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Computer Science Robotics Jobs (NOW HIRING)

Skild AI

Robotics Engineer, Manipulation

San Mateo, CA · On-site

$100K - $300K/yr

Preferred Qualifications * BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience. * Experience in designing robotic manipulation ...

Advanced Robotics Group, LLC

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Autonomous Robotics Software Engineer

Raleigh, NC · On-site

... in Computer Science, Robotics, or related field · Proven experience in robotics software development with successful project delivery · Strong software engineering fundamentals (architecture ...

Advanced Robotics Group, LLC

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Autonomous Robotics Software Engineer

Houston, TX · On-site

... in Computer Science, Robotics, or related field · Proven experience in robotics software development with successful project delivery · Strong software engineering fundamentals (architecture ...

Advanced Robotics Group, LLC

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Autonomous Robotics Software Engineer

Los Angeles, CA · On-site

... in Computer Science, Robotics, or related field · Proven experience in robotics software development with successful project delivery · Strong software engineering fundamentals (architecture ...

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Computer Science Robotics information

What is computer science robotics?

Computer science robotics is a field that combines computer science principles with robotics engineering to design, program, and control robots. Professionals in this field work on creating software and algorithms that allow robots to perceive their environment, make decisions, and perform tasks autonomously. The field covers areas such as artificial intelligence, machine learning, computer vision, and sensor integration. Careers in computer science robotics are found in industries like manufacturing, healthcare, space exploration, and consumer electronics. This interdisciplinary field requires knowledge of both programming and hardware systems.

What are some common challenges faced by professionals working in computer science robotics, and how can they be addressed?

Professionals in computer science robotics often encounter challenges such as integrating software with complex hardware systems, ensuring reliable sensor data processing, and managing real-time system constraints. Collaborating effectively with multidisciplinary teams—including mechanical, electrical, and software engineers—is crucial to overcoming these obstacles. Staying current with rapidly evolving technologies and maintaining a strong foundation in both programming and robotics principles can help address these challenges. Participating in regular code reviews and system testing also contributes to smoother project development and deployment.

What are the key skills and qualifications needed to thrive as a computer science robotics professional, and why are they important?

To thrive in Computer Science Robotics, you need a strong background in programming languages (such as Python, C++, or ROS), algorithms, and robotics engineering, typically backed by a degree in computer science, robotics, or a related field. Familiarity with robotics platforms, simulation software, machine learning frameworks, and certifications like ROS or robotics-specific courses are highly valuable. Critical thinking, problem-solving, teamwork, and effective communication are essential soft skills for tackling complex challenges and collaborating on interdisciplinary projects. These skills and qualifications ensure the development, deployment, and continual improvement of advanced robotic systems in real-world environments.

What is the difference between Computer Science Robotics vs Mechanical Engineering?

AspectComputer Science RoboticsMechanical Engineering
Required CredentialsBachelor's or Master's in Computer Science, Robotics, or related fieldsBachelor's or Master's in Mechanical Engineering or related fields
Work EnvironmentSoftware development labs, robotics programming environmentsDesign and testing labs, manufacturing facilities
Employer & Industry UsageTech companies, research institutions, automation firmsManufacturing, automotive, aerospace industries
Common Search & Comparison IntentUnderstanding roles involving programming and software in roboticsUnderstanding hardware design and mechanical systems in robotics

Computer Science Robotics focuses on programming, algorithms, and software development for robotic systems, while Mechanical Engineering emphasizes designing, building, and testing the physical components of robots. Both fields often collaborate but serve different core functions within robotics development.

Can computer science work in robotics?

Yes, computer science is fundamental to robotics, as it involves programming, algorithms, and data processing to develop autonomous systems and control mechanisms. Skills in software development, machine learning, and robotics frameworks like ROS are commonly used in this field.

Is computer science robotics a high paying field?

Computer science robotics is generally a high-paying field, especially for roles such as robotics engineers and software developers with specialized skills in AI, machine learning, and automation. Salaries tend to increase with experience, advanced degrees, and expertise in tools like ROS or Python, making it a lucrative career option in technology industries.

What are four careers in computer science robotics?

Four careers in computer science robotics include robotics engineer, automation engineer, research scientist in robotics, and embedded systems developer. These roles typically require knowledge of programming languages like C++ or Python, and familiarity with robotics frameworks such as ROS. They involve designing, developing, and testing robotic systems across various industries.
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What states have the most Computer Science Robotics jobs?

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What job categories do people searching Computer Science Robotics jobs look for?

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Computer Science Robotics jobs near you
Infographic showing various Computer Science Robotics job openings in the United States as of August 2026, with employment types broken down into 67% Full Time, and 33% Part Time. Highlights an 100% In-person job distribution.

Robotics Engineer, Manipulation

Skild AI

San Mateo, CA • On-site

$100K - $300K/yr

Other

Re-posted 10 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 seeking a versatile Robotics Engineer to develop and implement software solutions for our manipulation systems. The ideal candidate will have experience in controls, perception, and planning. You will be working on deploying state-of-the-art learning-based algorithms on real robot setups, focused on daily manipulation tasks. This role will require close collaboration with researchers and the ML team. The ideal candidate should be comfortable with building high-quality software for robotic manipulation and deploying it on robot hardware.
Responsibilities
  • Help design algorithms, models, and techniques for various robotic manipulation tasks.
  • Design hardware and software systems for various robotic manipulation tasks.
  • Write controllers and perception stacks for real-world robotic deployment.
  • Write and maintain production-level C++ and Python code for our robotic manipulation platforms.
  • Collaborate with machine learning engineers to deploy state-of-the-art models on our robots.
  • Continuously improve and optimize robotic software for performance, reliability, and scalability.
Preferred Qualifications
  • BS, MS or higher degree in Computer Science, Robotics, Engineering or a related field, or equivalent practical experience.
  • Experience in designing robotic manipulation systems and deploying software on real robots.
  • Experience with writing controllers and knowledge of robotics (e.g., kinematics, dynamics, control, motion planning, SLAM).
  • Proficiency in Python and at least one deep learning library such as PyTorch, TensorFlow, JAX, etc.
  • Systems-level understanding of the various software modules and their interfaces in a robotic application (ROS/ROS2, simulators, etc.).
  • Publications at top-tier ML, robotics or CV conferences (e.g., NeurIPS, ICML, ICLR, CoRL, RSS, ICRA, CVPR, ECCV, ICCV).
  • Experience with designing custom robot hardware solutions.
  • Proficiency with various robot learning techniques (RL, imitation learning, etc.).
  • Experience working with modern computer vision algorithms, sensors (LiDAR, camera, radar, etc.), 3D (meshes, point clouds, etc.), segmentation, tracking, object detection.

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

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