Senior Systems Engineer – ODD Definition, Automation

Role Overview

• Play a key role in evaluating and enhancing the safety and reliability of autonomous trucking systems.
• Work with functional engineers, system engineers, data scientists, AI-ML engineers, and SW Devs to ensure that autonomous systems operate safely under all conditions.
• Analyze and select specific data elements needed for all 6 layers as part of the PEGASUS framework.
• Generate comprehensive scenario-based requirements, testing, verification, and validation for L4 autonomous driving.
• Derive system requirements based on specific scenarios and use cases related to Operational Design Domain (ODD).
• Apply system methodologies and data analysis to characterize the ODD to improve vehicle requirements at the system level.
• Lead data analysis and information extraction in the organization.
• Communicate ODD characterization results to the product organization and stakeholders to improve requirements and testing.
• Develop verification and validation targets for known and unknown safety scenarios.
• Support SOTIF-related operational strategies, ensuring the safe deployment of autonomous vehicles.
• Collaborate with systems design and architecture teams to ensure SOTIF considerations are integrated into specifications.

Requirements

• Master’s Degree in Computer Science, Computer Engineering, Statistics, Systems Engineering, or equivalent with 3+ years relevant experience.
• Bachelor’s Degree in Computer Science, Computer Engineering, Statistics, Systems Engineering, or equivalent with 6+ years relevant experience.
• Strong knowledge of automotive, heavy-duty truck, or aerospace products and industries.
• Leverage data science and statistics to extract information from large data sets.
• Collect data from different sources (including maps) to identify the elements needed for the 6-layer framework.
• Transfer data into new formats to make it more appropriate for analysis.
• Creating new, experimental frameworks to collect data.
• Building tools to automate data collection.
• Strong analytical skills, with the ability to assess risks, derive safety requirements, and define verification & validation strategies.
• Excellent project management and leadership skills, with the ability to drive safety initiatives across cross-functional teams.
• Highly organized and capable of handling multiple projects in a fast-paced, evolving environment.
• Strong interpersonal and communication skills, with the ability to collaborate effectively across engineering teams and leadership.
• Detail-oriented, self-motivated, and able to work independently while also leading discussions and influencing stakeholders.
• Comfortable working in an environment of ambiguity and rapid change, with the ability to quickly adapt and make informed safety decisions.
• Ability to ethically handle sensitive and confidential information with impartiality and professionalism.

Benefits

• Health insurance
• Corporate bonus and stock option plan
• Full range of medical, financial, and/or other benefits