Senior Systems Engineer – ODD Definition and Automation
Remote – US
About the Company
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.
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.
What You’ll Do
- Lead ODD strategy and characterization efforts, using Python and other analytical tools to define, measure, and improve system performance across operating environments.
- Evaluate and enhance the safety and reliability of autonomous trucking systems in collaboration with functional, behavioral safety, system, data science, AI‑ML engineers, and software developers.
- Analyze and select specific data elements needed for all six layers as part of the PEGASUS framework.
- Generate comprehensive scenario‑based requirements, and V&V for L4 autonomous driving.
- Derive system requirements based on specific scenarios and use cases related to ODD for L4 applications.
- Apply system methodologies and data analysis to characterize the ODD and improve vehicle requirements at the system level.
- Generate behavior, subsystem, and component requirements and drive iterative improvement of those requirements with safety engineers, map engineers, and data scientists.
- Interact with functional safety and system engineers to ensure SOTIF targets are achieved in autonomous vehicle development.
- Lead data analysis and information extraction across the organization.
- Collaborate with AI‑ML engineers and software developers to ensure the safety of Torc solutions.
- Communicate ODD characterization results to product organization and other stakeholders to refine requirements and testing.
- Develop verification and validation targets for known and unknown safety scenarios.
- Support SOTIF‑related operational strategies, ensuring safe deployment of autonomous vehicles.
- Integrate SOTIF considerations into autonomous trucking specifications with systems design and architecture teams.
What You’ll Need to Succeed
- 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.
- Proficiency in leveraging data science and statistics to extract information from large data sets.
- Experience collecting, transforming, and automating data from various sources, including maps.
- Expertise in developing new, experimental frameworks and tools for data collection.
- Strong analytical skills with the ability to assess risks, derive safety requirements, and define V&V strategies.
- Excellent project management and leadership skills, capable of driving safety initiatives across cross‑functional teams.
- Highly organized, capable of managing multiple projects in a fast‑paced, evolving environment.
- Strong interpersonal and communication skills for effective collaboration across engineering teams and leadership.
- Detail‑oriented, self‑motivated, able to work independently while leading discussions and influencing stakeholders.
- Comfortable working in an environment of ambiguity and rapid change, making informed safety decisions.
- Ability to ethically handle sensitive and confidential information with impartiality and professionalism.
Bonus Points
- Understanding of AI‑ML techniques.
- Solid knowledge of multivariable statistics and Bayesian methods.
- Working knowledge of Bayesian networks.
- Experience in software development with C++, Python, MATLAB/Simulink.
- Knowledge of Jama, CAMEO, and JIRA.
- Experience in SAFe Agile environments.
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As set forth in Torc Robotics’s Equal Employment Opportunity policy, we do not discriminate on the basis of any protected group status under any applicable law.
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