Robotics ML Infrastructure Engineer

Path Robotics; Columbus, Northern (OH, KY); Hybrid; USD 110,000 - 160,000; Full time

Benefits offered by this job

Free lunch

Flexible PTO

Medical, dental, and vision coverage

Parental leave 12–14 weeks total

401(k) retirement plan

Referral bonuses

Job summary

Path Robotics is hiring a Software Engineer to build and maintain the infrastructure for AI/ML workflows powering robotic systems. You’ll bridge the AI research team and production, creating tooling, pipelines, and deployment systems that move models from experiment to factory floor.

Ideal candidates have 3–6 years in software engineering with ML infrastructure, strong Python, PyTorch experience, and familiarity with robotics stacks like ROS.

Qualifications

• 3–6 years of software engineering experience with ML infrastructure, MLOps, or AI-enabled systems.
• Strong production Python software experience; experience with C++, ROS, or robotics stacks.
• Experience with PyTorch and understanding of systems to support AI model development.
• Familiar with data pipelines, simulation environments, containerised workflows, and GPU compute on Linux.

Responsibilities

• Build and maintain software infrastructure for robot learning, including model training, experiment tracking, versioning, and deployment.
• Develop pipelines/tools for collecting, processing, and curating large-scale robotic sensor data.
• Support deployment of AI models onto robotic systems, including simulation and hardware integration.
• Build internal tools to accelerate AI engineering workflows across dataset exploration, testing, evaluation, and productionization.
• Partner with AI researchers and robotics engineers to translate model requirements into robust software systems.

Skills

Python

C++

PyTorch

ROS

ML infra

MLOps

Data pipelines

Linux

GPU compute

Deployment

Tools

Docker

Job description

Path Robotics is hiring a Software Engineer to build and maintain the infrastructure for AI/ML workflows powering robotic systems. You’ll bridge the AI research team and production, creating tooling, pipelines, and deployment systems that move models from experiment to factory floor.

Ideal candidates have 3–6 years in software engineering with ML infrastructure, strong Python, PyTorch experience, and familiarity with robotics stacks like ROS.