System Architect - Sensors (AI)

TL;DR

System Architect - Sensors (AI): Defining and integrating sensor systems for end-to-end autonomy stacks with an accent on system-level sensing requirements, hardware-software boundary optimization, and production vehicle integration. Focus on translating driving use cases into quantitative KPIs, ensuring sensor performance across ODDs, and leading architectural decisions for OEM programs.

Location: Must be based in or able to work from Sunnyvale, CA or Tel Aviv (Hybrid policy applies).

Company

hirify.global is a leading developer of Embodied AI technology, creating mapless and hardware-agnostic AI products for automated driving systems.

What you will do

• Define sensor system requirements based on driving use cases, safety goals, and product constraints.
• Develop end-to-end sensing concepts including modality, placement, coverage, and redundancy.
• Co-develop sensor system concepts with hardware and core algorithm teams, focusing on imaging pipelines and system integration.
• Define sensor layout and integration strategies for production vehicle platforms.
• Validate sensor system performance using fleet data, simulation, and program-specific testing.
• Act as the technical owner of sensor system architecture in OEM programs, balancing performance, cost, and scalability.

Requirements

• Strong experience defining sensor systems at the system level, including integration into production vehicle architectures.
• Proven track record of translating driving use cases into validated system performance.
• Solid understanding of camera systems (ISP pipelines, calibration, HDR) and radar/LiDAR fundamentals.
• Experience collaborating across hardware and software domains to co-develop technical concepts.
• Ability to reason across autonomy performance, safety standards (ISO 26262 / SOTIF), and production constraints.
• Strong communication skills to influence cross-functional teams and OEM/Tier1 stakeholders.

Nice to have

• Experience leading sensor system architecture in production ADAS/AV programs.
• Familiarity with ML-based perception systems and their implications on sensing.
• Experience with fleet data analysis, simulation, and replay-based validation workflows.
• Background in OEM or Tier1 co-development environments.

Culture & Benefits

• Inclusive and diverse work environment that values new perspectives.
• Hybrid working policy combining office collaboration with remote flexibility.
• Opportunity to work on groundbreaking Embodied AI technology for the automotive industry.
• Focus on solving complex, high-impact challenges in a fast-paced environment.