System Safety Engineer - Mining

Mountain View, California, United States About Applied Intuition Applied Intuition is the vehicle intelligence company that accelerates the global adoption of safe, AI-driven machines. Founded in 2017, Applied Intuition delivers the toolchain, Vehicle OS, and autonomy stacks to help customers build intelligent vehicles and shorten time to market. Eighteen of the top 20 global automakers and major programs across the Department of Defense trust Applied Intuition's solutions to deliver vehicle intelligence. Applied Intuition services the automotive, defense, trucking, construction, mining, and agriculture industries and is headquartered in Mountain View, CA, with offices in Washington, D.C., San Diego, CA, Ft. Walton Beach, FL, Ann Arbor, MI, London, Stuttgart, Munich, Stockholm, Seoul, and Tokyo. Learn more at . Work model We are an in-office company, and our expectation is that employees primarily work from an Applied Intuition office 5 days a week. However, there is flexibility to manage schedules responsibly, including occasional remote work, starting the day with morning meetings from home, or leaving earlier to accommodate family commitments. About the role We are looking for a System Safety Engineer with a mining background in collision avoidance and/or autonomous driving systems. This engineer will define and manage the safety requirements including both autonomy software and hardware requirements of an initial in-vehicle stack. This engineer will play a critical role in shaping the technical direction of this project in the mining industry space. Responsibilities Derive and manage safety requirements and concepts according to ISO 12100, 13849, 17757, 19014, and 21815 Derive relevant safety work products Work with validation on additional validation methods required derived from Sotif analysis Contribute to the overall safety case of the final product Promote a culture of safety within the organization and provide training and guidance on safety practices Collaborate with cross-functional teams, including design, development, and quality assurance, to integrate safety into all stages of the product lifecycle Monitor and report on safety performance, and implement continuous improvement measures Qualifications 5+ years of experience in a System Safety Engineering role MS/BS degree in Computer Science, Engineering or equivalent required Expertise in mechanical, electrical, and software engineering Experience with collision avoidance, autonomous systems and robotics Knowledge of existing standards and regulations relevant in the mining industry, esp. ISO 12100, ISO 19014, Safe mobile autonomous mining in Western Australia: Code of Practice and ongoing activities with regards to ML and safety Mastery of strong collaboration with other teams, customers, and companies to ensure high quality deliverables Nice to have Prior work in either autonomous vehicles or collision avoidance systems Project management and leadership experience in the AV industry Research experience in the AV and robotics fields Experience with ML systems Compensation Compensation at Applied Intuition for eligible roles includes base salary, equity, and benefits. Base salary is a single component of the total compensation package, which may also include equity in the form of options and/or restricted stock units, comprehensive health, dental, vision, life and disability insurance coverage, 401k retirement benefits with employer match, learning and wellness stipends, and paid time off. Note that benefits are subject to change and may vary based on jurisdiction of employment. The base salary range for this position is $118,000 - $220,000 USD annually. Equal Employment Opportunity Applied Intuition is an equal opportunity employer and federal contractor or subcontractor. Consequently, the parties agree that, as applicable, they will abide by the requirements of 41 CFR 60-1.4(a), 41 CFR 60-300.5(a) and 41 CFR 60-741.5(a) and that these laws are incorporated herein by reference. These regulations prohibit discrimination against qualified individuals based on their status as protected veterans or individuals with disabilities, and prohibit discrimination against all individuals based on their race, color, religion, sex, sexual orientation, gender identity or national origin. The parties also agree that, as applicable, they will abide by the requirements of Executive Order 13496 (29 CFR Part 471, Appendix A to Subpart A), relating to the notice of employee rights under federal labor laws. #J-18808-Ljbffr

Created: 2025-09-17