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Robotics Manipulation information

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How much do robotics manipulation jobs pay per year?

As of Jun 28, 2026, the average yearly pay for robotics manipulation in the United States is $96,000.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $102,000.00 per year, depending on experience, location, and employer.

What is robotics manipulation?

Robotics manipulation refers to the ability of robots to interact with and physically manipulate objects in their environment. This field involves designing robotic systems that can grasp, move, and control a variety of items using sensors, actuators, and advanced algorithms. Robotics manipulation is used in industries such as manufacturing, healthcare, and logistics, where robots handle tasks that require precision and adaptability. Researchers in this area focus on improving robot dexterity, perception, and autonomy to enable more complex and delicate operations.

What is the difference between Robotics Manipulation vs Robotics Software Engineer?

AspectRobotics ManipulationRobotics Software Engineer
Required CredentialsEngineering degree, robotics certificationsComputer science or software engineering degree
Work EnvironmentHands-on with robotic hardware, labs, manufacturingSoftware development, simulation, coding
Industry UsageManufacturing, automation, researchSoftware development for robotic systems
Common Search IntentRobotics manipulation skills, hardware focusRobotics programming, software tools

Robotics Manipulation involves working directly with robotic hardware to develop and improve physical interaction capabilities, often in manufacturing or research settings. Robotics Software Engineers focus on developing the software that controls robotic systems, including algorithms and simulations. While both roles require technical skills, Robotics Manipulation emphasizes hands-on hardware work, whereas Robotics Software Engineering centers on coding and software development for robotics applications.

What are the key skills and qualifications needed to thrive as a Robotics Manipulation Engineer, and why are they important?

To thrive as a Robotics Manipulation Engineer, you need expertise in robotics, mechanical engineering, and computer science, often supported by a relevant degree and experience in automation or robotics. Proficiency with programming languages like Python or C++, robotic operating systems (ROS), and simulation tools is typically required. Strong problem-solving, teamwork, and communication skills help you design, test, and refine complex robotic systems effectively. These skills are crucial for developing reliable, intelligent robots that can safely and efficiently interact with their environment.

What are some typical challenges faced by professionals working in robotics manipulation, and how can they be addressed?

Professionals in robotics manipulation often encounter challenges such as integrating complex hardware and software systems, handling uncertainty in object recognition and grasping, and ensuring robust performance in unstructured environments. Collaboration with multidisciplinary teams—including mechanical engineers, software developers, and AI specialists—is key to overcoming these challenges. Staying up to date with the latest research, leveraging simulation tools, and iterative prototyping can also help address common obstacles and drive innovation in this rapidly evolving field.
More about Robotics Manipulation jobs
What cities are hiring for Robotics Manipulation jobs? Cities with the most Robotics Manipulation job openings:
What states have the most Robotics Manipulation jobs? States with the most job openings for Robotics Manipulation jobs include:
What job categories do people searching Robotics Manipulation jobs look for? The top searched job categories for Robotics Manipulation jobs are:
Robotics Manipulation jobs near you

Deep Learning Manipulation Engineer

Skild AI

Pittsburgh, PA • On-site

$100K - $300K/yr

Full-time

Posted 7 days ago

Job description

Company Overview
At Skild AI, we are building the world's first general purpose robotic intelligence that is robust and adapts to unseen scenarios without failing. We believe massive scale through data-driven machine learning is the key to unlocking these capabilities for the widespread deployment of robots within society. Our team consists of individuals with varying levels of experience and backgrounds, from new graduates to domain experts. Relevant industry experience is important, but ultimately less so than your demonstrated abilities and attitude. We are looking for passionate individuals who are eager to explore uncharted waters and contribute to our innovative projects.
Position Overview
We are looking for a Deep Learning Engineer to develop and refine models for robotic manipulation. You will design, train, and deploy algorithms that enable robots to interact intelligently and adapt to their environments. Working closely with our machine learning, robotics, and research teams, you'll ensure these models are robust, efficient, and ready for real-world challenges. Your work will directly advance Skild AI's robotics capabilities, enabling robots to perform complex tasks autonomously.
Responsibilities
  • Design, implement, and optimize deep learning models for robotic manipulation.
  • Model robotic manipulation processes to enable analysis, simulation, planning, and controls
  • Collaborate with cross-functional teams to develop scalable and generalizable manipulation solutions for deployment in robotic systems.
  • Work with inference, deployment, and application teams to integrate deep learning models seamlessly into robotic platforms.
Preferred Qualifications
  • BS, MS, or higher degree in Computer Science, Robotics, Mechanical Engineering, or a related field, or equivalent practical experience.
  • Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
  • Proficiency with advanced deep learning techniques and architectures as well as reinforcement learning and or imitation learning.
  • Experience with distributed deep learning systems.

Base Salary Range
$100,000-$300,000 USD

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