Software Engineer (SE / Sr SE), Data Infrastructure

PlusAI is a Physical AI company pioneering AI-based virtual driver software for factory-built autonomous trucks. Headquartered in Silicon Valley with operations in the United States and Europe, Plus was named by Fast Company as one of the World’s Most Innovative Companies. Partners including TRATON GROUP’s Scania, MAN, and International brands, Hyundai Motor Company, Iveco Group, Bosch, and DSV are working with Plus to accelerate the deployment of next-generation autonomous trucks. If you’re ready to make a huge impact and drive the future of autonomy, Plus is looking for talented individuals to join its fast-growing teams.

Our autonomous-driving fleet generates petabyte-scale sensor and system data. In this role, you will own critical parts of the path that makes this data reliable and useful—from high-throughput recording on the vehicle to transfer, validation, cataloging, and efficient access for replay, analytics, and machine learning. You will work primarily in modern C++ and Python, solving systems challenges across resource-constrained vehicle computers and large-scale offline infrastructure. We welcome engineers from systems, robotics, storage, or data-infrastructure backgrounds; prior autonomous-vehicle experience is helpful but not required.

We are open to candidates at either the Software Engineer or Senior Software Engineer level. Level will be determined by experience, technical depth, scope of ownership, and demonstrated impact. You do not need experience with every technology in our stack; we value strong fundamentals, ownership, and the ability to learn.

Responsibilities:

• Design and evolve high-throughput C++ systems that continuously record vehicle sensor and runtime data, selectively capture events, and collect system telemetry while operating safely under CPU, memory, disk, and network constraints

• Build reliable Python data-plane services and libraries for vehicle-data transfer, ingestion, validation, domain-specific format conversion, metadata extraction, cataloging, and storage lifecycle management

• Evolve versioned vehicle-data formats and their C++ and Python APIs, including indexing, serialization, compression, schema evolution, and backward compatibility

• Evolve columnar and lakehouse representations and access APIs for vehicle data, improving scalability and performance for fleet-scale mining, replay, and analytics

• Ensure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement efforts