Computer Vision & Robotics Navigation Engineer

Location: On-site in New York City, United States; physical presence is required for hardware testing and local prototyping with custom multi-sensor camera rigs.

Salary: $150,000–$185,000 per year, plus equity.

Company

hirify.global builds data infrastructure for robotics and embodied AI, including systems for collecting, labeling, and validating real-world visual and spatial data.

What you will do

• Own, maintain, optimize, and improve SLAM, VIO, and Structure from Motion pipelines across custom camera rigs and iPhones.
• Define, validate, and troubleshoot intrinsic and extrinsic calibration requirements for multi-camera systems and IMUs.
• Address temporal synchronization, rolling shutter correction, IMU pre-integration, noise modeling, and trajectory robustness.
• Collaborate with the hardware team in China on sensor calibration and hardware-related navigation challenges.
• Provide computer vision support for preprocessing, postprocessing, data validation, and automated labeling.
• Build internal tools with technologies such as Gradio and Rerun to visualize images, video, point clouds, trajectories, and spatial labeling failures.

Requirements

• Strong experience in 3D computer vision, multi-view geometry, SLAM, VIO, or SfM pipelines.
• Deep knowledge of IMU kinematics, noise density, random-walk bias, camera calibration, lens distortion, and sensor fusion.
• Experience with spatial data from custom camera rigs and mobile devices, including iPhones.
• Strong foundations in linear algebra, optimization, traditional computer vision, and spatial tracking.
• Production software engineering experience with clean, efficient, scalable code, especially in C++ and Python.
• Ability to collaborate across time zones and communicate technical calibration requirements with hardware teams.

Nice to have

• Experience building dataset browsers, annotation tools, model debugging dashboards, or Gradio-style computer vision applications.
• Experience with calibration and sensor fusion frameworks such as Kalibr.
• Exposure to machine learning infrastructure or large-scale data pipelines.

Culture & Benefits

• Direct impact on how real robots are trained and navigate the world.
• High ownership over spatial data, navigation systems, and company-wide computer vision support.
• Close collaboration with robotics companies and AI labs.
• Opportunity to build a multimodal tooling layer for robotics data operations.
• Equity included in the compensation package.