Senior Autonomy Engineer (Localization)

TL;DR

Senior Autonomy Engineer (Localization): Designing and optimizing state-of-the-art localization software for autonomous vehicles with an accent on state estimation, SLAM, and multi-modal sensor fusion. Focus on architecting scalable spatial awareness capabilities, solving complex system-level failures, and improving robustness in challenging urban environments.

Location: Remote (USA)

Salary: $160,000 - $200,000 USD

Company

hirify.global is transforming cities through autonomous technology to create a safer, greener, and more accessible world via innovative Multi-Policy Decision Making (MPDM) technology.

What you will do

• Design, implement, and optimize localization systems for diverse scenarios, including GPS-denied urban canyons and high-density areas.
• Architect future autonomy systems to ensure world-class state estimation and spatial awareness capabilities.
• Solve complex system-level issues arising from the interplay between software and hardware components.
• Lead code quality initiatives through comprehensive design and code reviews.
• Optimize system performance regarding CPU, memory, and network usage.
• Mentor junior autonomy engineers to improve their effectiveness with the system.

Requirements

• Minimum 5 years of industry experience in autonomous robotics focusing on State Estimation, Localization, or SLAM.
• Strong programming skills in C/C++.
• Expertise in probabilistic robotics, multi-modal sensor fusion, and sensor calibration.
• Experience taking components from initial research and algorithm design through the full product lifecycle.
• Bachelor's degree in Robotics, Computer Science, Computer Engineering, or an applied engineering field.
• Must be based in the USA.

Nice to have

• 10+ years of experience in autonomous robotic systems.
• Hands-on experience with factor graph libraries such as GTSAM, Ceres, or g2o.
• Advanced degree (Masters or PhD) in Robotics or Computer Science.
• Previous experience in a startup or high-performance R&D environment.

Culture & Benefits

• Opportunity to work on a cutting-edge autonomy system with real-world impact.
• Collaborative environment focused on solving complex technical challenges independently.
• Exposure to full-stack vehicle architecture, including hardware, middleware, and compute platforms.
• Minimal travel requirements (1%-10%).