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Computer Science Robotics Jobs (NOW HIRING)

Slip Robotics

Robotics Perception Engineer

Atlanta, GA · On-site +1

Master's degree or higher in Computer Science, Robotics, or a related field * Experience with AWS IoT, Greengrass, or similar edge-cloud architectures * Experience in logistics, warehousing, or ...

Skild AI

Robotics Software Engineer

Pittsburgh, PA · 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. * Proficiency developing in C++ or Python.

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 ...

RePublic Schools

25- 26: Computer Science Teacher

Jackson, MS · On-site

$39K - $54K/yr

Position: 25-26 Computer Science Location: Smilow Prep/ ReImagine Prep Report To: Principal Who We ... From coding foundations to robotics challenges, our CS classrooms are places where creativity ...

RePublic Schools

25- 26: Computer Science Teacher

Jackson, MS · On-site

$39K - $54K/yr

Position: 25-26 Computer Science Location: Smilow Prep/ ReImagine Prep Report To: Principal Who We ... From coding foundations to robotics challenges, our CS classrooms are places where creativity ...

Torc Robotics

Software Engineer II

Ann Arbor, MI · On-site

$164K/yr

Master's degree in Automotive Engineering, Computer Science, Robotics, Electrical engineering or related technical field and two years of experience in job offered or other closely related position.

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Computer Science Robotics information

Which 5 jobs will survive AI?

For a Computer Science Robotics professional, jobs involving complex problem-solving, system design, and programming such as robotics engineer, AI software developer, systems architect, research scientist, and technical project manager are likely to persist. These roles require creativity, critical thinking, and specialized knowledge that are difficult for AI to fully replicate. Skills in programming languages like Python, C++, and knowledge of hardware integration will remain valuable in these fields.

What are the top 10 careers in robotics?

Top careers in robotics include robotics engineer, automation engineer, control systems engineer, research scientist, software developer, hardware engineer, systems integrator, robotics technician, AI specialist, and mechatronics engineer. These roles often require skills in programming, mechanical design, and knowledge of robotics frameworks like ROS. Opportunities are available across industries such as manufacturing, healthcare, aerospace, and research institutions.

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.

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 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.

Is robotics a high paying career?

Robotics is generally considered a high-paying field within computer science and engineering, with salaries often exceeding the national average for technical roles. Factors such as experience, education, specialization in areas like automation or AI, and industry (e.g., manufacturing, aerospace) influence earning potential.

Can computer science work in robotics?

Yes, computer science is fundamental to robotics, as it involves programming, algorithms, and data processing to develop and control robotic systems. Computer scientists working in robotics often use languages like Python or C++, and may work with sensors, machine learning, and automation to improve robot functionality.

What are 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.
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What job categories do people searching Computer Science Robotics jobs look for? The top searched job categories for Computer Science Robotics jobs are:
Computer Science Robotics jobs near you
Infographic showing various Computer Science Robotics job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Robotics Perception Engineer

Robotics Perception Engineer

Slip Robotics

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision

Posted 22 hours ago

Job description

About Slip Robotics
Slip Robotics is transforming freight logistics with autonomous robotic systems that load and unload trailers faster, safer, and more reliably than traditional methods. Our robots operate in demanding real-world environments alongside people and heavy cargo every day. We are a small, high-impact team based in Atlanta building products that are already deployed in production.
The Role
We are looking for a Robotics Perception Engineer to own the sensing and perception stack on our autonomous mobile robots. You will work across LiDAR, cameras, IMUs, and other sensor modalities to give our robots a reliable understanding of their environment-including trailers, pallets, dock infrastructure, and people. This is a hands-on role where your work ships to production robots operating in live freight facilities.
We need someone who has shipped software on real robots at real customer sites. You should have experience deploying perception systems that work reliably in unstructured or semi-structured environments, and you should be comfortable debugging sensor issues on physical hardware.
Key Responsibilities
  • Design, implement, and maintain the perception pipeline for autonomous mobile robots, including object detection, segmentation, localization, and mapping
  • Integrate and calibrate LiDAR, depth cameras, and other sensors on production robot platforms
  • Develop robust point cloud processing and filtering for reliable operation
  • Build and maintain sensor fusion systems that combine multiple modalities for accurate environment understanding
  • Create and manage datasets for perception model training, validation, and regression testing
  • Collaborate closely with navigation, controls, and hardware teams to ensure perception outputs meet downstream requirements
  • Debug and resolve perception failures on deployed robots using logs, recorded sensor data, and on-site investigation
  • Contribute to CI/CD pipelines for perception software testing and deployment

Requirements
  • 5+ years of professional experience building perception systems for physical robots at a robotics or autonomous vehicle company
  • Strong proficiency in C++ and Python
  • Deep experience with LiDAR processing (point cloud filtering, clustering, registration, SLAM)
  • Hands-on experience with camera-based perception
  • Production experience with ROS or ROS 2
  • Experience with sensor calibration (intrinsic, extrinsic, multi-sensor)
  • Familiarity with machine learning frameworks (PyTorch, TensorFlow) for perception tasks
  • Track record of deploying perception software to real robots in real environments-not just simulation
  • Strong debugging skills and comfort working with physical hardware
  • Excellent communication skills and ability to work in a small, fast-moving team
Nice to Have
  • Master's degree or higher in Computer Science, Robotics, or a related field
  • Experience with AWS IoT, Greengrass, or similar edge-cloud architectures
  • Experience in logistics, warehousing, or freight environments
  • Background in Gazebo or other physics simulation for sensor modeling
Remote Work Requirements
This role can be filled remotely. Remote team members are expected to have reliable high-speed internet access and a dedicated workspace. You will need to travel to our Atlanta facility periodically for hardware integration and testing. A company laptop and necessary peripherals will be provided.
Benefits
  • Competitive salary and equity in an early-stage robotics company
  • Comprehensive benefits including health, dental, and vision
  • Permissive time off policy
  • A small team where your work has direct, visible impact on shipped products
  • The chance to work on robots that are operating in production today-not a research project

Apply