# System Safety Engineer

**Company:** [Applied Intuition](https://hotfix.jobs/companies/applied-intuition)
**Location:** Tokyo, Japan
**Role:** Hardware Engineering
**Experience:** 2+ years
**Skills:** Adas, Autonomous Vehicles, Robotics, System Safety Engineering, Functional Safety, Fmea, Fta, Stpa, Iso 26262, Iso 21448, Iso/Dpas 8800, Ul 4600, Safety Architecture, Verification And Validation, Machine Learning Safety
**Posted:** 2026-06-30

> Defines and manages safety architecture, requirements, analyses, and safety cases for L4 autonomous-driving software and hardware. The role requires automotive system or functional safety experience, an engineering degree, and knowledge of key automotive safety standards.

## Job Description

## Responsibilities
- Derive and manage safety concepts, requirements, and specifications for autonomy software and hardware for the L4 SDS product line.
- Lead development of the safety architecture.
- Perform safety analyses such as **FMEA**, **FTA**, and **STPA**, and derive relevant safety work products.
- Work with verification and validation teams to ensure requirements are verified throughout the development process.
- Contribute to the overall safety case of the final product.
- Promote a culture of safety and provide training and guidance on safety practices.
- Monitor and report on safety performance and implement continuous improvement measures.
- Define project goals and execution steps to ensure requirements are met on schedule.

## Requirements
- 2+ years of experience in system safety engineering or functional safety engineering.
- Bachelor's or master's degree in Computer Science, Electrical Engineering, Mechanical Engineering, Systems Engineering, or equivalent.
- Expertise in mechanical, electrical, and software engineering.
- Experience with ADAS, autonomous systems, and robotics.
- Knowledge of automotive standards and regulations, especially **ISO 26262**, **ISO 21448**, **ISO/DPAS 8800**, and **UL 4600**, including ongoing activities related to machine learning and safety.
- Experience driving safety requirements across the V-model, from architecture and requirements generation through implementation, verification, and validation.
- Strong collaboration skills with teams, customers, and partner companies to deliver high-quality results.

## Nice to Have
- Prior work with autonomous vehicles or ADAS.
- Understanding of metrics and how to connect evidence to a safety case.
- Project management and leadership experience in the autonomous vehicle industry.
- Experience in autonomous vehicle and robotics fields.
- Experience with the safety of machine-learning systems.

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