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Soft Robotics Jobs in Texas (NOW HIRING)

2551 Valmont Dr Brenham Texas 77833-5418 Why Valmont We're Here to Move the World Forward. Valmont impacts millions of people around the world every day, yet they might not realize the many ways. Our ...

Data Engineer, Cloud Platform

Austin, TX · On-site

$113K - $136K/yr

Join Contoro Robotics - Revolutionizing Warehouse Automation with Cutting-Edge Robotics At Contoro ... Soft Skills * Strong sense of ownership, urgency, and curiosity * Excellent communication skills ...

Sr Robotics Analysts

Frisco, TX · On-site

$82K - $109K/yr

The Senior Robotics Analyst develops business requirements for Robotic Process Automation (RPA) and Robotic Desktop Automation (RDA) related projects, assuring system specifications address the ...

SW and Controls Engineer

Austin, TX · On-site

$44.75 - $57.25/hr

Join Contoro Robotics - Revolutionizing Warehouse Automation with Cutting-Edge Robotics At Contoro ... Soft Skills: * Excellent communication and collaboration across software, mechanical, electrical ...

Minimum 6+ years of hands-on UiPath RPA development experience Job Summary We are seeking a highly experienced Senior RPA Developer (UiPath) to design, develop, and deploy enterprise-grade automation ...

Minimum 6+ years of hands-on UiPath RPA development experience Job Summary We are seeking a highly experienced Senior RPA Developer (UiPath) to design, develop, and deploy enterprise-grade automation ...

Automation Sr. RPA Engineer

Dallas, TX · On-site

$102K - $135K/yr

Automation Sr. RPA Engineer Location Dallas, TX. Onsite Looking for an Automation Senior Consultant ... Soft skills Delivery Management: Lead end-to-end intelligent automation engineering with best ...

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Showing results 1-20

Soft Robotics information

See Texas salary details

$78.3K

$89.4K

$108.5K

How much do soft robotics jobs pay per year?

As of Jul 28, 2026, the average yearly pay for soft robotics in Texas is $89,438.00, according to ZipRecruiter salary data. Most workers in this role earn between $83,800.00 and $95,000.00 per year, depending on experience, location, and employer.

What is a Soft Robotics job?

A Soft Robotics job involves designing, developing, and testing robots made from flexible, compliant materials. These robots are often used for tasks requiring delicate handling, adaptability, or safe human interaction. Professionals in this field work in areas like medical devices, automation, and bio-inspired robotics. They typically have backgrounds in mechanical engineering, materials science, or computer science. The role may involve programming, prototyping, and analyzing robotic systems for various applications.

What are the key skills and qualifications needed to thrive in the Soft Robotics position, and why are they important?

To excel in Soft Robotics, you need a strong background in mechanical engineering, materials science, and robotics, often supported by advanced degrees or specialized training. Familiarity with design and simulation software (e.g., SolidWorks, MATLAB), rapid prototyping tools, and experience with soft materials fabrication techniques are commonly expected. Creative problem-solving, teamwork, and effective communication are vital soft skills in this multidisciplinary field. These abilities are crucial for developing innovative robotic solutions, collaborating across diverse teams, and successfully translating concepts into functional prototypes.

What are the typical responsibilities and collaborative aspects of a Soft Robotics role?

Professionals in Soft Robotics are often involved in designing, prototyping, and testing robotic systems that use flexible and compliant materials. Day-to-day work can include hands-on fabrication, modeling and simulation, and iterative experimentation to refine robotic mechanisms. Collaboration is key, as you’ll frequently work with experts from fields like electronics, biology, materials science, and computer science to solve complex engineering challenges. This role offers the opportunity to work in multidisciplinary teams, contributing to innovative projects that advance both research and real-world applications in areas like healthcare, manufacturing, and wearable technology.

What are the most commonly searched types of Soft Robotics jobs in Texas? The most popular types of Soft Robotics jobs in Texas are:
What are popular job titles related to Soft Robotics jobs in Texas? For Soft Robotics jobs in Texas, the most frequently searched job titles are:
What cities in Texas are hiring for Soft Robotics jobs? Cities in Texas with the most Soft Robotics job openings:
Infographic showing various Soft Robotics job openings in Texas as of July 2026, with employment types broken down into 93% Full Time, 5% Part Time, and 2% Contract. Highlights an 95% Physical, 1% Hybrid, and 4% Remote job distribution, with an average salary of $89,438 per year, or $43 per hour.
Sr. Robotics Engineer, Motion Planning

Sr. Robotics Engineer, Motion Planning

Contoro Robotics

Austin, TX • On-site

Full-time

Posted 17 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!
Senior Robotics Engineer, Motion Planning
Contoro Robotics is an Austin-based company building autonomous truck-unloading robots for warehouse operations. We deploy reliable, high-throughput robotic systems that handle heavy, unstructured freight in real logistics settings every day.
The Role
We are looking for a Senior Robotics Engineer to lead the next phase of motion-performance improvement for our robot arm. You will be the technical lead for motion planning and trajectory generation, owning how we turn planned motion into fast, smooth, dynamically feasible trajectories under real hardware constraints. Your focus is reducing cycle time while maintaining safety and payload stability, using strong fundamentals in kinematics, dynamics, constrained optimization, and hardware-backed performance validation. This is a senior individual-contributor role: you set technical direction for motion planning, own the hardest trajectory-optimization problems, and mentor other engineers, working closely with the autonomy team.
Responsibilities
Trajectory Optimization
  • Own trajectory generation and time parameterization: turn planned paths into time-optimal, dynamically feasible trajectories that minimize cycle time while respecting velocity, acceleration, jerk, and torque limits of the arm and payload.
  • Drive the next generation of our motion performance through advanced time parameterization, optimization-based motion (optimal control, QP/NLP), and payload-aware planning that meaningfully increases throughput.
  • Ensure smooth, jerk-limited motion that maintains payload stability and hardware safety, and robustly handle near-singularity and joint-limit edge cases without stalls or unsafe motion.

Path Generation and Planning Architecture
  • Own geometric path planning for a high-DOF manipulator moving boxes through cluttered, partially occluded container environments.
  • Evaluate and evolve the planning architecture and toolchain (e.g., MoveIt, OMPL, CHOMP/TrajOpt), making the build, adopt, and extend decisions for the planning stack.
  • Integrate perception outputs (container frame, box poses, occupancy) into the planning scene, reasoning about collision objects such as container walls, ceiling, and neighboring boxes.

Performance Validation
  • Define motion-performance metrics, benchmark alternative approaches, and validate gains both in simulation and on real hardware.
  • Use physics-based and kinematic simulation to develop and de-risk changes before they reach the fleet.

Technical Leadership
  • Set technical direction for motion planning and drive multi-quarter improvements in cycle time and reliability.
  • Mentor junior and mid-level engineers and raise the team's bar on motion-planning craft, testing, and reliability.
  • Collaborate across autonomy, perception, controls, and robot software to deliver end-to-end motion that is both fast and reliable across diverse box configurations.
Qualifications
Experience: 5+ years of professional experience in motion planning, trajectory optimization, or manipulator control, with production or real-hardware deployment and a track record of owning motion performance end-to-end.
Education: B.S. or M.S. in Robotics, Computer Science, Mechanical/Electrical Engineering, or a related field (or equivalent industry experience).
Technical Skills:
  • Strong grounding in classical trajectory generation and time-parameterization methods (e.g., TOTG/TOPP-RA, Ruckig, S-curve profiles), with the ability to derive, adapt, and implement them in production systems.
  • Deep grasp of manipulator kinematics and dynamics - forward/inverse kinematics, collision checking, velocity/acceleration/jerk and torque constraints, and singularity and joint-limit handling for 6/7-DOF arms.
  • Background in optimization-based motion (optimal control, QP/NLP-based trajectory optimization).
  • Deep proficiency in C++ (modern standards), Python, and ROS 1 or ROS 2.
  • Experience validating cycle-time and reliability improvements on real hardware, backed by simulation.

Soft Skills:
  • Strong problem-solving and data-driven decision-making; able to own ambiguous, high-impact problems and decompose them into actionable work.
  • Excellent communication - able to present complex technical concepts clearly to cross-functional teams and mentor other engineers.
Nice to Have
  • Hands-on expertise with MoveIt and motion planning frameworks (OMPL, RRT/RRT-Connect/PRM, CHOMP/TrajOpt).
  • Experience with industrial manipulators (e.g., KUKA) and real-time joint control.
  • Experience planning for multi-object or multi-pick manipulation.
  • Experience optimizing for throughput or cycle time in a production robotics or logistics setting.
  • Experience with GPU-accelerated or learning-based motion planning in addition to classical methods.
  • Experience with physics-based or kinematic simulation for planning validation (Isaac Sim, Gazebo, MuJoCo, Bullet).

*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.