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

Bachelor's degree in Robotics, Computer Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, or related field; advanced degree preferred. Bonus Qualifications * Experience ...

Bachelor's degree in Robotics, Computer Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, or related field; advanced degree preferred. Bonus Qualifications * Experience ...

Bachelor's degree in Robotics, Computer Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, or related field; advanced degree preferred. Bonus Qualifications * Experience ...

Senior Autonomy Engineer

Denver, CO · On-site

$107K - $147K/yr

Required : • Bachelor's degree in computer science, robotics, aerospace engineering, electrical engineering, or a similar discipline • Proficient in C/C++ and Python • Strong understanding of ...

Bachelor's degree in computer science, robotics, or a similar discipline * Experienced with C/C++ and Python * 2+ years of experience with implementing perception and tracking algorithms deployed in ...

Autonomy Engineer

Denver, CO · On-site

$95K - $175K/yr

Bachelor's degree in computer science, robotics, aerospace or a similar discipline * Proficient in C/C++ and Python * Strong understanding of statistics, optimization, and reasoning under uncertainty ...

Principal Autonomy Engineer

Denver, CO · On-site

$230K - $390K/yr

Bachelor's degree in computer science, robotics, or a similar discipline * Proficient in C/C++ and Python * Strong understanding of statistics, optimization, and reasoning under uncertainty * 8+ ...

Senior Autonomy Engineer

Denver, CO · On-site

$170K - $290K/yr

Bachelor's degree in computer science, robotics, aerospace engineering, electrical engineering, or a similar discipline * Proficient in C/C++ and Python * Strong understanding of at least one of ...

Autonomy Engineer

Arvada, CO · On-site

$100K - $130K/yr

Bachelor's degree or higher in Computer Science, Robotics Engineering, or related field * 1-3 years of relevant professional experience in developing autonomy software for autonomous systems, with a ...

Bachelors degree or higher in Computer Science, Robotics Engineering, or related field * 1-3years of relevant professional experience in developing autonomy software for autonomous systems, with a ...

Bachelor's degree or higher in Computer Science, Robotics Engineering, or related field * 1-3years of relevant professional experience in developing autonomy software for autonomous systems, with a ...

Bachelor's degree in computer science or similar preferred * Experience in the robotics or similar field preferred * 25% travel required Please note that this role will be based on-site, full-time at ...

... in computer science, electrical engineering, automation engineering, or equivalent, or 2+ years of robotics work cells and control systems experience - Bachelor's degree in computer science ...

Bachelor's degree in computer science or similar preferred * Experience in the robotics or similar field preferred * 25% travel required Please note that this role will be based on-site, full-time at ...

Bachelor's degree in computer science or similar preferred * Experience in the robotics or similar field preferred * 25% travel required Please note that this role will be based on-site, full-time at ...

Bachelor's degree in computer science or similar preferred * Experience in the robotics or similar field preferred * 25% travel required Please note that this role will be based on-site, full-time at ...

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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.
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 June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution.
Senior Robotics Engineer

Senior Robotics Engineer

Prime Robotics

Denver, CO • On-site

$150K/yr

Full-time

Medical, Dental, Vision

Posted 2 days ago


Job description

At Prime Robotics, we're building the future of warehouse automation through tightly integrated robotics, software, and intelligent infrastructure. Our systems support pallet retrieval, case picking, each picking, and rack automation in active, high-throughput warehouse environments. We are now advancing our platform toward the next generation of AI-driven robotics, combining autonomous systems, perception, simulation, and scalable software to create smarter, more adaptive warehouse operations.
Position
We are seeking a Senior Robotics Engineer to help architect and develop the next generation of Prime Robotics' autonomous systems. This is a hands-on engineering role focused on building production-grade robotics software and integrating advanced robotics technologies that drive state of the art perception, navigation, and distributed systems. You will work across software, hardware, and field deployment challenges to deliver intelligent, scalable, and reliable robotic solutions for real-world warehouse environments.
Please note that this role is on-site and this individual will split their time between our lab in Downtown Denver and our Corporate HQ in Lakewood, CO.
What You'll Do
  • Architect and develop robotics software in ROS/ROS2 for autonomous mobile robots, from motion and perception through orchestration and fleet behavior.
  • Build and optimize systems involving SLAM navigation, sensor fusion, path & motion planning, and multi-robot coordination.
  • Lead development in advancing our robotics capabilities to include AI and machine learning for safety and throughput optimizations
  • Troubleshoot complex field and lab issues across hardware/software boundaries, driving root cause analysis and long-term fixes.
  • Collaborate with cross-functional teams in the US and China to improve robotic system performance, reliability, and maintainability.
  • Support customer implementations, deployment readiness, and technical validation efforts that shape future product direction and sustain high value customer requirements.

Requirements
Required Skills & Experience
  • 8+ years of experience in robotics, autonomous systems, or related fields, with a proven track record of shipping real products.
  • Strong expertise in C++ and Python, with experience building performance-critical, production-quality systems.
  • Deep understanding of ROS/ROS2, real-time robotics systems, SLAM, navigation, path planning, and control.
  • Experience with perception systems, sensor integration, computer vision, and AI/ML-enabled robotics workflows.
  • Strong Linux and Docker experience, with familiarity in distributed systems, embedded systems, or edge compute environments.
  • Hands-on experience debugging and integrating robotic hardware, software, and field-deployed systems.
  • Bachelor's degree in Robotics, Computer Engineering, Electrical Engineering, Mechanical Engineering, Computer Science, or related field; advanced degree preferred.

Bonus Qualifications
  • Experience with NVIDIA Jetson, Isaac SDK, Isaac Sim, Omniverse, CUDA, or GPU-accelerated robotics workloads.
  • Experience with Java/Spring Boot programming and development.
  • Background in warehouse automation, AMRs, material handling, or industrial robotics.
  • Experience with gRPC, Protobuf, or distributed messaging frameworks.
  • Familiarity with robot hardware such as mobility bases, arms, grippers, safety systems, and embedded electronics.
  • Experience working across international engineering teams and influencing technical direction without direct authority.

What We're Looking For
  • A strong systems thinker who can balance architecture, performance, and practical execution.
  • A hands-on engineer who can move fluidly between design, coding, debugging, and deployment support.
  • Someone who values clean, scalable software but stays grounded in real robot behavior and operational constraints.
  • A problem solver who takes ownership, drives clarity, and pushes through ambiguity.
  • An engineer who is excited about advancing warehouse robotics with AI, autonomy, and robust software foundations.

The expected minimum base salary for this role is $150,000 annually, informed by external market data. Actual offers will depend on factors such as the candidate's experience, education, training, key or critical skills, and current market and business conditions.
Benefits
  • Employer-subsidized medical, dental, and vision insurance plans to support your health and wellbeing.
  • Dedicated vacation and sick leave that allows you to recharge and take care of yourself when needed.
  • Invaluable hands-on experience with cutting-edge robotics technology that keeps your skills at the industry forefront.
  • A collaborative culture where innovation thrives, and your work has a real impact.
  • The excitement of contributing to transformative technology in a fast-growing industry.

Our hiring process may incorporate AI-assisted tools to support activities such as application review, resume screening, and response evaluation. These tools are used to assist our recruitment team and do not make hiring decisions independently. All final decisions are made by a human reviewer. For questions about how your personal data is handled during this process, please don't hesitate to reach out to us.
Prime Robotics is proud to be an EEOE, M/F/D/V, and we are committed to diversity both in practice and spirit at the corporate level.
Prime Robotics participates in E-Verify. E-Verify is an Internet-based system that compares information from an employee's Form I-9, Employment Eligibility Verification, to data from U.S. Department of Homeland Security and Social Security Administration records to confirm employment eligibility.