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Path Robotics Jobs in Texas (NOW HIRING)

Experience with robotics frameworks and middleware such as ROS/ROS 2 and IsaacSIM for modeling robotic interactions and path planning. * Strong understanding of robotics fundamentals including ...

Experience with robotics frameworks and middleware such as ROS/ROS 2 and IsaacSIM for modeling robotic interactions and path planning. * Strong understanding of robotics fundamentals including ...

Experience with robotics frameworks and middleware such as ROS/ROS 2 and IsaacSIM for modeling robotic interactions and path planning. * Strong understanding of robotics fundamentals including ...

By giving people the ability to Moonwalk, we believe the path forward to a better future is easily reached on your own two feet. Our flagship product, Moonwalkers , are the world's fastest robotic ...

By giving people the ability to Moonwalk, we believe the path forward to a better future is easily reached on your own two feet. Our flagship product, Moonwalkers , are the world's fastest robotic ...

By giving people the ability to Moonwalk, we believe the path forward to a better future is easily reached on your own two feet. Our flagship product, Moonwalkers , are the world's fastest robotic ...

The Robotics Planning Engineer is responsible for designing, developing, and validating planning ... path planning, terrain planning, and autonomous work execution across a variety of machine ...

Robotic Welder

Houston, TX · On-site

$80K - $100K/yr

... paths, wire feed speed, voltage, travel speed, and other operating parameters. · Monitor weld ... welding, robotics, automation, or a related field preferred. · 2+ years of welding or metal ...

Robotic Welder

Grapeland, TX · On-site

$15.50 - $21.25/hr

... paths, wire feed speed, voltage, travel speed, and other operating parameters. · Monitor weld ... welding, robotics, automation, or a related field preferred. · 2+ years of welding or metal ...

Showing results 41-60

Path Robotics information

See Texas salary details

$78.3K

$89.4K

$108.5K

How much do path robotics jobs pay per year?

As of Sep 11, 2026, the average yearly pay for path 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 Path Robotics?

A Path Robotics job typically refers to roles at Path Robotics, a company specializing in AI-driven robotic welding solutions. These jobs often involve engineering, software development, machine learning, and automation to enhance manufacturing efficiency. Employees work on developing autonomous robotic systems that improve welding precision and adaptability. Roles may include robotics engineers, software developers, and AI researchers, among others.

What does a Path Robotics engineer do?

As a Path Robotics engineer in a manufacturing setting, you may work on projects such as developing and deploying robotic arms for automated welding, optimizing machine vision systems for product inspection, or programming robots to handle parts assembly. Your daily responsibilities can include collaborating with software developers, hardware engineers, and production managers to design robust automation workflows and troubleshoot operational issues on the factory floor. This role often involves iterative testing, analyzing performance data, and implementing continuous improvements to maximize efficiency and quality. The environment is highly collaborative and fast-paced, providing many opportunities to work on diverse challenges and contribute to innovative automation solutions.

What are the key skills and qualifications needed to thrive in the Path Robotics position?

To excel at Path Robotics, individuals typically need strong expertise in robotics engineering, computer vision, and machine learning, often supported by a degree in engineering, computer science, or related fields. Experience with robotic operating systems (ROS), industrial automation platforms, and programming languages like Python or C++ is also important. Strong analytical thinking, problem-solving, and effective teamwork skills help professionals navigate technical challenges and deliver innovative automation solutions. These capabilities are crucial for developing, implementing, and improving robotic systems in manufacturing or other automated environments.

Is robotics a good career path?

Robotics is a growing field with opportunities in designing, developing, and maintaining automated systems, often requiring skills in programming, engineering, and problem-solving. Careers in robotics can be rewarding and stable, especially as automation expands across industries such as manufacturing, healthcare, and logistics.

What are popular job titles related to Path Robotics jobs in Texas?

For Path Robotics jobs in Texas, the most frequently searched job titles are:

Infographic showing various Path Robotics job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $89,438 per year, or $43 per hour.

Senior Robotics Engineer (Motion Planning)

Austin, TX • On-site

Judge Group, Inc.
Recruiting and Staffing Services • 5 - 10K employees

$150K - $180K/yr

Other

Re-posted 15 days ago


Key responsibilities

  • Lead the development of trajectory generation and time parameterization to create dynamically feasible robot motion within hardware constraints.

  • Architect, evaluate, and improve motion-planning frameworks and toolchains, including collision avoidance and perception integration.

  • Define and track motion-performance metrics, benchmark planning approaches, and validate improvements through simulation and physical robotic testing.


Job description

Location: Austin, TX Salary: $150,000.00 USD Annually - $180,000.00 USD Annually Description:
Senior Robotics Engineer - Motion Planning
Location: Austin, TX (Onsite)
Job Type: Full-Time
About the Role
We are seeking a Senior Robotics Engineer, Motion Planning to lead the next phase of motion-performance improvement for advanced robotic manipulation systems used in warehouse automation. This role is focused on developing fast, smooth, and dynamically feasible robot motion under real-world hardware constraints. You will serve as the technical leader for motion planning and trajectory generation, driving throughput improvements while maintaining safety, reliability, and payload stability.
This is a senior individual contributor position requiring deep expertise in robotic manipulation, trajectory optimization, motion planning, and real-world robotic deployments.
Responsibilities
Trajectory Optimization
  • Own trajectory generation and time parameterization, converting planned paths into time-optimal, dynamically feasible trajectories.
  • Minimize cycle times while respecting velocity, acceleration, jerk, torque, and payload constraints.
  • Drive performance improvements through advanced time parameterization techniques and optimization-based motion planning approaches, including optimal control and QP/NLP-based methods.
  • Develop smooth, jerk-limited motion profiles that maximize hardware safety and payload stability.
  • Address kinematic edge cases such as singularities and joint-limit constraints.
Path Planning and Motion Architecture
  • Lead geometric path planning for high-degree-of-freedom robotic manipulators operating in complex and cluttered environments.
  • Evaluate, architect, and improve motion-planning frameworks and toolchains, including technologies such as MoveIt, OMPL, CHOMP, and TrajOpt.
  • Integrate perception outputs into planning environments for collision-aware motion execution.
  • Ensure robust collision avoidance around structures, obstacles, and neighboring objects.
Performance Validation
  • Define and track key motion-performance metrics.
  • Benchmark alternative planning approaches and validate performance gains in simulation and on physical robotic systems.
  • Utilize physics-based and kinematic simulation environments to de-risk deployments and improve system reliability.
Technical Leadership
  • Establish technical direction for motion-planning initiatives.
  • Drive long-term improvements in cycle time, throughput, and operational reliability.
  • Mentor and support junior and mid-level engineers.
  • Collaborate closely with autonomy, perception, controls, and software engineering teams to deliver high-performing robotic solutions.
Minimum Qualifications
Experience
  • 5+ years of professional experience in:
    • Motion planning
    • Trajectory optimization
    • Robotic manipulator control
  • Demonstrated experience deploying robotic systems on real hardware.
  • Proven ownership of motion-planning performance and system optimization.
Education
  • Bachelor's or Master's degree in:
    • Robotics
    • Computer Science
    • Mechanical Engineering
    • Electrical Engineering
    • Related technical field
  • Equivalent practical experience will also be considered.
Technical Skills
  • Strong expertise in classical trajectory generation and time-parameterization methods, including:
    • TOTG/TOPP-RA
    • Ruckig
    • S-curve motion profiles
  • Deep understanding of manipulator kinematics and dynamics, including:
    • Forward and inverse kinematics
    • Collision checking
    • Velocity, acceleration, jerk, and torque constraints
    • Singularity handling
    • Joint-limit management
  • Experience with optimization-based motion planning approaches such as:
    • Optimal control
    • Quadratic programming (QP)
    • Nonlinear programming (NLP)
  • Strong proficiency in:
    • Modern C++
    • Python
    • ROS1 and/or ROS2
  • Experience validating performance improvements through simulation and real-world testing.
Soft Skills
  • Strong analytical and problem-solving abilities.
  • Ability to lead complex technical initiatives with minimal direction.
  • Excellent communication and cross-functional collaboration skills.
  • Experience mentoring and developing engineers.
Preferred Qualifications
  • Experience with MoveIt and related planning frameworks.
  • Knowledge of motion-planning algorithms including:
    • RRT
    • RRT-Connect
    • PRM
    • CHOMP
    • TrajOpt
  • Experience working with industrial robotic manipulators and real-time control systems.
  • Experience with multi-object or multi-pick manipulation planning.
  • Background optimizing throughput and cycle time in production robotics environments.
  • Experience with GPU-accelerated or learning-based motion-planning techniques.
  • Experience using simulation platforms such as:
    • Isaac Sim
    • Gazebo
    • MuJoCo
    • Bullet
Work Environment
  • Location: Austin, Texas
  • Work Arrangement: Fully onsite
  • Collaborate closely with multidisciplinary teams in a fast-paced engineering environment focused on robotics innovation and real-world deployment.

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This job and many more are available through The Judge Group. Please apply with us today!