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Robotics Scientist Jobs in Texas (NOW HIRING)

S. in Robotics, Computer Science, Mechanical Engineering, or a related field * 3+ years of professional experience developing software for deployed robotic systems * Proficiency in C++ and Python in ...

As a Robotics Software Engineer for our Embedded Systems team, you will play a critical role in ... Bachelor's degree in Electrical Engineering, Computer Science, or a related field, with 3+ years of ...

Evidence of exceptional ability in engineering or computer science. * Hands-on experience with robotics or high reliability systems. * Experience coding in Linux and a system language like C/C++/Rust.

Well-versed in computer science, applied physics, and mechanics. * Basic programming knowledge in C ... Advanced degree in robotics engineering, mechanical engineering, or electrical engineering. * An ...

Well-versed in computer science, applied physics, and mechanics. * Basic programming knowledge in C ... Advanced degree in robotics engineering, mechanical engineering, or electrical engineering. * An ...

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Showing results 1-20

Robotics Scientist information

See Texas salary details

$34.5K

$84.7K

$149.1K

How much do robotics scientist jobs pay per year?

As of Sep 12, 2026, the average yearly pay for robotics scientist in Texas is $84,744.00, according to ZipRecruiter salary data. Most workers in this role earn between $63,400.00 and $93,200.00 per year, depending on experience, location, and employer.

What is a robotics scientist?

Robotics Scientists are professionals who design, build, and program robots and robotic systems. They use knowledge from engineering, computer science, and mathematics to create machines that can perform tasks autonomously or with minimal human intervention. Robotics Scientists often work on developing new technologies, improving existing robots, and solving complex challenges in automation, manufacturing, healthcare, and other industries. Their work involves research, experimentation, and collaboration with multidisciplinary teams. The goal is to advance the capabilities and applications of robotics to benefit society.

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

To thrive as a Robotics Scientist, you need a strong background in robotics, computer science, engineering, and mathematics, typically supported by an advanced degree in a related field. Familiarity with programming languages (such as Python, C++, or ROS), simulation software, and hardware prototyping tools is essential. Strong problem-solving, creativity, and collaboration skills help drive innovation and effective teamwork in multidisciplinary environments. These skills are crucial for developing advanced robotic systems that address complex real-world challenges and push technological boundaries.

What are some typical challenges a robotics scientist faces when integrating hardware and software components?

Robotics Scientists often encounter challenges when ensuring seamless communication and compatibility between hardware (such as sensors and actuators) and the software algorithms that control them. Troubleshooting issues like timing mismatches, data latency, or hardware limitations is common, and requires both analytical problem-solving and collaboration with multidisciplinary teams. Staying updated on emerging technologies and working closely with engineers, programmers, and designers is key to overcoming these challenges and driving successful project outcomes.

What is the difference between Robotics Scientist vs Robotics Engineer?

AspectRobotics ScientistRobotics Engineer
Required CredentialsTypically a Ph.D. or Master's in robotics, computer science, or related fieldsBachelor's or Master's in robotics, mechanical, electrical engineering, or related fields
Work EnvironmentResearch labs, universities, R&D departmentsDesign, develop, and test robotic systems in industrial or commercial settings
Employer & Industry UsageAcademic institutions, research organizations, tech companiesManufacturing, automation, aerospace, automotive industries
Common Search & Comparison IntentUnderstanding research roles, academic careersPractical application, system development

Robotics Scientists focus on research, developing new algorithms and theories in robotics, often working in academic or research settings. Robotics Engineers apply these principles to design, build, and implement robotic systems in industry. While both roles require technical knowledge, the Scientist emphasizes innovation and theory, whereas the Engineer emphasizes practical application and system development.

Infographic showing various Robotics Scientist job openings in Texas as of August 2026, with employment types broken down into 86% Full Time, 7% Part Time, 5% Contract, and 2% Nights. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $84,744 per year, or $40.7 per hour.

Robotics Engineer, Autonomy

Austin, TX • On-site

Contoro Robotics
Industrial Automation Equipment Manufacturing • 11 - 50 employees

Full-time

Re-posted 5 days ago


Job description

Join Contoro Robotics - Revolutionizing Warehouse Automation with Cutting-Edge Robotics
At Contoro Robotics, we're on a mission to solve labor challenges through advanced robotic solutions. Headquartered in Austin, TX, our fast-growing startup is transforming the supply chain industry with our flagship warehouse automation technology. Our team is made up of top-tier experts in robotics, AI, and logistics, working together to push the boundaries of automation.
We're looking for talented and ambitious individuals to join us on this journey-helping shape the future of robotics while growing alongside a world-class team. If you're passionate about innovation, problem-solving, and making a real-world impact, we want to hear from you!
About Contoro
Contoro Robotics is an Austin based startup focused on warehouse automation. We design a state-of-the-art autonomous truck unloading system capable of lifting boxes over 60 lbs.
The Role
We are hiring a robotics software engineer to contribute to the motion planning and autonomous behavior systems on our unloading robot. You will work with senior engineers to advance specific autonomy modules - including grasp planning, trajectory execution, collision avoidance, and behavior logic. These systems run in production across a fleet of active robots. You will partner closely with perception, hardware, and operations engineers to deliver reliable picks across a wide range of box configurations.
Responsibilities
  • Contribute and advance specific motion planning modules, including grasp planning, trajectory generation, and collision avoidance
  • Contribute to the behavior tree that governs the robot's autonomous unloading cycle, including pick selection, drop verification, and error recovery
  • Improve pick success rate and cycle time through software changes
  • Debug and resolve production issues through remote log analysis and telemetry
  • Write and maintain automated tests for motion planning and behavior logic
  • Collaborate with perception, hardware, and trajectory optimization engineers on cross-system integration
  • Participate in design reviews and contribute to module-level technical decisions
Qualifications
  • B.S. or M.S. in Robotics, Computer Science, Mechanical Engineering, or a related field
  • 3+ years of professional experience developing software for deployed robotic systems
  • Proficiency in C++ and Python in production robotics environments
  • Experience with ROS and motion planning frameworks (e.g., MoveIt)
  • Working knowledge of kinematics, inverse kinematics, and collision avoidance for manipulators
  • Experience with behavior trees or state machines for robot autonomy
  • Strong debugging skills and the ability to diagnose issues in production systems
  • Familiarity with Linux-based development environments
Preferred Qualifications
  • Experience with industrial manipulators (KUKA, ABB, Fanuc, UR, or similar)
  • Familiarity with grasp planning and manipulation under occlusion
  • Familiarity with occupancy mapping for collision avoidance
  • Experience with Docker-based deployment and cloud-based logging/monitoring
  • Prior work in warehouse automation, surgical robotics, logistics, or pick-and-place applications
*Recruitment Agencies: Please do not contact our employees regarding this role. We partner with a select group of approved recruiting firms and do not accept unsolicited outreach or candidate submissions.