene graphs - into downstream robot control policies.

Requirements
  • Master's degree in Machine Learning, AI, Robotics, or a related field with 4+ years of industry experience, or a PhD degree.
  • Expertise in modern computer vision architectures and perception techniques including detection, segmentation, pose estimation, and depth estimation.
  • Proven experience deploying perception models to production systems - including model optimization, quantization, and inference runtime engineering (e.g., TensorRT, ONNX Runtime).
  • Experience with deep learning frameworks such as PyTorch, JAX, or TensorFlow, and strong proficiency in Python and C++.
  • Strong understanding of linear algebra, projective geometry, probabilistic theory, and numerical optimization, with practical experience implementing these in real systems.
  • Requires 5 days/week in-office collaboration with the teams.

Bonus Qualifications
  • Experience deploying perception models on embedded or edge hardware (e.g., NVIDIA Jetson, Orin) in robotics or autonomous systems.
  • Familiarity with 3D perception techniques - point cloud processing, neural rendering, 3D reconstruction, or NeRF/Gaussian Splatting.
  • Proven ability to scale perception training across GPU clusters and design robust data pipelines for large-scale visual datasets.
  • Publication at top computer vision or robotics conferences (CVPR, ICCV, ECCV, ICRA, CoRL).

Benefits
  • Competitive stock options/equity programs.
  • Health, dental, and vision insurance, 401(k) plan.
  • Visa sponsorship and green card support for qualified candidates.
  • Lunches and dinners, a fully stocked kitchen, and regular team-building events.

Apply