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Torcrobotics
Torcrobotics

Senior Autonomy Systems Engineer (Data / Cloud / Mapping)

engineeringfull-timeRemote - U.S, Ann Arbor, MI
SALARY
Not listed
WORK TYPE
remote
JOB TYPE
full-time
INDUSTRY
general
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About the role

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. 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 SW Systems and Safety - Behaviors & Autonomy Team, where we operate at the intersection of safety, autonomy, data, and large-scale system design. Our team works across mapping, AI/ML, validation, and software engineering to define and evaluate the Operational Design Domain (ODD) and ensure our autonomous systems perform safely and reliably in the real world.

What You’ll Be Doing

  • Lead ODD characterization efforts by analyzing large-scale datasets across real-world, simulated, and mapped environments
  • Define system-level strategies for leveraging map data (HD/SD), telemetry, and autonomy logs to assess operating conditions
  • Design and implement Python-based workflows to extract, transform, and analyze data from cloud-based systems
  • Work across internal and supplier-provided datasets (mapping, perception, vehicle data) to derive actionable insights
  • Define KPIs and metrics that evaluate safety, performance, and release readiness of autonomy systems
  • Translate data insights into system-level requirements, design decisions, and validation strategies
  • Collaborate with mapping, perception, AI/ML, and validation teams to align on data usage and system behavior
  • Drive technical direction across teams by connecting data, system architecture, and real-world performance
  • Identify gaps in data, tooling, and system design and propose scalable solutions
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