Software Engineer – ML Infrastructure
Path Robotics10 hours ago
Columbus, OH, USAMid Level / Senior
H1B sponsor
Responsibilities
- Build and maintain software infrastructure for 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 AI model deployment onto robotic systems through simulation, hardware integration, runtime monitoring, and field-data feedback loops.
- Build internal tools for dataset exploration, testing, evaluation, and AI productionization.
- Partner with AI researchers and robotics engineers to turn model requirements into robust, scalable software systems.
Requirements
- 3–6 years of software engineering experience with exposure to ML infrastructure, MLOps, or AI-enabled systems.
- Strong production software development skills in Python.
- Experience with PyTorch and practical understanding of systems supporting AI model development.
- Comfort with data pipelines, simulation environments, containerized workflows, GPU compute, and Linux environments.
- Experience with C++, ROS, or robotics software stacks is ideal.
- Ability to work across AI and robotics from data collection and testing through deployment on real systems.
Benefits
- Daily free lunch.
- Flexible paid time off.
- Medical, dental, and vision coverage.
- Six weeks of fully paid parental leave, plus an additional 6–8 weeks for birthing parents.
- 401(k) retirement plan through Empower.
- Employee referral bonuses.
About Path Robotics
Path Robotics builds AI-driven robotic welding systems that autonomously plan and execute welds for metal fabrication and industrial manufacturers. The privately held company, founded in 2014 and headquartered in Columbus, Ohio, sells turnkey welding cells and software with support services, and is expanding into naval and defense fabrication compliant with NAVSEA codes.