System Safety Engineer Autonomous Driving - Autonomy Stack

About the role

We are looking for a System Safety Engineer with automotive background in ADAS and/or autonomous driving. This engineer will define and manage the safety architecture and requirements for both autonomy software and hardware. 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:

• Derive and manage safety concepts, requirements and specifications for autonomy software and hardware for L4 trucking
• Lead efforts for development of safety architecture
• Perform safety analysis and derive relevant safety work products
• Work with verification and validation to ensure requirements are being verified throughout the development process
• 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
• 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
• MS/BS degree in Computer Science, Electrical, Mechanical Engineering or equivalent required
• Expertise in mechanical, electrical, and software engineering
• Experience with ADAS, autonomous systems and robotics
• Knowledge of existing standards and regulations relevant in the automotive industry, esp. ISO 26262, ISO 21448, ISO/DPAS 8800, UL4600 and ongoing activities with regards to ML and safety
• Knowledge of architectural design of ADAS/AV systems
• Experience with requirements validation and verification for subsystems as well as integrated system level components
• 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
• Project management and leadership experience in the AV industry
• Experience in the AV and robotics fields
• Experience with the safety of ML systems