Data Engineer (SE / Sr SE)

present of AI; Santa Clara (CA); On-site; USD 140,000 - 210,000; Full time

Job summary

PlusAI is seeking an engineer to build the measurement layer for an autonomous driving program. You will define driving performance metrics and run pipelines that compute them across fleet and simulation data, then explain the results to help improve systems.

A strong candidate brings solid Python data engineering, large-scale processing, and geospatial analytics, plus the judgment to turn raw findings into clear calls that engineering teams act on.

Qualifications

• Experience building measurement systems for autonomous driving or similar large-scale data pipelines.
• Proficient in Python data engineering and geospatial analytics.
• Ability to translate raw findings into actionable guidance for engineering teams.

Responsibilities

• Define driving performance metrics and KPIs for the program.
• Run pipelines to compute metrics across fleet and simulation data.
• Analyze results and explain where and why behavior changes occur, turning insights into calls for action.

Skills

Python

Data engineering

Geospatial analytics

Large-scale processing

LLM agentic workflows

Evaluation frameworks

Geospatial analysis

Tools

GIS tools

SQL / BigQuery

Python libraries (pandas, numpy)

Job description

The role centers on building the measurement layer for an autonomous driving program: defining driving performance metrics, running pipelines that compute them across fleet and simulation data, and analyzing results to explain where and why behavior changes. A strong candidate brings solid Python data engineering, large scale processing, and geospatial analytics, plus the judgment to turn raw findings into clear calls that engineering teams act on. Ownership and the ability to learn new tools matter more than matching every item in the stack.

How it fits the AI era

Much of the routine pipeline and analysis work can be sped up with AI assistance, but the core judgment about what a metric should mean and whether a regression is real stays with the engineer. The role also builds AI agentic workflows that triage issues, cluster failures, and propose fixes for human review, so the person shapes how AI is used rather than only consuming it. Evaluation and release gating remain human accountable even as automation grows.

How it builds AI experience

Working here means hands on practice with LLM powered automation for issue triage and root cause attribution, applied to real driving data from trucks. A candidate can build this by getting comfortable with evaluation frameworks, agentic tooling, and geospatial analysis on large datasets before applying. Familiarity with how autonomous systems are measured helps, though the posting says it is not required.

Worth showing

• Geospatial analytics
• Evaluation frameworks
• LLM agentic workflows

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.