Software Engineer (SE / Sr SE), Data Infrastructure

present of AI; Santa Clara (CA); On-site; USD 150,000 - 230,000; Full time

Job summary

PlusAI in Santa Clara, CA seeks a Software Engineer (SE / Sr SE) for Data Infrastructure. The role covers the full path of vehicle data, from recording sensor data on the truck to moving it, checking it, cataloging it and making it fast to query for replay, analytics and machine learning.

A strong candidate brings solid C++ and Python, an understanding of systems under tight CPU, memory, disk and network limits, and experience with storage, data formats or pipelines.

Qualifications

• Strong C++ and Python skills
• Understanding of systems under tight CPU, memory, disk and network limits
• Experience with storage, data formats or pipelines
• Autonomous vehicle experience helpful but not required

Responsibilities

• Own data infrastructure supporting recording, checking, cataloging and fast querying of vehicle data
• Contribute to high-throughput data pipelines and storage formats
• Collaborate with ML teams to shape data formats and access tools

Skills

C++

Python

Data infrastructure

Systems performance

Job description

Software Engineer (SE / Sr SE), Data Infrastructure

The role covers the full path of vehicle data, from recording sensor data on the truck to moving it, checking it, cataloging it and making it fast to query for replay, analytics and machine learning. A strong candidate brings solid C++ and Python, an understanding of systems under tight CPU, memory, disk and network limits, and experience with storage, data formats or pipelines. Autonomous vehicle experience helps but is not required, and the team is open to either an engineer or a senior engineer depending on depth and ownership.

How it fits the AI era

AI models for driving depend on huge amounts of clean, well organized data, so this work sits close to the heart of the product. Tools can help write code, check formats and spot odd data, but choices about reliability, safe behavior on a vehicle computer and how formats change over time still need careful human judgment. The role also follows a quality management process, which keeps people accountable for how data is handled.

How it builds AI experience

Someone in this role would see how fleet data feeds training, replay and analytics for a driving system, and would shape the formats and access tools that machine learning teams use every day. To build this experience, practice with large sensor or log datasets, columnar and lakehouse storage, and simple pipelines that prepare data for model training. Learning how robotics data is recorded and replayed is also a useful way to get ready.

Worth showing

• Modern C++ systems work
• High-throughput data pipelines
• Columnar or lakehouse storage
• Schema evolution and formats

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

PlusAI develops AI-based virtual driver software for factory-built autonomous trucks, per the company.