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Path Robotics is seeking a Software Engineer to build and maintain the infrastructure powering our AI and machine learning workflows. You will bridge our AI research team and production by building tooling, pipelines, and deployment systems that move models from experiment to factory floor.
The role focuses on systems thinking and delivering reliable software for researchers and robotics engineers, with emphasis on ML, data pipelines, and GPU-enabled Linux environments.
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.
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.
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.
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.
At Path Robotics we love coming to work to solve interesting and tough challenges but also because our ideas are welcomed and valued. We encourage unique thinking and are dedicated to creating a diverse and inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you require a reasonable accommodation to participate in the application process or any part of the hiring process, please contact HR@path-robotics.com. We are committed to providing equal access and will work with qualified individuals to ensure a fair and accessible hiring experience. We will respond to your request within 48 hours.