Staff Computer Vision Engineer (SLAM)

Location: Hybrid; San Francisco HQ, San Diego, or the Bay Area, United States

Salary: $215,270–$265,800 annually, plus equity

Company

hirify.global develops API-first precision-location and navigation technology, including RTK correction networks and FusionEngine software for vehicles, robots, drones, and other devices.

What you will do

• Own the lifecycle of spatial AI and visual navigation features, from camera integration and image processing through architecture, algorithm design, deployment, and production operation.
• Research, evaluate, and integrate computer vision, deep learning, SLAM, 3D reconstruction, and spatial navigation methods for accurate large-scale indoor maps.
• Build semantic mapping pipelines that identify structural elements, zones, and objects, support dynamic map updates, and manage map versions and consistency.
• Develop rigorous benchmarking for accuracy, latency, compute footprint, and reliability across internal algorithms, commercial solutions, and vendor technologies.
• Improve real-time localization and multi-agent tracking by fusing camera data with GNSS, IMU, wheel odometry, and other positioning signals, including optimization for constrained edge devices.
• Collaborate with infrastructure and UI engineers, mentor junior engineers, and contribute to architecture, 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.
• Expertise in modern C++14 or later and Python, including productionizing AI prototypes built with PyTorch or TensorFlow.
• Expertise with ROS1 or ROS2, Visual SLAM, 3D reconstruction, mapping architectures, multi-view geometry, and camera calibration.
• Experience deploying semantic segmentation and object detection in real-world environments, and fusing vision with IMU and GNSS data.
• Ability to turn research and business goals into actionable engineering plans, schedules, and milestones.
• MS or PhD in Computer Science, Robotics, or equivalent experience.

Nice to have

• Experience optimizing vision models for edge devices with TensorRT, ONNX, or platform-specific accelerators.
• Experience with multi-object tracking and ReID in dynamic environments.
• Familiarity with large-scale point clouds, mesh generation, NeRFs, or Gaussian Splatting.

Culture & Benefits

• High autonomy and ownership over complex technical challenges.
• Fast-paced, action-oriented environment focused on speed and efficient execution.
• Opportunities for professional growth and advancement through internal promotion.
• Collaborative, low-ego culture with direct communication and strong individual accountability.
• Equity included in the compensation package.