Functional Safety Manager (Automotive AI)

Location: Santa Clara, CA; hybrid workplace

Salary: $160,000–$200,000 a year

Company

hirify.globalAI develops AI-based virtual driver software for factory-built autonomous trucks, with operations in the United States and Europe.

What you will do

• Coordinate with global engineering teams to define vehicle-level self-driving requirements.
• Define reliability and robustness requirements for the autonomous ECU, sensor set, and electrical interfaces.
• Conduct HARA, FMEA, and other safety reviews and analyses for autonomous systems and features.
• Work with data infrastructure teams to identify operational data for quantifying real-world performance.
• Represent hirify.global in customer-facing interactions with OEMs.
• Maintain compliance with the Quality Management System, monitor quality, and drive continuous process improvement.

Requirements

• Degree in computer science, mechanical engineering, electrical engineering, mechatronics, or a related field.
• Proficiency in English.
• At least 3 years of experience developing safety-critical embedded systems and at least 5 years of experience in automotive systems development or a similar field.
• Understanding of the automotive software development process.
• Extensive knowledge of ISO 26262 Automotive Functional Safety.
• Experience conducting safety reviews and analyses, including HARA, FTA, FMEA, and FMEDA.
• Working knowledge of ISO 21448 Safety of the Intended Function and UL 4600 Evaluation of Autonomous Safety.

Nice to have

• Experience designing automotive electrical and electronic systems.
• Experience with structured requirements management systems such as Jama, Polarion, or DOORS.

Culture & Benefits

• Opportunity to work in an innovative, future-oriented autonomous vehicle field.
• Personal and professional development opportunities.
• Catered free lunch, unlimited snacks, and beverages.
• Competitive salary and benefits package, including a 401(k) plan.
• Compensation may include cash and equity and is determined by position, location, qualifications, and experience.
• Artificial intelligence tools may support parts of the hiring process, while final hiring decisions are made by humans.