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Computer Science Robotics Jobs in Denver, CO (NOW HIRING)

... computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of electrical theory, robotics, controls components, and automated equipment experience - Bachelor ...

... Computer Engineering, Systems Engineering, Applied Mathematics, Data Science, Robotics, Information Systems, ect. ALTERNATE EXPERIENCE General comment on degrees: Most contracts allow additional ...

D. degree in Computer Science, Robotics, Electrical Engineering or related field. Appropriate research expertise includes electromechanical, intelligent or autonomous systems, distributed systems ...

D. degree in Computer Science, Robotics, Electrical Engineering or related field. Appropriate research expertise includes electromechanical, intelligent or autonomous systems, distributed systems ...

... robotics-adjacent technologies. • Strong written and verbal communication skills with the ability to ask good questions and receive constructive feedback. • Bachelor's degree in Computer Science ...

Software Engineer

Denver, CO · On-site

$125K - $175K/yr

Degree in Computer Science, Robotics, Computer Engineering, or a related technical field. * Portfolio: A track record of building things-be it side projects, or open-source contributions. * Mindset:

Showing results 41-60

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.

What are popular job titles related to Computer Science Robotics jobs in Denver, CO?

For Computer Science Robotics jobs in Denver, CO, the most frequently searched job titles are:

What job categories do people searching Computer Science Robotics jobs in Denver, CO look for?

The top searched job categories for Computer Science Robotics jobs in Denver, CO are:

Infographic showing various Computer Science Robotics job openings in Denver, CO as of August 2026, with employment types broken down into 70% Full Time, and 30% Part Time. Highlights an 100% In-person job distribution.

Flight Software Engineer (Platform)

Rendezvous Robotics

Golden, CO • On-site

$140K - $175K/yr

Full-time

Re-posted 8 days ago


Job description

Today, everything we send to space is constrained by what fits inside a rocket fairing. That's a fundamental bottleneck to building more capable spacecraft. Rendezvous Robotics is solving this problem with electromagnetic self-assembling tiles: modular spacecraft components that rendezvous, dock, and latch to assemble bigger and more powerful spacecraft than anything that can be folded to fit into a rocket.

We're a small team based in Golden, Colorado, executing on a clear path from flight demonstration to our first operational systems. Our work spans hardware, software, and systems engineering. We are looking for the best people in the world who want to build the next generation of advanced spacecraft.

Responsibilities & Ownership

  • The flight software platform the rest of the stack runs on: the component framework, real-time scheduling, and the integration that wires subsystems together
  • Hardware abstraction layers that enable board agnostic software development
  • The real-time Linux our vehicles boot: image build pipelines, provisioning, device identity, process supervision, and the health and update services
  • Firmware close to the hardware: deterministic control of sensors and actuators, and the serial protocols back up to the main compute
  • Build, test, and CI for flight software, and bringing new boards into the software stack alongside the avionics team

Basic Qualifications

  • Degree in computer science, computer engineering, or electrical engineering, or equivalent experience
  • [Senior level only] 5+ years of relevant experience
  • Strong C++ and/or C, with a real understanding of how software runs on hardware
  • Embedded Linux: building, configuring, and debugging on resource-constrained systems
  • Comfort at the lower layers: device drivers, serial buses (UART, SPI, I2C), and reading a datasheet to ground truth

Preferred Qualifications

  • Component-based flight software frameworks such as F Prime, or other robotics and aerospace middleware
  • Microcontroller firmware (STM32 or similar), real-time control, and RTOS or bare-metal work
  • OS image build systems (Yocto, Buildroot) and provisioning or flashing pipelines
  • Real-time scheduling, CPU pinning, and latency tuning
  • CMake, CI for embedded targets, and hardware-in-the-loop testing

Compensation and Benefits

Engineer: $95,000 - $140,000

Senior Engineer: $140,000 - $175,000

Your actual level and base salary will be determined on a case-by-case basis and may vary based on the following considerations: job-related knowledge and skills, education, and experience. In addition to the base salary, you may also be eligible for long-term incentives in the form of stock options. You will receive access to comprehensive medical, vision, and dental coverage, short- and long-term disability insurance, life insurance, and paid parental leave. You may also accrue 3 weeks of paid vacation and will be eligible for 10 or more paid holidays per year.

ITAR Requirements

To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State. Learn more about the ITAR here.

Equal Opportunity

Rendezvous Robotics is an Equal Opportunity Employer; employment with Rendezvous Robotics is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.