Senior Software Engineer, Machine Learning

At Path Robotics were 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.

Were 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. Youll 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.

• 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 technical teams.
• Proven experience with cloud-based development including designing and managing data storage persistence and secure access in cloud environments and integrating on-premises infrastructure with cloud services.
• Excited to learn ML/CV/robotics workflows well enough to support them but your superpower is building great software not tuning models.
• Thrive in collaborative environments where youre a bridge between research and production.

• 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 68 weeks for birthing parents (1214 weeks total)
• 401(k) retirement plan through Empower
• Generous employee referral bonuseshelp us grow our team!