Path Robotics

Robotics

SeniorSoftwareEngineer,MachineLearning

Columbus, Ohio, United States Remote Friendly
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for Senior candidates.

The Brief

“Senior Software Engineer, Machine Learning at Path Robotics. Skills: Software architecture, Backend development, Cloud development. Architect production-grade Python systems. Lead engineering best practices”

What You'll Achieve.

Turn ideas into production-grade solutions; Make experimentation fast; Make prototyping fast; Make deployment fast; Keep codebase clean; Keep codebase maintainable; Abstract away infrastructure complexity

Industry & Context.

Robotics
Problems you'll solve

Solving ML, CV, and robotics problems

What They're Looking For.

Must Have

Software architecture, Large-scale backend development, Cloud-based development, Designing and managing data storage, Persistence, Secure access in cloud environments, Integrating on-premises infrastructure with cloud services

Nice to Have

Experience building developer tools, Frameworks, Platforms for technical teams, ML/CV/robotics workflows

What You'll Do.

Architect production-grade Python systems

Lead engineering best practices

Build internal tooling

Design CI/CD workflows

Act as a technical lead

How You'll Work.

Team & Collaboration

Work closely with research teams; Collaborate with data platform team; Thrive in collaborative environments; Bridge between research and production

Full Job Description

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. We’re looking for a Senior Software Engineer to be the architect and caretaker of our codebase, building the systems and tools that make it easy for our ML, CV, and robotics engineers to explore ideas and turn them into production-grade solutions. You’ll work closely with our research teams and our data platform team, leveraging their data and ML infrastructure expertise, while focusing on creating a robust, scalable, and developer-friendly foundation. What You’ll Do Architect production-grade Python systems that make experimentation, prototyping, and deployment fast, reliable, and low-friction for research teams. Lead engineering best practices around code quality, testing, modularity, and documentation to keep our codebase clean and maintainable. Build internal tooling, APIs, and libraries that abstract away infrastructure complexity so researchers can focus on solving ML, CV, and robotics problems. Collaborate with the data platform team to integrate data processing, training, and inference capabilities — without owning those pipelines end-to-end. Design CI/CD workflows for research-heavy Python projects to ensure smooth transition from prototype to production. Act as a technical lead within the research team, making key engineering decisions and mentoring others in writing high-quality, maintainable code. Who You Are Strong background in software architecture and large-scale backend development in any language (Python preferred) Have experience building developer tools, frameworks, or platforms for technic

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