# Perception Engineer at Kovari

> Onsite · United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Akovari%3A50389640-5c56-43ee-9b5d-dae4efdd7ed2 (read 2026-11-14).

## 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 (182 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/50389640-5c56-43ee-9b5d-dae4efdd7ed2
- Skills listed (inferred): Python, C++, PyTorch

## Pay and sponsorship

- Posted pay: not posted
- Market band for similar posted roles (SF Bay Area, n 2174): p25 $161k, median $200k, p75 $240k

## 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 our perception stack end to end, from raw sensor data to representations used by learned policies and classical control. Your systems run on deployed robots and handle the messy realities of the field: variable lighting, glass and reflective surfaces, temporary obstacles, and repetitive architecture.

### What You'll Do

Build sensor fusion across cameras, depth, IMU, and proprioception

Own calibration, time synchronization, and sensor health monitoring

Develop localization, mapping, and scene understanding for real environments

Build detection, segmentation, and 3D representations for manipulation and navigation

Optimize perception for real-time inference on edge hardware

Debug field failures and drive fixes back into models and data

### What You Bring

Strong background in computer vision and 3D geometry

Experience shipping perception on real robots or vehicles

Experience with SLAM, state estimation, or multi-sensor fusion

Strong C++ and Python; PyTorch for learned components

Experience with edge inference (TensorRT, ONNX Runtime, or similar)

Bonus: publications at CVPR, ICRA, CoRL, RSS, or similar

Bias toward action: test early, measure, fix what breaks

### 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%3A50389640-5c56-43ee-9b5d-dae4efdd7ed2 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.