Senior Software Engineer, ROS Engineer (Robotics)

Location: Irvine, California, United States; on-site

Salary: $180,000–$250,000 per year

Company

hirify.global develops risk-aware, field-ready embodied AI and robotics systems for real-world industrial deployments.

What you will do

• Develop, maintain, and deploy ROS/ROS2 packages for navigation, mapping, control, and robotic autonomy.
• Integrate and calibrate LiDAR, thermal, RGB, depth, GPS, and IMU sensors for autonomous missions.
• Build modular autonomy APIs interfacing with SLAM, path planning, and mission logic.
• Implement and optimize real-time data processing pipelines in C++ and Python.
• Collaborate with perception engineers to integrate AI-driven insights into robotic decision-making.
• Design, test, troubleshoot, and improve autonomous behavior, diagnostics, and recovery systems on physical platforms in field environments.

Requirements

• Bachelor’s degree in Computer Science, Electrical Engineering, Robotics, or a related technical field.
• Strong production-quality software engineering skills with expertise in C++ and Python.
• Hands-on experience designing, building, and deploying custom ROS/ROS2 nodes in complex robotic systems.
• Understanding of localization, SLAM, sensor fusion, navigation, state estimation, and real-time processing.
• Experience with multimodal sensor data and system-level topics including networking, IPC, and middleware.
• Strong problem-solving, communication, independent working, and collaboration skills.

Nice to have

• Production deployment experience in construction, mining, oil and gas, or similar industries.
• Experience handling noisy sensor data and developing robust, resilient algorithms.
• Experience integrating robotics systems with web services, APIs, and cloud infrastructure.
• Experience optimizing software for computationally constrained platforms and real-time performance.

Culture & Benefits

• Work with real robots, hardware, and sensors in field deployments outside the lab.
• Comprehensive benefits and equity participation.
• Collaborate across AI, software, robotics engineering, product, field deployment, and technical communication teams.
• Inclusive workplace committed to evaluating candidates and employees based on merit, qualifications, and performance.