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.
Skills Required
- Strong software engineering fundamentals (clean, testable, well-structured code)
- Proficiency in Python
- Proficiency in C++
- Experience in Linux environments
- Comfort working close to hardware: serial protocols, device drivers, real-time constraints, embedded systems
- Experience with ROS or similar robotics middleware
- Ability to context-switch across the stack and learn new domains quickly
- Bias toward shipping and rapid iteration
- Experience with real-time systems, networking, or distributed architectures
- Familiarity with sensor integration (cameras, IMUs, LiDAR, encoders)
- Background in CI/CD, containerization, or fleet management for physical systems
- Exposure to ML infrastructure (data pipelines, model serving, training workflows)
- Prior work on robots that ran in real-world deployments
What We Do
Kovari Industries is a venture-backed company that develops general-purpose robots for the hospitality industry to handle physical, repetitive work. They aim to marry deep commercial understanding with fast-paced innovation to create intelligent machines that move the economy. The company focuses on rapid iteration, engineering rigor, and deploying real machines into real environments to solve the last-mile problem of robot proliferation in businesses.
