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Human Robot Interaction Jobs (NOW HIRING)

Apptronik

Senior Perception Learning Engineer

Sunnyvale, CA · On-site

$122K - $167K/yr

... human-robot interaction. Responsibilities : • Lead the design, development, and optimization of perception pipelines for humanoid robots, including object detection, tracking, segmentation, pose ...

Human Computer Lab

General Interest

San Francisco, CA · On-site

Our goal is to push the frontier of human-robot interaction by making technology more legible, emotionally intuitive, and human-centered. We are building the foundation for a new generation of robots ...

Amazon

Senior Applied Scientist

North Reading, MA · On-site

$95K - $130K/yr

... and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models. At Amazon we leverage ...

Amazon

Senior Applied Scientist

North Reading, MA

$95K - $130K/yr

... and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications of deep learning and large language models. At Amazon we leverage ...

Amazon

Principal UX Designer , Fauna

New York, NY

Our HRI (Human-Robot Interaction) team focuses on making robots feel like companions - a partner that listens, responds, and feels present. The team spans reasoning, perception, audio, and expressive ...

Amazon

Principal UX Designer , Fauna

New York, NY · On-site

Our HRI (Human-Robot Interaction) team focuses on making robots feel like companions - a partner that listens, responds, and feels present. The team spans reasoning, perception, audio, and expressive ...

Amazon

Senior Software Development Engineer

North Reading, MA · On-site

$127K - $168K/yr

... and human-robot interaction. This role presents an opportunity to shape the future of robotics through innovative applications the latest software and AI tools for robots. At Amazon we leverage ...

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How much do human robot interaction jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for human robot interaction in the United States is $21.09, according to ZipRecruiter salary data. Most workers in this role earn between $17.31 and $23.80 per hour, depending on experience, location, and employer.

What is human robot interaction?

A Human Robot Interaction (HRI) job focuses on designing, developing, and studying how humans and robots interact. Professionals in this field work on improving communication, safety, and efficiency in robotic systems used in industries like healthcare, manufacturing, and service robotics. They often have expertise in robotics, artificial intelligence, psychology, and user experience. Their goal is to create seamless and intuitive interactions between humans and machines, ensuring robots are easy to use and beneficial in real-world applications.

What are some typical challenges faced in human robot interaction?

Professionals in Human Robot Interaction often encounter challenges in designing systems that feel natural and intuitive for users with varying levels of technical expertise. Bridging communication gaps between multidisciplinary teams—such as robotics engineers, designers, psychologists, and end-users—requires both technical understanding and effective collaboration. Additionally, staying current with rapidly evolving robotics technologies and user-centered design best practices can be demanding but rewarding. Overcoming these challenges is vital for creating effective, safe, and user-friendly robotic systems in diverse real-world settings.

What are the key skills and qualifications needed to thrive in human robot interaction?

To thrive in Human Robot Interaction (HRI), you typically need a background in robotics, computer science, engineering, or psychology, complemented by experience in designing and evaluating interactive systems. Familiarity with programming languages (such as Python, C++), simulation tools (like ROS or Gazebo), and user experience research methodologies is often required. Strong problem-solving skills, creativity, communication, and the ability to work on interdisciplinary teams are essential soft skills. These qualifications enable professionals to effectively design, implement, and assess intuitive and safe interactions between humans and robots in real-world environments.

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Human Robot Interaction jobs near you
Infographic showing various Human Robot Interaction job openings in the United States as of September 2026, with employment types broken down into 1% Internship, 1% As Needed, 77% Full Time, 18% Part Time, and 3% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $43,864 per year, or $21.1 per hour.

Senior Perception Learning Engineer

Sunnyvale, CA • On-site

Apptronik
Industrial Automation Equipment Manufacturing • 11 - 50 employees
Learn more about Apptronikexternal

$122K - $167K/yr

Full-time

Re-posted 2 days ago

Job description

Job Summary:
Apptronik is a human-centered robotics company developing AI-powered robots to support humanity in every facet of life. As a Senior Perception Learning Engineer, you will lead the research and development of advanced perception systems for humanoid robots, focusing on integrating data from various sensors to enhance autonomy and human-robot interaction.
Responsibilities:
• Lead the design, development, and optimization of perception pipelines for humanoid robots, including object detection, tracking, segmentation, pose estimation, and scene understanding.
• Develop multi-sensor fusion frameworks that integrate cameras, LiDAR, depth sensors, and IMUs for robust real-time perception in dynamic human-centered environments.
• Architect and maintain scalable data pipelines, training infrastructure, and inference frameworks to accelerate model development, evaluation, and deployment.
• Drive research and deployment of deep learning models optimized for humanoid locomotion, manipulation, and human-robot interaction.
• Implement performance profiling, regression testing, and telemetry systems to ensure perception modules meet strict latency, accuracy, and reliability requirements on edge devices.
• Collaborate with planning, control, and hardware teams to define perception-to-action interfaces, ensuring real-time compatibility with locomotion and manipulation pipelines.
• Guide the integration of synthetic data (e.g., simulation frameworks like IsaacSim) with real-world datasets to enhance model generalization and robustness.
• Mentor junior engineers and contribute to best practices in code quality, model versioning, reproducibility, and deployment.
Qualifications:
Required:
• MS/PhD in Computer Science, Robotics, Computer Engineering, or related field.
• 3-5+ years of experience building and deploying perception systems for robotics, autonomous vehicles, or real-time vision applications.
• Strong background in deep learning for computer vision, with practical expertise in detection, segmentation, multi-object tracking, and 3D perception.
• Hands-on experience with modern AI frameworks (PyTorch, JAX, TensorFlow) and computer vision / multi-modal libraries such as OpenCV, Detectron2, YOLO, and foundation models for perception and language (e.g., SAM, CLIP, DINOv2, Flamingo)
• Proficiency in Python and modern C++, with strong software engineering fundamentals (version control, testing, CI/CD).
• Deep understanding of 3D geometry, camera models, and probabilistic estimation (EKF/UKF, SLAM, VIO).
• Experience deploying optimized models on edge hardware (GPU/NPU/embedded platforms) under compute, latency, and thermal constraints.
• Track record of shipping ML/Perception systems from R&D into production robotics platforms.
Preferred:
• Experience with humanoid robots, bipedal locomotion, and manipulation tasks.
• Strong classical computer vision skills (geometry-based methods, feature extraction) complementing deep learning approaches.
• Expertise in model acceleration, quantization, or compression (TensorRT, ONNX Runtime).
• Familiarity with real-time frameworks and middleware such as ROS 2, GStreamer, or zero-copy pipelines.
• Knowledge of synthetic data generation and domain adaptation techniques for training perception models.
• Contributions to open-source robotics or vision software stacks.
Company:
Apptronik is a robotics company that designs and builds humanoid robots for various real-world applications. Founded in 2016, the company is headquartered in Austin, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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