Platform Systems Engineer (Sensing and Perception, Maps and Localization)

TL;DR

Platform Systems Engineer (Sensing and Perception, Maps and Localization): Leading the end-to-end systems engineering lifecycle for sensing, perception, maps, and localization domains with an accent on architecting AV requirements and sensor fusion. Focus on mapping high-level safety goals to deployed architecture, optimizing sensor models in simulation, and resolving complex system-level bottlenecks.

Location: On-site in Phoenix, AZ / San Francisco, CA / Pittsburgh, PA

Company

hirify.global is a technology start-up building technologies to transform the way the world moves.

What you will do

• Lead the end-to-end systems engineering lifecycle for Sensing, Perception, Maps, and Localization domains.
• Architect AV requirements using analytical and numerical methods for sensing, perception performance, and pose estimation.
• Define and own contracts for sensor performance, calibration, data quality, and system degradation strategies.
• Act as the primary technical liaison between AI/software engineers, hardware engineers, and safety teams.
• Verify requirements using physical and simulated data and improve synthetic data generation for sensor models.
• Contribute to the system safety case and mentor junior and mid-level engineers within the Platform team.

Requirements

• 3+ years of industry experience in autonomous vehicles, robotics, or aerospace.
• Strong foundation in AV sensing (Lidar, Radar, Camera), perception algorithms, sensor fusion, and localization (GNSS/INS, SLAM, odometry).
• Deep knowledge of sensor physics, signal processing, and data acquisition/management.
• Expertise in Systems Engineering and Verification & Validation (V&V) best practices for Level 4 AV systems.
• Working knowledge of functional safety standards, specifically ISO 26262.
• Proficiency in Python, C++, or other languages used for data analysis and systems modeling.

Nice to have

• Experience with generative AI architectures or integrating ML-based perception algorithms into safety cases.
• Familiarity with SOTIF (ISO 21448) and handling unknown-unsafe scenarios.
• Applied experience building end-to-end perception or localization systems (e.g., object detection, HD map integration).
• Experience with sensor calibration and synchronization for commercial trucking or heavy machinery.
• Coding skills in Rust and experience with build and test automation tools.

Culture & Benefits

• Opportunity to join a talented team and make a significant impact in the future of transportation.
• Inclusive and accessible workplace that celebrates diversity across all backgrounds and identities.
• Supportive environment with reasonable accommodations for qualified individuals with disabilities.