Seibold GmbH
About the role
We are looking for a System Safety Engineer with a background in building risk models for ADAS, and/or autonomous driving. This engineer will define and manage the autonomy risk evaluation framework. This engineer will play a critical role in shaping the technical direction of this project in the automotive industry space.
At Applied Intuition, you will:
- Develop the risk evaluation framework and risk model for L4 trucking including identifying relevant metrics
- Lead efforts to deploy the risk model including tracing to data sources
- Lead efforts to establish credibility of the risk model including validation of the accuracy of the model
- Support safety analysis and improvements in safety architecture
- Work with verification and validation team to identify test plans to generate relevant evidence to support risk evaluation
- Work with software, data science and tools to ensure relevant metrics are being computed and measured
- Promote a culture of safety within the organization and provide training and guidance on safety practices
- Monitor and report on safety performance, and implement continuous improvement measures
- Provide clear goals for all areas of a project and develop steps to oversee their timely execution so that requirements can be met
We're looking for someone who has:
- 5+ years of experience in a System Safety Engineering role or Risk quantification
- MS/BS degree in Statistics, Aerospace, Computer Science, or equivalent required
- Expertise in application of quantitative models to autonomous or robotic applications
- Experience with ADAS, autonomous systems and robotics
- Knowledge of existing standards and regulations relevant in the automotive industry, esp. ISO 26262, ISO 21448, UL4600
- Knowledge of architectural design of ADAS/AV systems
- Experience with tools and methods for measuring performance and evaluating reliability and/or safety (RBD, qFTA, FMEDA)
- 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 ADAS or aerospace
- Project management and leadership experience in the AV industry
- Experience in the AV and robotics fields