Software Engineer – ML Infrastructure

Posted 11 Days Ago
Columbus, OH, USA
In-Office
Mid level
Artificial Intelligence • Computer Vision • Machine Learning • Robotics • Business Intelligence • Automation • Manufacturing
At Path Robotics, we’re not just solving a manufacturing challenge. We’re solving a recruiting problem.
The Role
Build and maintain ML infrastructure for robot learning, including training pipelines, experiment tracking, model versioning, deployment, sensor-data processing, simulation, monitoring, and feedback systems. Develop internal tools for dataset exploration, testing, evaluation, and productionization. Partner with AI researchers and robotics engineers to deliver scalable software supporting AI models from data collection through deployment on robotic systems.
Summary Generated by Built In
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.
Why You'll Love It Here
  • Daily free lunch to keep you fueled and connected with the team
  • Flexible PTO so you can take the time you need, when you need it
  • Comprehensive medical, dental, and vision coverage
  • 6 weeks fully paid parental leave, plus an additional 6–8 weeks for birthing parents (12–14 weeks total)
  • 401(k) retirement plan through Empower
  • Generous employee referral bonuses—help us grow our team!
Who We Are

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 [email protected]. 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.

Skills Required

  • 3-6 years of software engineering experience
  • Experience with ML infrastructure, MLOps, or AI-enabled systems
  • Strong production software development in Python
  • Experience with PyTorch
  • Practical understanding of software systems supporting AI model development
  • Experience with data pipelines
  • Experience with simulation environments
  • Experience with containerized workflows
  • Experience with GPU computing in Linux environments
  • Experience with C++
  • Experience with ROS or robotics software stacks

Path Robotics Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Path Robotics and has not been reviewed or approved by Path Robotics.

  • Fair & Transparent Compensation — Pay is considered competitive overall, with engineering and sales roles positioned strongly against the market. Compensation in these tracks is frequently characterized as above average relative to peers.
  • Healthcare Strength — Core medical, dental, and vision coverage is described as comprehensive and well regarded. Employer-verified listings indicate robust plan options alongside FSA/HSA support.
  • Leave & Time Off Breadth — Unlimited PTO, paid holidays, and paid parental leave are highlighted across public benefits summaries. Time-off policies are framed as flexible and generous for a company at this stage.

Path Robotics Insights

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The Company
HQ: Columbus, OH
220 Employees
Year Founded: 2016

What We Do

Path Robotics is an Artificial Intelligence and Robotics company focusing on the manufacturing industry.

Why Work With Us

Distinguishing ourselves from other tech startups, we work with a physical product — the robots. This keeps us rooted in our Columbus, Ohio office and fosters a culture of in person collaboration and ideation.

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