Automotive System Engineer

Location: Sunnyvale, California, USA

Company

hirify.global develops embodied AI software and foundation models for mapless, hardware-agnostic automated driving systems.

What you will do

• Design L2/L3 automotive-grade systems and define how hirify.global’s autonomy solution integrates with future OEM vehicle infrastructures.
• Define, manage, and maintain traceable system requirements for automated driving and ADAS products.
• Create and validate real-world driving scenarios using data-driven development, KPIs, and behavioral specifications.
• Collaborate with product managers, software developers, hardware, solutions, and architecture teams.
• Support vehicle integration and perform hands-on system and vehicle-level testing, including HIL-related test specifications.
• Diagnose system issues, coordinate problem resolution, and contribute to continuous improvements in L2+/L3 and ADAS technologies.

Requirements

• 5+ years of experience in systems engineering, automotive development, or a related field.
• Experience defining and managing requirements for complex systems, preferably in ADAS or automated driving.
• Proficiency with requirements and systems engineering tools such as Jama, DOORS, MATLAB/Simulink, or Enterprise Architect.
• Strong understanding of automotive sensors, software integration, vehicle dynamics, system validation, and real-world troubleshooting.
• Bachelor’s or Master’s degree in Systems Engineering, Automotive Engineering, Computer Science, or a related field.
• Strong problem-solving, communication, collaboration, and hands-on engineering skills.

Nice to have

• Familiarity with ISO 26262 and SOTIF automotive safety standards.
• Knowledge of AI and machine learning frameworks, data-driven testing, KPI generation, and tracking.
• Automotive software development experience with C/C++ and/or Python.
• Experience validating AI components through edge-case scenario testing and robustness assessment.

Culture & Benefits

• Inclusive, diverse, fair, and respectful working environment.
• Support for accommodations and adjustments during the interview process.
• Opportunity to work on embodied AI and automated driving technologies.

Hiring process

• Accommodations or adjustments can be requested to participate fully in interviews.
• CV information may be used to pre-fill the application form.