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Staff Computer Vision Engineer

Point One NavigationSan Francisco HQEngineering
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Salary
$215,270 - $265,800 USD
Job type
Full-time
Work mode
Remote
Posted
11 Jul 2026
Status
Open · checked 7d ago

About this role

Role Overview

The Staff Computer Vision Engineer at Point One Navigation is a vital engineering role responsible for the complete lifecycle of spatial artificial intelligence and visual navigation features. This position is based out of the San Francisco headquarters with remote flexibility, perfectly suited for an experienced algorithm developer seeking total ownership over mission-critical systems.

Key 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 computer vision algorithms to extract semantic information from physical environments.
Design and own a rigorous benchmarking framework to continuously evaluate internal code against off-the-shelf and vendor technologies.
Drive performance tuning for edge deployment to guarantee tracking algorithms run with low latency and high reliability on constrained compute architectures.
Collaborate closely with infrastructure and user interface engineers to manage data products, render maps, and track assets.
Mentor junior engineers, establish best practices, and contribute to architecture discussions and technical strategy.

Requirements

Minimum of 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.
Demonstrated history of successfully transitioning artificial intelligence model prototypes from PyTorch or TensorFlow into scalable, real-time production systems.
Hands-on experience with ROS1 or ROS2, Visual SLAM, 3D reconstruction, and mapping architectures.
Experience in deploying semantic segmentation and object detection in real-world environments.
Familiarity with multi-view geometry, camera calibration, and sensor fusion combining vision with IMU and GNSS.
Possess a Master of Science or Doctor of Philosophy degree in Computer Science, Robotics, or equivalent practical experience.

Nice to Have

Background in deploying optimized vision models to edge devices using TensorRT, ONNX, or platform-specific accelerators.
Experience deploying multi-object tracking and ReID architectures in dynamic environments.
Familiarity with managing large-scale point clouds, mesh generation, Neural Radiance Fields, or Gaussian Splatting.

Skills and Tools

Python
PyTorch
TensorFlow
C++
Computer Vision
ROS1 / ROS2
Visual SLAM

Salary and Benefits

Annual Salary Range: $215,270 to $265,800 USD

About the Company

Point One Navigation specializes in precision location technology through an API-first and developer-focused platform. Utilizing RTK corrections networks and FusionEngine software, the company delivers centimeter-level accuracy for vehicles, robots, drones, and devices. The organization values speed, high output, edge innovation, and a customer-first mindset.

How to Apply

Interested candidates should visit the official Point One Navigation careers page to submit an application and join the team.

Skills and tech stack

PythonPyTorchTensorFlowC++Computer Vision

Questions candidates ask

What is the location of the Staff Computer Vision Engineer role?

The role is based at the San Francisco headquarters with remote options available.

What is the salary range for this position?

The annual salary ranges from $215,270 to $265,800 USD.

How many years of experience are required?

Candidates must have 7+ years of professional algorithm and software development experience.

What programming languages are required?

The role requires expertise in modern C++ (C++14 or later) and Python.

How should I apply for the job?

Candidates should apply directly on the official Point One Navigation careers page.

Ready to apply?

The application is on the official Point One Navigation careers page.

Apply on company site