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.
Skills Required
- Experience deploying robot policies on hardware
- Sim-to-real experience or working with real robot data
- Experience building policies with multimodal inputs (vision, depth, force/torque, proprioception)
- Experience with inference optimization on constrained edge devices (TensorRT, ONNX Runtime, or TVM)
- CUDA kernel optimization experience
- Experience optimizing policies for real-time (~10Hz) inference on edge hardware
- Contributions at major robotics/ML conferences (CoRL, RSS, ICRA, NeurIPS)
- Ability and willingness to work in-person in San Francisco
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.
