Senior Autonomy Systems Engineer – Data, Cloud, Mapping

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🕒 May 7

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Logo of Torc Robotics

Torc Robotics

501 - 1000 employees

Founded 2007

🚗 Transport

🔧 Hardware

🤖 Artificial Intelligence

Transport • Hardware • Artificial Intelligence

Torc Robotics is an innovative company focused on commercializing self-driving trucks for long-haul freight transportation. As an independent subsidiary of Daimler Truck, the company is developing autonomous technology, primarily focusing on the Freightliner Cascadia. Torc is committed to safe transportation, continuously improving its solutions through rigorous testing and integration of industry-leading sensors. It collaborates with fleet management companies to deploy real-world autonomous solutions, aiming to lead the industry in autonomous trucking.

📋 Description

• 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

🏖️ Benefits

• A competitive compensation package that includes a bonus component and stock options • 100% paid medical, dental, and vision premiums for full-time employees • 401K plan with a 6% employer match • Flexibility in schedule and generous paid vacation (available immediately after start date) • AD+D and Life Insurance

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