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About the Role

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. This is an ownership-first role where you will conceptualize and drive complex technical challenges end-to-end, while raising the technical bar across the team. The R&D team ensures vision and perception systems work reliably across a wide range of devices and platforms, designing solutions robust to challenging environments, optimizing models for edge devices, and ensuring algorithms are production-ready.

Responsibilities

Lead the research, evaluation, and selection of state-of-the-art computer vision, deep learning, and spatial navigation methodologies.
Develop or integrate deep learning and classical CV algorithms to extract semantic information from environments.
Ensure maps can be dynamically updated over time, enabling map version management and consistency.
Design and own a rigorous benchmarking framework to continuously evaluate algorithm performance.
Rapidly prototype new perception capabilities and architect their transition into production code, or integrate third-party modules.
Collaborate with infrastructure and UI engineers to manage data products, render maps, and track assets.
Use camera data with other sensor data to maintain high-confidence state estimation for moving agents.
Drive performance tuning for edge deployment to ensure tracking algorithms run with low latency on constrained compute architectures.
Proactively identify failure modes in tracking and mapping and design robust algorithmic fallbacks.
Mentor junior engineers and establish best practices across the team.
Contribute to architecture discussions, technical strategy, and roadmap planning.

Requirements

7+ years of professional algorithm and software development experience, with significant depth in applied research, computer vision, or robotics.
Demonstrated history of success taking AI model prototypes (PyTorch, TensorFlow) and turning them into scalable, real-time production systems.
Ability to take high-level research and business goals and decompose them into actionable engineering tasks, realistic schedules, and clear milestones.

Skills

Modern C++ (C++14 or later)
Python
ROS1/ROS2
Visual SLAM
3D reconstruction
Mapping architectures
Semantic segmentation/object detection deployment
Multi-view geometry
Camera calibration
Sensor fusion (IMU, GNSS)
Optimized vision models for edge devices (TensorRT, ONNX, platform-specific accelerators)
Multi-object tracking
ReID architectures
Large-scale point clouds
Mesh generation
NeRFs/Gaussian Splatting

Location

Remote

Work Type

Full-time

Experience Level

Staff level
7+ years

Education Level

MS or PhD in Computer Science, Robotics, or equivalent experience

About the Company

Point One Navigation is on a mission to bridge the digital and physical worlds through precision location, with an API-first, developer-focused approach.
Our RTK corrections network and FusionEngine™ software deliver centimeter-level accuracy and high-confidence positioning for vehicles, robots, drones, and devices across industries in outdoor applications.
We are actively broadening our expertise into indoor environments to provide the same high-standard localization and navigational quality for users everywhere.
Our cultural and operating design is built around moving with extreme speed and efficiency of effort to stay in a leadership position.
This environment gives people a high level of autonomy and the ability to make a real impact, challenging every team member to grow.
Opportunities for advancement are tremendous for those who seek them, as we focus on promoting from within.
What matters most is the job to be done today, not the job you want tomorrow.
We think about our culture in two dimensions: How We Show Up Every Day (Trust, High Output, Action Oriented, Divine Discontent, No Ego, One Team, Self Accountability) and Operating Principles (Edge Innovation, No Hierarchies, Customer Experience First).