Software Engineer ML Infrastructure
Path RoboticsVisit Path Robotics website
Path Robotics develops physical-AI robotic welding systems for manufacturing.
Columbus, United States
Funding history
About Path Robotics
Path Robotics builds autonomous welding cells and mobile welding systems powered by its Obsidian AI model, which uses real-time sensing and adaptation to weld variable industrial parts.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will build and maintain infrastructure for AI and machine learning workflows. You will develop data pipelines, deploy models to robotic systems, create internal AI engineering tools, and translate model requirements into reliable, scalable production software.
Requirements
- 3–6 years of software engineering experience
- Experience with ML infrastructure, MLOps, or AI-enabled systems
- Production Python experience
- Experience with PyTorch
- Understanding of software systems supporting AI model development
- Experience with data pipelines, simulation environments, containerised workflows, GPU compute, and Linux
- Experience with C++, ROS, or robotics software stacks is preferred
Responsibilities
- Build and maintain infrastructure for robot learning, model training, experiment tracking, versioning, and deployment
- Develop tools and pipelines for collecting, processing, and curating robotic sensor and telemetry data
- Support AI model deployment through simulation, hardware integration, runtime monitoring, and field-data feedback loops
- Build internal tools for dataset exploration, testing, evaluation, and productionisation
- Translate model requirements into robust and scalable software systems
Benefits
- Daily free lunch
- Flexible PTO
- Medical, dental, and vision coverage
- 6 weeks of fully paid parental leave, plus an additional 6–8 weeks for birthing parents
- 401(k) retirement plan through Empower
- Employee referral bonuses