Safety Systems Engineer

About you and this role:

Robust AI is a fast-growing, early-stage startup founded in 2019 by an unsurpassed team of veterans in robotics, AI and business. We are a collaborative group with a wide range of backgrounds and perspectives, seeking talented individuals who are just as excited about robotics and AI as we are! Help us redefine the very foundation of robotics and build robots that are smart, collaborative, robust, safe, flexible and genuinely autonomous.

As a safety systems engineer at Robust AI you will join a small fast-paced team working to design and deploy the next generation of warehouse robotic systems. You will own the safety and compliance roadmap for our team. Working with the engineers on the team, you will drive tests, design changes and work without outside testing bodies. You are someone who is comfortable working in an early-stage startup environment and are able to pivot effectively.

The base pay range for this role is between $170,000 and $200,000, dependent on your skills, qualifications and experience.

• Safety and compliance roadmap
  
  In-depth knowledge of safety standards
• Testing against safety standards
• Develop and manage system safety requirements, hazard analyses, and risk assessments
• Produce safety case reports, certification documentation, and maintain traceability of safety requirements

• 5+ years in safety systems engineering, preferably in robotics (AMRs)
• Proficiency in safety analysis tools (FTA, FMEA, FMEDA, hazard logs)
• Excellent problem-solving, cross‑functional collaboration, communication, and documentation abilities
• Experience with AMR safety standards (R15.08, ISO 3691‑4, ISO 12100)

• Base pay between $170,000 and $200,000, dependent on your skills, qualifications and experience.
• Stock options and huge potential for growth.
• Medical, Dental, and Vision coverage.
• Flexible vacation and sick leave practices.
  
  Paid parental leave.

Robust AI fosters a culture of belonging and a shared commitment to equality and equity. Having a diverse set of perspectives is key to ensuring AI and robotics serve the needs of all.