Build the Path Forward

At Path Robotics, we’re attacking a trillion dollar opportunity - doing things that have never been done before to support an industry hurting from a lack of skilled labor. Big, hard problems are what Path tackles every day, and our people are our greatest asset to get that job done. Our intelligent, hardworking team of people do the impossible every single day, yet remain incredibly kind, humble, and always ready to support one another.

The Role

We're looking for a Software Engineer to build and maintain the infrastructure that powers our AI and machine learning workflows. You'll be the bridge between our AI research team and production — building the tooling, pipelines, and deployment systems that let models go from experiment to factory floor. This is a role for someone who thinks in systems but speaks ML: you understand what researchers need, and you know how to build reliable software around it.

What You’ll Do

• Build and maintain the software infrastructure that supports robot learning, including model training, experiment tracking, versioning, and deployment.
  
• Develop pipelines and tools for collecting, processing, and curating large-scale robotic sensor and telemetry data.
  
• Support deployment of AI models onto robotic systems, including simulation, hardware integration, runtime monitoring, and feedback loops from field data.
  
• Build internal tools that accelerate AI engineering workflows across dataset exploration, testing, evaluation, and productionisation.
  
• Partner closely with AI researchers and robotics engineers to turn model requirements into robust, scalable software systems.

Who You Are

• You have 3–6 years of software engineering experience, with solid exposure to ML infrastructure, MLOps, or AI-enabled systems.
  
• You write strong production software in Python, and ideally also have experience with C++, ROS, or robotics software stacks.
  
• You have experience with PyTorch and a practical understanding of the software systems needed to support AI model development.
  
• You are comfortable with data pipelines, simulation environments, containerised workflows, and GPU compute in Linux environments.
  
• You enjoy working across AI and robotics, and can support the full path from data collection and testing through to deployment on real systems.