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# Software Engineer, Data

- **Company:** Kovari LLC
- **Location:** San Francisco, CA, United States
- **Contract:** Permanent contract
- **Skills:** Training Data, Amazon Web Services, Cloud Storage, Python (Programming Language), Machine Learning, Software Engineering, Management of Software Versions, Parquet, Data Ingestion, Evaluation Pipelines, Apache Spark, Indexer, Data Pipelines
- **Published:** October 17, 2026
- **Apply:** https://www.careerbuilder.com/job-details/software-engineer-data-san-francisco-ca--ebdbdbb8-a7c9-443a-abb6-c2076bfd0157

## About the Role

* Strong software engineering in Python and at least one systems language
 * Experience building large-scale data pipelines (Spark, Ray, Beam, or similar)
 * Familiarity with cloud storage and compute (AWS, GCP) and columnar formats (Parquet, Arrow)
 * Experience with time-synchronized sensor or video data
 * Bonus: ML training infrastructure or robotics data experience
 * Bias toward action: ship fast, measure, iterate

Values

 * Pace of learning trumps everything.
 * Relentless refinement of our craft.
 * Low ego, high ownership.
 * All-in on the mission. We work in person, and this isn't a 9-to-5.

## Description

About KovariKovari develops frontier technology to transform physical businesses. We partner with established operators to change how they run, and we build and operate businesses of our own through our subsidiaries.We are a small team of builders, operators, and researchers. We deploy on site, alongside the businesses we serve, and iterate in the field. We have raised over $6M from leading investors.We are based in San Francisco and work in person.The RoleYou will own the data flywheel that trains our robots, from collection on deployed fleets to curated datasets ready for training. Your pipelines turn messy real-world data into the fuel for every policy we ship.What You'll DoBuild ingestion pipelines for robot logs, teleoperation, video, depth, force/torque, and proprioceptionDesign storage, indexing, and retrieval for multimodal datasets at scaleBuild tools for labeling, filtering, search, and dataset curationOwn training data infrastructure: versioning, lineage, and reproducibilityBuild evaluation pipelines that tie field performance back to dataWork with research and operations to close the loop from failure to fixWhat You BringStrong software engineering in Python and at least one systems languageExperience building large-scale data pipelines (Spark, Ray, Beam, or similar)Familiarity with cloud storage and compute (AWS, GCP) and columnar formats (Parquet, Arrow)Experience with time-synchronized sensor or video dataBonus: ML training infrastructure or robotics data experienceBias toward action: ship fast, measure, iterateValuesPace of learning trumps everything.Relentless refinement of our craft.Low ego, high ownership.All-in on the mission. We work in person, and this isn't a 9-to-5.