Senior Autonomy Software Systems Engineer (Python / C++ / Data)

Torc Robotics • Ann Arbor, MI

2d

About The Position

At Torc, we believe that autonomous vehicle technology will transform how we travel, move freight, and do business. As 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. The SW Systems and Safety - Behaviors & Autonomy Team builds the data and software infrastructure that powers autonomy system evaluation and decision-making. We are seeking a Senior Autonomy Software Systems Engineer who thrives in a hands-on environment building data pipelines, processing large datasets, and developing tools that directly impact how autonomous systems are evaluated and improved. This role is focused on execution — writing production-quality Python (and some C++) code, working with cloud-based data, and building systems that enable large-scale analysis of autonomy data across mapping, simulation, and real-world environments.

Requirements

• BS + 6+ years, MS + 3+ years, or PhD + 1+ years in Computer Science, Software Engineering, Robotics, or related field
• Strong proficiency in Python for production-level development
• Experience working with large-scale datasets and data processing systems
• Experience with cloud environments and distributed data systems (AWS, GCP, Azure)
• Familiarity with SD/HD maps, geospatial data, or spatial data processing
• Experience writing clean, maintainable, and scalable code
• Strong debugging and problem-solving skills in complex systems
• Experience working in cross-functional engineering environments

Nice To Haves

• Experience with C++ in production systems
• Experience working with autonomy, robotics, or mapping systems
• Experience with data pipelines, ETL systems, or ML data workflows
• Exposure to ROS/ROS2 or similar robotics frameworks
• Experience with containerization (Docker) and distributed compute systems

Responsibilities

• Build and maintain Python-based data pipelines to ingest, process, and analyze large-scale autonomy datasets
• Develop tools to extract and manipulate data from cloud-based storage systems (AWS, GCP, etc.)
• Work with HD/SD map data, vehicle telemetry, and simulation outputs to support autonomy workflows
• Write performant and scalable code for data processing, transformation, and analysis
• Collaborate with systems, mapping, and AI/ML teams to support data-driven decision making
• Develop scripts and tools to support scenario generation, ODD analysis, and validation workflows
• Optimize data workflows for performance, scalability, and reliability
• Contribute to system-level debugging by analyzing data and identifying root causes of issues
• Support integration of data pipelines into broader autonomy and validation systems

Benefits

• 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
• Sign-on payments
• Relocation assistance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior