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PlusAI

Robot type
Autonomous Vehicle
Location
Santa ClaraCaliforniaUSA
Job type
Software
Posted
Aug 10, 2026
Salary
$130,000–$200,000 a year
Full-time

Data Engineer (SE / Sr SE)

Job description

Knowing how well our virtual driver drives — and why it fell short — is what lets us ship with confidence. In this role, you will own that loop end to end: the metrics that quantify driving performance, the pipelines that compute them at fleet scale, the analysis that turns them into judgments about autonomy behavior — including where on the map that behavior changes — the data and tooling that gate software releases, and the agentic workflows that take a detected issue from triage to a proposed fix. You will work primarily in Python across large-scale data processing, geospatial analytics, evaluation frameworks, and LLM-powered automation.

We are open to candidates at either the Engineer…

Job responsibilities

  • Define and compute driving performance metrics — covering safety, comfort, progress, interventions, and compliance — and build the scalable pipelines that evaluate them consistently across fleet and simulation data
  • Analyze road-test and simulation data in depth to identify trends, regressions, and anomalies in autonomy behavior, and turn them into clear findings that engineering teams act on
  • Build geospatial analytics over fleet driving data: map-matched metrics, route and corridor performance, location-based clustering of events and issues, and geographic coverage analysis that shows where the virtual…
  • Build the data foundations and tooling for release management, including release-over-release comparisons, readiness and gating criteria, and traceable evidence supporting release decisions
  • Build AI agentic workflows that triage detected issues at scale — clustering and deduplicating failures, attributing root cause, routing to the right owners, and proposing fixes with supporting evidence for engineering…
  • Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts

Job requirements

  • BS, MS, or PhD in Computer Science, engineering, or a related technical field, or equivalent practical experience
  • Proficiency in Python, with experience building scalable data processing systems or evaluation frameworks
  • Experience developing metrics and analyzing large-scale time-series, event, or geospatial data, including principled metric definitions, validation, and error analysis
  • Experience building LLM-powered or agentic workflows for data analysis, evaluation, or automation
  • Ability to solve open-ended technical challenges and communicate findings clearly to engineering and program stakeholders
  • Self-driven with a strong sense of ownership: a quick learner who is eager to take responsibility and drive projects forward end to end
  • Experience with distributed data processing such as Apache Spark, and workflow orchestration such as Airflow or Argo Workflows
  • Familiarity with LLM agent frameworks (e.g., LangChain, LangGraph, or similar) and prompt/tool-orchestration patterns
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