Staff Computer Vision Engineers are responsible for the comprehensive lifecycle of Point One’s spatial AI and visual navigation features, overseeing everything from initial camera integration and image processing to high-level architectural and algorithmic design.
You will conceptualize and drive complex technical challenges end-to-end
from early architecture through deployment in mission-critical systems
while raising the technical bar across the team.
Designing solutions robust to visually challenging environments, optimizing models for compute-constrained edge devices, and ensuring our algorithms stay thoroughly tested, verified, and production-ready as we scale.
Successful translation of state-of-the-art CV and SLAM techniques into highly performant, production-grade algorithms.
Establishing rigorous benchmarking pipelines to objectively evaluate internal algorithms against commercial OTS solutions and vendor offerings.
Automatically generating and maintaining accurate, semantically rich maps of complex indoor environments with minimal manual intervention.
Ensuring real-time localization and multi-agent tracking (assets, robots, people) are highly robust, minimizing latency and identity switches even in dynamic or visually degraded conditions.
Collaborating tightly with infrastructure and UI engineers to manage data products, render maps, and track assets for end users.

7+ years of professional algorithm and software development experience, with significant depth in applied research, computer vision, or robotics.
Expertise in modern C++ (C++14 or later) and Python, with a demonstrated history of success of taking AI model prototypes (PyTorch, TensorFlow) and turning them into scalable, real-time production systems.
Expertise in ROS1/ROS2.
Hands-on experience with Visual SLAM, 3D reconstruction, and mapping architectures.
Experience in deploying semantic segmentation/object detection in real-world environments.
Experience with multi-view geometry, camera calibration, and fusing vision with other sensor modalities (IMU, GNSS).
Ability to take high-level research and business goals and decompose them into actionable engineering tasks, realistic schedules, and clear milestones.
MS or PhD in Computer Science, Robotics, or equivalent experience.

Staff Computer Vision Engineer

Key skills