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Senior​/Software Engineer – Localization; Visual Odometry Mountain View, CA

Job in Jonesboro, Craighead County, Arkansas, 72402, USA
Listing for: Gatik Al, Inc.
Full Time position
Listed on 2026-02-12
Job specializations:
  • Software Development
    Robotics, Software Engineer, AI Engineer
Salary/Wage Range or Industry Benchmark: 170000 - 260000 USD Yearly USD 170000.00 260000.00 YEAR
Job Description & How to Apply Below
Position: Senior/Staff Software Engineer – Localization (Visual Odometry) Mountain View, CA
Overview

Senior/Staff Software Engineer – Localization (Visual Odometry) – Mountain View, CA

Who we are

Gatik, the leader in autonomous middle-mile logistics, is revolutionizing the B2B supply chain with its autonomous transportation-as-a-service (ATaaS) solution and prioritizing safe, consistent deliveries while streamlining freight movement by reducing congestion. The company focuses on short-haul, B2B logistics for Fortune 500 retailers and in 2021 launched the world’s first fully driverless commercial transportation service with Walmart. Gatik's Class 3-7 autonomous trucks are commercially deployed across major markets, including Texas, Arkansas, and Ontario, Canada, driving innovation in freight transportation.

The company's proprietary Level 4 autonomous technology, Gatik Carrier, is custom-built to transport freight safely and efficiently between pick-up and drop-off locations on the middle mile. With robust capabilities in both highway and urban environments, Gatik Carrier serves as an all-encompassing solution that integrates advanced software and hardware powering the fleet, facilitating effortless integration into customers' logistics operations.

About the role

We are looking for a Senior or Staff Software Engineer with a strong background in Visual Odometry (VO) and Localization to join our autonomy team. This role is critical to building precise, real-time vehicle localization systems using camera-based perception for autonomous driving applications. The ideal candidate has hands-on experience deploying VO systems in real-world environments, particularly in the autonomous vehicle (AV) domain, and brings solid C++ engineering skills to architect robust, high-performance software solutions.

This role is onsite 5 days per week at our Mountain View, CA office.

What you'll do
  • Design and develop real-time Visual Odometry pipelines using monocular, stereo, or RGB-D camera inputs.
  • Implement robust camera-based localization algorithms, including visual-inertial odometry (VIO), feature tracking, motion estimation, and scale recovery.
  • Integrate VO systems with IMU, GPS, and other sensor data to enhance pose estimation accuracy and stability.
  • Collaborate with the mapping, perception, and control teams to integrate localization with the AV software stack.
  • Develop and optimize production-quality code in modern C++ for real-time performance on embedded compute platforms.
  • Analyze system performance in diverse environmental conditions and drive improvements for reliability, accuracy, and robustness.
  • Participate in code reviews, mentor team members, and contribute to architectural decisions.
  • Stay up to date with the latest research in SLAM, VIO, and VO, and help transition promising techniques into production
What we're looking for
  • Bachelor’s or Master’s degree in Computer Science, Robotics, Electrical Engineering, or a related field.
  • 5+ years of experience in robotics, computer vision, or autonomy; 3+ years specifically in Visual Odometry or VIO.
  • Experience working on Autonomous Vehicle platforms (e.g., development, testing, or deployment of AV systems).
  • Expert proficiency in C++ (C++14/17/20) and modern software engineering best practices.
  • Solid understanding of epipolar geometry, camera calibration, bundle adjustment, and optimization techniques.
  • Hands-on experience with open-source VO/SLAM libraries such as ORB-SLAM, VINS-Fusion, OpenVINS, or similar.
  • Experience working with ROS/ROS2, Linux development environments, and version control systems.
Bonus Qualifications
  • Experience integrating visual odometry with Lidar, GPS, or map-based localization.
  • Knowledge of GPU acceleration techniques (CUDA/OpenCV/OpenGL) for computer vision pipelines.
  • Familiarity with real-world deployment constraints such as environmental variability, sensor degradation, and compute limitations.
  • Experience in sensor calibration, time synchronization, and data preprocessing pipelines.
  • Contributions to relevant open-source projects or publications in VO, VIO, or SLAM.

Salary Range - $170,000- $260,000

More about Gatik

Founded in 2017 by experts in autonomous vehicle technology, Gatik has rapidly expanded its presence to Mountain View, Dallas-Fort Worth,…

Position Requirements
10+ Years work experience
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