Full-Time

Machine Learning Engineer

Robot Learning

Confirmed live in the last 24 hours

Path Robotics

Path Robotics

51-200 employees

AI-powered autonomous welding robots for manufacturers

Robotics & Automation
Industrial & Manufacturing

Mid, Senior

Columbus, OH, USA

Category
Robotics & Autonomous Systems
AI & Machine Learning
Required Skills
Python
C/C++
Requirements
  • Master's degree or Ph.D. in Robotics, Mechanical Engineering, Electrical Engineering, Computer Science, or a related field.
  • Experience with machine learning techniques applied to fine grained motor control.
  • Strong programming skills in languages such as C++ or Python.
  • Experience with robotic simulation tools (e.g., Isaac Sim, Gazebo, Mojoco).
  • Knowledge of control theory, kinematics, dynamics, and optimization techniques.
  • Familiarity with sensors, actuators, and robotic hardware components.
  • Experience in robot manipulation and behavioral cloning.
  • Proficiency in reinforcement learning (RL) techniques, including goal-conditioned RL.
  • Proven track record of deploying scalable solutions for autonomous robotic systems.
  • Proven track record of publishing impactful work in the robotics field.
  • Excellent problem-solving skills and the ability to work both independently and in a team environment.
  • Strong communication skills, with the ability to convey complex technical concepts to a diverse audience.
Responsibilities
  • Design, develop, and implement advanced manipulation algorithms for robotic systems.
  • Develop, optimize, and deploy learning-based methods for motion control and planning algorithms on a fleet of industrial robotic cells.
  • Implement and refine robotic manipulation strategies to handle complex tasks.
  • Develop and apply behavioral cloning and reinforcement learning (RL) algorithms, including goal-conditioned RL, to solve complex robotic tasks.
  • Collaborate with hardware and software teams to integrate manipulation, control, and planning algorithms into robotic platforms.
  • Conduct simulations and real-world testing to validate the performance of manipulation, control, and planning algorithms.
  • Analyze and troubleshoot issues related to manipulation, motion control, and planning in robotic systems.
  • Stay updated with the latest advancements in robotics, control theory, and planning algorithms.

Path Robotics specializes in autonomous welding for the manufacturing sector, using AI technology to enable robots to independently scan, position, and weld parts. Their system creates a 3D model of each part, allowing for flexibility in handling variations without needing identical components. Unlike competitors, they offer a pay-as-you-go subscription model, which means clients only pay for the services they use, and all preventative maintenance is included. The goal of Path Robotics is to enhance manufacturing efficiency and reduce costs through their innovative welding solutions.

Company Stage

Series D

Total Funding

$263.6M

Headquarters

Columbus, Ohio

Founded

2014

Growth & Insights
Headcount

6 month growth

-4%

1 year growth

-21%

2 year growth

-25%
Simplify Jobs

Simplify's Take

What believers are saying

  • Path Robotics' recent $100M Series C funding round led by Tiger Global and Silicon Valley Bank indicates strong investor confidence and financial stability.
  • The introduction of the AF-1 autonomous manufacturing system can significantly increase production throughput for manufacturers without additional hiring.
  • Path Robotics' expansion plans, including adding 140 jobs, reflect robust growth and potential for career advancement.

What critics are saying

  • The high reliance on AI technology means any failure or malfunction could disrupt the entire manufacturing process.
  • The competitive landscape in autonomous manufacturing and robotics could pressure Path Robotics to continuously innovate to maintain its edge.

What makes Path Robotics unique

  • Path Robotics' AI-powered autonomous welding system eliminates the need for skilled welders or robot programmers, unlike traditional robotics solutions.
  • Their pay-as-you-go subscription model reduces upfront costs and includes preventative maintenance, making it more affordable and less burdensome for clients.
  • The proprietary AI system's ability to scan, model, and adapt to each part individually allows for high-quality welds in high mix, high variance, low volume environments.

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