Systems Engineering

2 days ago


Mountain View CA United States Applied Intuition Inc. Full time
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.
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