Systems Engineering - Autonomous Driving (State and Error Management)

About the role

We are looking for a Systems Engineer with automotive background in ADAS and/or autonomous driving. This engineer will define and manage the system requirements for state and error management for autonomous driving of trucks. 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:

• Design, monitor and manage full system-level requirements for state and error management for the overall built system and ensure that the system meets the intended requirements.
• Specify the overall degradation strategy for the system.
• Provide clear goals for all areas of a project and develop steps to oversee their timely execution so that requirements can be met.
• Convert customer needs into system requirements and devise operational objectives for the system as a whole.
• Work with verification and validation to ensure requirements are being verified throughout the development process.

We're looking for someone who has:

• 5+ years of experience in a system engineering role responsible for owning system requirements, testing systems for verification, and designing system requirements in the automotive industry.
• Ideally has experience in working on state and error management or on system degradation strategy for autonomous systems.
• MS/BS degree in Computer Science, 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.
• 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.
• Research experience in the AV and robotics fields.