Senior Software Engineer, Context Fusion, Multi-Vehicle Adaptation – Autonomous Vehicles

Role Overview

• Analyze, triage, and resolve complex Context Fusion issues across multiple NDAS programs and carlines, using replay tools, log-based diagnostics, and on-vehicle debugging.
• Develop and improve fusion logic that integrates perception outputs, map signals, and vehicle state into reliable driving-relevant environment representations.
• Adapt and tune Context Fusion modules across different vehicle platforms, sensor configurations, map providers, and regional driving environments, ensuring robust performance in real-world scenarios.
• Conduct on-vehicle validation, debugging, and performance tuning, including real-world issue reproduction and iteration on fixes.
• Design and develop testing tools, automation pipelines, and quality metrics to improve triage efficiency, enable cross-carline comparison, and scale engineering productivity.
• Evaluate fusion outputs and their impact on downstream planning, prediction, and active safety; identify gaps and propose practical solutions for production programs.
• Travel domestically and internationally for on-site vehicle testing and OEM collaboration as needed.

Requirements

• BS/MS, or equivalent experience in Computer Science, Computer Engineering, Robotics, Electrical Engineering, Mathematics, Physics, or a related discipline.
• Over 3 years of relevant industry experience in autonomous driving, robotics, perception, mapping, localization, sensor fusion, planning, active safety, or real-time embedded systems.
• Strong system-level debugging ability, with experience analyzing complex autonomous driving issues from logs, replays, metrics, visualization tools, or vehicle testing.
• Strong C/C++ programming skills, Solid background in 3D geometry, coordinate systems, state estimation, probabilistic modeling, numerical optimization, and real-time fusion systems.
• Experience supporting production programs, vehicle integration, parameter tuning, validation, or release readiness across multiple platforms, carlines, or customers.
• Ability to communicate technical analysis clearly in English.
• Strong collaboration and communication skills, including the ability to work effectively with global teams, OEM partners, and cross-functional stakeholders.