Software Engineer (SE / Sr SE), Data Infrastructure

Santa Clara, CAData Engineering – Data Infrastructure /Full-time /HybridPlusAI 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 constraintsBuild reliable Python data-plane services and libraries for vehicle-data transfer, ingestion, validation, domain-specific format conversion, metadata extraction, cataloging, and storage lifecycle managementEvolve versioned vehicle-data formats and their C++ and Python APIs, including indexing, serialization, compression, schema evolution, and backward compatibilityEvolve columnar and lakehouse representations and access APIs for vehicle data, improving scalability and performance for fleet-scale mining, replay, and analyticsEnsure that your work is performed in accordance with the company’s Quality Management System (QMS) requirements and contribute to continuous improvement effortsRequired Skills:BS, MS, or PhD in Computer Science or a related technical field, or equivalent practical experienceProgramming experience in modern C++ and working proficiency in Python for services, libraries, and toolingLinux systems knowledge, including concurrency, memory and resource management, filesystem and storage I/O, networking, debugging, and performance profilingSelf-driven with a strong sense of ownership: a quick learner who is eager to take responsibility and drive projects forward end to endPreferred Skills:Familiarity with protobuf, gRPC, compression or media codecs, and native C++/Python bindingsExperience with autonomous vehicles, robotics, ROS or ROS 2, robotics log formats such as rosbag or MCAP, or other high-throughput recording and telemetry systemsExperience with columnar data formats or lakehouse table technologies such as Parquet, Delta Lake, or Apache Iceberg$120,000 - $200,000 a yearYour opportunities joining PlusAIWork, learn and grow in a highly future-oriented, innovative and dynamic field.Wide range of opportunities for personal and professional development.Catered free lunch, unlimited snacks and beverages.Highly competitive salary and benefits package, including 401(k) plan.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.