Senior Systems Engineer - ODD Definition and Automation

Torc Robotics

About The Position

At Torc, we have always believed that autonomous vehicle technology will transform how we travel, move freight, and do business. A leader in autonomous driving since 2007, Torc has spent over a decade commercializing our solutions with experienced partners. Now a part of the Daimler family, we are focused solely on developing software for automated trucks to transform how the world moves freight. Join us and catapult your career with the company that helped pioneer autonomous technology, and the first AV software company with the vision to partner directly with a truck manufacturer. Meet the Team: Join our Strategy & Mission Control Product Engineering team at the forefront of autonomous trucking and Level 4 (L4) autonomy. We partner closely with functional safety, systems engineering, and design teams to help ensure Functional Safety and SOTIF goals are achieved while building a robust, scalable autonomous vehicle platform. We are seeking a Senior Systems Engineer with deep expertise in Operational Design Domain (ODD) quantification and a passion for safety-critical systems, risk assessment, and data-driven development. In this role, you will lead ODD strategy and characterization efforts, using Python and other analytical tools to define, measure, and improve system performance across operating environments. You will collaborate cross-functionally to drive alignment, inform engineering decisions, and help shape the future of autonomous trucking technology. As a Sr. System Engineer (Data Analysis & Statistics Background), you will play a key role in evaluating and enhancing the safety and reliability of autonomous trucking systems. You will work with functional (FuSa) and behavioral safety (SOTIF) engineers, system engineers, data scientists, AI-ML engineers, and SW Devs to ensure that our autonomous system operates safely and effectively under all conditions.

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 a 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.

Nice To Haves

Understanding of AI-ML techniques
Solid knowledge of multivariable statistics and Bayesian Methods
Working knowledge of Bayesian Networks
Experience is SW development and knowledge of C++, Python, MATLAB/Simulink
Working knowledge of Jama, CAMEO, and JIRA
Experience in SAFe AGILE environments

Responsibilities

Analyze and select specific data elements needed for all 6 layers as part of the PEGASUS framework. Based on this structured framework, generate comprehensive scenario-based requirements, and the testing, verification, and validation (V&V) for L4 autonomous driving.
Derive system requirement based on specific scenarios and use cases related to Operational Design Domain (ODD) for L4 applications
Apply system methodologies and data analysis to characterize the ODD to improve the vehicle requirements at the system level
Selected scenarios and use cases based on ODD characterization
Generate Behavior Systems Requirements, Sub-System, and Component Requirements.
Work with system and safety engineers, map engineers and data scientists to decompose and improve the requirements
Interact with functional safety and system engineers to ensure SOTIF targets are achieved in autonomous vehicle development.
Lead data analysis and information extraction in our organization
Interact with AI-ML engineers and SW Developers to ensure the safety of Torc solutions
Communicate ODD characterization results to the product organization and other critical 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 autonomous trucking specifications.