Senior Autonomy Systems Engineer (Data / Cloud / Mapping)

Torc Robotics is a leader in autonomous driving technology, focused on developing software for automated trucks. The Senior Autonomy Systems Engineer will lead efforts in data-driven system design and collaborate across teams to ensure the performance and safety of autonomy systems.

Responsibilities:

• 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

Requirements:

• BS + 6+ years, MS + 3+ years, or PhD + 1+ years in Robotics, Computer Science, Systems Engineering, or related field
• Strong experience working with autonomy, robotics, or large-scale distributed systems
• Proficiency in Python for data analysis, scripting, and system workflows
• Experience accessing and processing large datasets from cloud environments (AWS, GCP, Azure)
• Experience working with mapping systems (HD maps, SD maps, or similar structured spatial data)
• Strong system-level thinking and ability to translate data into design decisions
• Experience working cross-functionally with software, data, and systems teams
• Ability to operate in ambiguous environments and drive clarity through technical direction
• Experience in autonomous vehicles or ADAS systems
• Familiarity with ODD frameworks, scenario generation, or 6-layer environment modeling
• Experience with safety frameworks (SOTIF, ISO 26262, AI safety)
• Experience working with large-scale data pipelines or distributed systems
• Exposure to simulation environments or autonomy validation workflows