Path Robotics

Path Robotics

Path Robotics creates truly autonomous robots for manufacturing, eliminating the need for skilled welders or robot programmers and allowing humans to focus on creativity.

Automotive
51-250
Founded 2014
$71M raised

Description

  • Architect and build the end-to-end data platform, including ingestion, transformation, orchestration, quality monitoring, and data access layers.
  • Lead efforts to break down data silos and improve collaboration across business domains.
  • Design optimized database architecture and data schemas for large-scale multi-modal data.
  • Implement scalable ETL/ELT pipelines for experimentation, training, validation, and real-time deployment.
  • Collaborate with machine learning and robotics engineers to deliver the data infrastructure needed for model development and deployment.
  • Establish data governance, reproducibility, lineage, and traceability standards.
  • Develop data contracts and API specifications for reliable data exchange between systems and downstream applications.
  • Write production-grade Python and SQL for critical data workflows.
  • Help shape MLOps, observability, and CI/CD practices for continuous learning systems in physical environments.

Requirements

  • 5+ years of experience in data engineering with a track record of building scalable data systems and infrastructure from the ground up.
  • 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 AWS, Snowflake, Dagster, dbt, or equivalent modern data stack tools.
  • Experience with streaming technologies such as Kafka, Flink, or similar real-time data processing platforms.
  • Experience with data quality, observability, and production monitoring of data systems.
  • Comfort operating in ambiguity and taking ownership of foundational work.
  • Bonus: experience working with sensor data, robotics logs, time series, or other high-volume real-world datasets.
  • Ability to comply with U.S. export control regulations and applicable federal requirements, including FAR, DFARS, ITAR, EAR, and CUI handling where required.
  • Employment may be contingent upon successful completion of a background check consistent with applicable requirements.

Benefits

  • Daily free lunch.
  • Flexible PTO.
  • Comprehensive medical, dental, and vision coverage.
  • 6 weeks of fully paid parental leave, plus an additional 6–8 weeks for birthing parents.
  • 401(k) retirement plan through Empower.
  • Generous employee referral bonuses.

Interested in this position?

Apply directly on the company website

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