# Software Engineer, Data at Kovari

> Onsite · United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Akovari%3A8eb87587-8a2d-4c8b-9cf7-aed90772121f (read 2026-11-10).

## Facts (observed)

- Company: [Kovari](https://alderhq.app/companies/kovari)
- Location text: San Francisco
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco")
- Posted: 2026-05-16 (178 days ago)
- First seen by alder: 2026-11-07 · last verified: 2026-11-08
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/kovari/8eb87587-8a2d-4c8b-9cf7-aed90772121f
- Skills listed (inferred): Python, AWS, GCP, Spark

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (SF Bay Area, n 1752): p25 $161k, median $200k, p75 $239k

## Description (the employer's text)

### About Kovari

Kovari 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 Role

You 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 Do

Build ingestion pipelines for robot logs, teleoperation, video, depth, force/torque, and proprioception

Design storage, indexing, and retrieval for multimodal datasets at scale

Build tools for labeling, filtering, search, and dataset curation

Own training data infrastructure: versioning, lineage, and reproducibility

Build evaluation pipelines that tie field performance back to data

Work with research and operations to close the loop from failure to fix

### What You Bring

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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Akovari%3A8eb87587-8a2d-4c8b-9cf7-aed90772121f and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.