Automotive Systems Engineer (Autonomous Driving)

Location: Sunnyvale, California, USA; full-time hybrid role

Salary: $209,700–$311,400 per year, plus equity. A separate compensation range of $276,100–$293,750 is also listed.

Company

hirify.global develops an embodied AI platform for autonomous driving, integrating mapless and hardware-agnostic technology with vehicle manufacturers to support automation from L2+ through L4.

What you will do

• Define system requirements for L2+/L3 automated driving and ADAS products, aligning customer, business, and technical needs.
• Design system concepts and architectures integrating sensors, software, neural network execution, diagnostics, and vehicle control.
• Define driving scenarios, data collection needs, system behavior specifications, KPIs, and test requirements.
• Support vehicle implementation, integration, validation, and troubleshooting in real-world conditions.
• Analyze system performance, diagnose issues, and collaborate with software, hardware, product, architecture, solutions, and OEM customer teams.
• Improve engineering processes and help establish automotive-grade, requirements-based development practices.

Requirements

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

Nice to have

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

Culture & Benefits

• Hybrid working with in-person collaboration, remote focus time, core hours, and hands-on work in vehicle workshops and labs.
• Relocation support and visa sponsorship are available where applicable.
• Equity participation and annual market-based salary benchmarking.
• Learning and development budgets for training, conferences, and professional growth.
• Health, dental, parental leave, retirement or pension support where applicable, therapy access, wellbeing partnerships, and team socials.

Hiring process

• 30-minute recruiter screen.
• Hiring manager competency interview and three hours of systems and domain-specific technical interviews.
• One-hour final interview focused on mission and values alignment.