Senior Data Engineer, Path Robotics
ML Ops
Fully autonomous welding robots
Open for applications
Fully autonomous welding robots
101-200 employees
Open for applications
101-200 employees
Company mission
To enable robots to build, so humans can create.
Role
Who you are
- 5+ years of experience in data engineering, with a strong track record of building scalable data systems and infrastructure from the ground up
- Previous experience supporting AI/ML teams with data platforms in fast-paced or startup environments
- Deep proficiency in SQL, Python, and distributed data systems
- Hands-on experience with tools like AWS, Snowflake, Dagster, dbt, or equivalent modern data stack
- Experience with streaming technologies such as Kafka, Flink, or similar platforms for real-time data processing
- Passionate about building clean, reliable data pipelines that power real-time ML and robotics workflows
- Experience with data quality, observability, and production monitoring of data systems
- Comfortable operating in ambiguity and taking ownership. You’re excited to build and own the foundation of a data-first company
- Bonus: experience working with sensor data, robotics logs, time series, or other high-volume real-world datasets
What the job involves
- This is a founding-level opportunity to lay the groundwork for our entire data infrastructure and build the data team. Reporting to the Director of AI, you’ll collaborate with a talented team of machine learning engineers and software engineers to deliver clean, reliable, and scalable data pipelines that fuel experimentation, production models, and cutting-edge AI development
- Architect and build our end-to-end data platform, including ingestion, transformation, orchestration, quality monitoring, and data access layers
- Lead initiatives that break down data silos and enable seamless collaboration between business domains
- Design and develop optimized database architecture and data schemas with strategic partitioning for large scale multi-modal data
- Implement scalable ETL/ELT pipelines that serve experimentation, training, validation, and real-time deployment needs across robotics and AI systems
- Collaborate with ML and robotics engineers to define and deliver the data infrastructure required for cutting-edge model development and real-world deployment
- Establish data governance, reproducibility, and lineage standards to ensure data integrity and traceability at scale
- Develop data contracts and API specifications to ensure reliable data exchange between robotics systems, ML models, and downstream applications
- Write production-grade, maintainable, and well-documented Python and SQL code for critical data workflows
- Help shape our MLOps, observability, and CI/CD practices for continuous learning systems in physical environments
Our take
When it comes to the development and implementation of AI, America leads the way. Yet in manufacturing, it's falling behind. The shortage of factory workers is indeed an ongoing crisis, which is why Path Robotics looks to address these issues with its fleet of robotic systems that help to fill gaps in the manufacturing industry.
Path Robotics combines computer vision, artificial intelligence and machine learning to create robots that can help fit and weld parts in factories. For example, its AF1 Welding Robot can pick, fit and weld small parts, continuously improving and adapting to factory conditions. This allows human workers to focus less on menial tasks in the construction line.
An important factor of the company's approach is the minimized need for oversight, thus freeing up workers for other jobs. Path Robotics' prescient solution to a critical problem has helped it raise massive amounts of funding to date, helping to solidify its position. It has also signed an R&D deal with the nation's largest shipbuilder, where its robots will help build US Navy vessels.
Steph
Company Specialist at Welcome to the Jungle
Insights
Company
Funding (last 2 of 5 rounds)
Oct 2024
$100m
SERIES D
Jul 2021
$100m
SERIES C
Total funding: $271m
Company benefits
- Unlimited PTO
- Parental leave – 100% pay for 8 weeks
- Medical, Dental and Vision Insurance
- 401 (K) Retirement Savings Plan
- Early stage equity
- Mental and Physical Wellness Stipend
- Daily Lunch Stipend
Company HQ
Brookhollow, Columbus, OH
Leadership
Andrew Lonsberry
(Co-Founder & CEO)Previously a Graduate Teaching Assistant at Case Western Reserve University and a Robotics Engineer Intern at IHMC.
Alex Lonsberry
(Co-Founder & CEO)Previously a Teaching Assistant at Case Western Reserve University and an Engineering Intern at Horsburgh & Scott.
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