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Robotics Deployment Engineer Jobs in Austin, TX (NOW HIRING)

Support robot deployment, setup, and operational readiness checks * Collect operational data and maintain activity logs * Escalate technical issues to engineering teams * Verify task completion and ...

Support robot deployment, setup, and operational readiness checks * Collect operational data and maintain activity logs * Escalate technical issues to engineering teams * Verify task completion and ...

Senior or Staff Robotics Engineer Company Overview 9 Mothers Defense develops AI-enabled systems to ... and deployment. Requirements * Control theory & embedded systems: Strong grasp of PID control ...

... test, and deployment workflows across simulation and hardware targets. * Develop and maintain ... Collaborate with robotics engineers and embedded software leads to understand platform needs and ...

Showing results 21-40

Robotics Deployment Engineer information

See Austin, TX salary details

$35.2K

$108.6K

$168.5K

How much do robotics deployment engineer jobs pay per year?

As of Sep 8, 2026, the average yearly pay for robotics deployment engineer in Austin, TX is $108,598.00, according to ZipRecruiter salary data. Most workers in this role earn between $79,800.00 and $137,300.00 per year, depending on experience, location, and employer.

What is a robotics deployment engineer?

Robotics Deployment Engineers are professionals who specialize in installing, integrating, and configuring robotic systems in real-world settings. They work closely with clients to ensure robots are properly set up, tested, and optimized for specific operational needs. Their responsibilities often include troubleshooting hardware and software issues, providing on-site support, and training staff on using robotic equipment. These engineers play a critical role in making sure robotics technology transitions smoothly from the lab or factory to its intended application environment.

What are some typical challenges faced by robotics deployment engineers during on-site installations?

Robotics Deployment Engineers often encounter challenges such as adapting to varying facility layouts, integrating new robotic systems with existing infrastructure, and troubleshooting unexpected hardware or software issues during deployment. Communication and collaboration with local IT, operations, and maintenance teams are key to overcoming these obstacles, as each site may present unique requirements or constraints. Being flexible and solution-oriented is essential, as timelines can be tight and successful deployment often hinges on quickly resolving integration and performance concerns.

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

To thrive as a Robotics Deployment Engineer, you need a strong background in robotics, mechanical or electrical engineering, and experience with system integration, often supported by a relevant engineering degree. Familiarity with programming languages (such as Python or C++), robotics middleware (like ROS), and hands-on experience with automation hardware and control systems are typically essential. Problem-solving, adaptability, and excellent communication skills help you coordinate with cross-functional teams and address client needs effectively. These skills ensure successful on-site deployment, troubleshooting, and optimization of robotic systems in diverse environments.

What are popular job titles related to Robotics Deployment Engineer jobs in Austin, TX?

For Robotics Deployment Engineer jobs in Austin, TX, the most frequently searched job titles are:

What job categories do people searching Robotics Deployment Engineer jobs in Austin, TX look for?

The top searched job categories for Robotics Deployment Engineer jobs in Austin, TX are:

What cities near Austin, TX are hiring for Robotics Deployment Engineer jobs?

Cities near Austin, TX with the most Robotics Deployment Engineer job openings:

Infographic showing various Robotics Deployment Engineer job openings in Austin, TX as of August 2026, with employment types broken down into 91% Full Time, 5% Part Time, and 4% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $108,598 per year, or $52.2 per hour.

Robotics Software Engineer, Autonomy Integration

Contoro Robotics

Austin, TX • On-site

Full-time

Posted 3 days ago

New


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 and deploy autonomous truck-unloading robots that handle heavy and highly variable payloads in real customer environments.
The Role
We are hiring a robotics software engineer to improve how our autonomous robots execute motion and coordinate work across planning, robot control, end effectors, sensors, and material-handling equipment. You will develop production software that connects high-level autonomy decisions to reliable physical execution, with a focus on reducing cycle time, eliminating unnecessary delays, and improving recovery from real-world failures.
This role is well suited for an engineer who enjoys working across software and hardware boundaries, diagnosing system-level problems, and turning performance data into practical improvements on deployed robots.
Responsibilities
  • Develop and improve software for robot trajectory execution, task sequencing, and hardware coordination
  • Profile robot cycles and reduce delays across motion planning, trajectory execution, end-effector operation, sensing, and conveyor interaction
  • Build and maintain reusable, validated robot motions for common operating scenarios and integrate them with online planning
  • Extend behavior trees or state machines for autonomous task execution, event-driven coordination, fault handling, and recovery
  • Integrate motion-planning outputs with industrial robot controllers, hardware interfaces, and safety constraints
  • Diagnose production issues using logs, telemetry, simulation, and testing on physical robots
  • Add instrumentation, automated tests, regression tests, and hardware validation for execution and autonomy software
  • Collaborate with perception, motion planning, controls, hardware, test, and deployment engineers on cross-system improvements
  • Participate in design reviews and contribute to system architecture and technical planning
Qualifications
  • B.S. or M.S. in Robotics, Computer Science, Electrical Engineering, Mechanical Engineering, or a related field, or equivalent industry experience
  • 3+ years of professional experience developing software for deployed robotic or automation systems
  • Proficiency in modern C++ and Python in a production environment
  • Experience developing with ROS or ROS 2 on Linux
  • Hands-on experience integrating software with physical robots, actuators, sensors, or industrial automation equipment
  • Working knowledge of robot kinematics, motion planning, trajectory execution, and controller interfaces
  • Experience with behavior trees, state machines, or similar task-orchestration frameworks
  • Strong debugging skills across software, communications, controls, and hardware interfaces
  • Ability to design, test, and deliver reliable software across subsystem boundaries
Preferred Qualifications
  • Experience with industrial manipulators such as KUKA, ABB, FANUC, Universal Robots, or similar platforms
  • Experience with MoveIt, Pilz, OMPL, Ruckig, ros2_control, or comparable robotics frameworks
  • Experience profiling and improving robot cycle time, throughput, latency, or trajectory execution
  • Familiarity with robot communication and industrial protocols such as EtherCAT, CAN, PROFINET, EtherNet/IP, or OPC UA
  • Experience with behavior-tree design, event-driven automation, or production recovery logic
  • Experience building simulation, hardware-in-the-loop, or automated regression-testing systems
  • Familiarity with Docker-based deployment and cloud-based logging or monitoring
  • Prior work in warehouse automation, manufacturing, logistics, material handling, or robotic pick-and-place applications