Vehicle Systems Engineer (Robotics)

Location: San Francisco, United States; Workplace: On-site; work authorization: Eligible to work in the United States

Company

hirify.global develops autonomous, zero-emissions hauling vehicles using vision-based AI for freight and logistics.

What you will do

• Develop system architectures, interface definitions, integration plans, and system-level requirements for autonomous electric vehicle platforms.
• Lead cross-discipline integration across mechanical, electrical, and software subsystems.
• Analyze vehicle performance, safety, reliability, fault tolerance, and integration risks.
• Specify and source critical components while supporting design reviews and subsystem alignment.
• Plan and execute vehicle-level testing, validation, troubleshooting, and root cause analysis.
• Maintain requirements, test plans, technical reports, and other systems engineering documentation.

Requirements

• Bachelor’s degree in Mechanical Engineering, Electrical Engineering, Systems Engineering, Robotics, or a related field.
• 3+ years of experience in vehicle systems engineering, robotics platforms, or complex electromechanical systems.
• Experience integrating systems involving mechanical, electrical, and software components.
• Familiarity with requirements management, systems engineering, testing, validation, and troubleshooting.
• Strong analytical, problem-solving, communication, and cross-functional collaboration skills.
• Must be eligible to work in the United States.

Nice to have

• Master’s degree in Systems Engineering, Robotics, Mechanical Engineering, or a related discipline.
• Experience with passenger cars, commercial trucks, robotic vehicle platforms, or vendor-delivered components.
• Experience with chassis controls, drive-by-wire, electric powertrains, CAN, Ethernet, MATLAB/Simulink, or HIL testing.
• Background in safety-critical systems, functional safety standards, startups, or product development.

Culture & Benefits

• Fast-moving, close-knit environment with autonomous vehicle industry experience.
• Work focused on reducing freight costs through autonomous, zero-emissions transportation.
• Equal opportunity employment environment.

Hiring process

• Artificial Intelligence tools may be used to compare qualifications with the job description during interviews.
• Human review is applied to AI output, and a human makes the final hiring decision.
• Applicants may have a legal right to opt out of AI use in the interview process.