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