Data Engineer (SE / Senior SE)

Santa Clara, CA

Live, first seen by us 84 days ago

Pay: USD 130,000–200,000/year — pay source
Salary 130,000 – 200,000 USD per year Your opportunities joining PlusAI
Read the full posting
Work setting: Hybrid — work setting source
Work setup in the employer’s posting: hybrid
From the employer’s posting
Employment: Full-time — employment source
Employment type Full-time
Employment type in the employer’s posting: Full-time
From the employer’s posting

What you’ll work on

Full posting

Define and compute driving performance metrics and the pipelines that evaluate them at fleet scale
Analyze road-test and simulation data to find regressions and anomalies in autonomy behavior
Build geospatial analytics showing where the virtual driver performs well and where it struggles
Build data foundations and tooling for release comparisons and gating decisions
Build AI agentic workflows that cluster, triage, and propose fixes for detected issues

From the employer’s posting

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

Build geospatial analytics over fleet driving data

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 review

What you’ll bring

All qualifications

Core 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

Preferred experience

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
Experience with geospatial data and tooling, such as GIS formats, map matching, spatial indexing and joins, PostGIS, GeoPandas, or map-based visualization libraries
Experience with release engineering, quality gating, or automated regression detection

Qualification wording

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

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

Experience with geospatial data and tooling, such as GIS formats, map matching, spatial indexing and joins, PostGIS, GeoPandas, or map-based visualization libraries

Experience with release engineering, quality gating, or automated regression detection

Education & alternatives

Required Skills: - 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

Apply at Plus-2

Posting record

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Status in our records: Live
First seen by us: Aug 13, 202684 days ago
Recorded sightings: 43
Last seen by us: Nov 5, 2026
Employer says posted: Aug 10, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Pay

In line with similar jobs

$130K–$200K against $127K–$190K, the middle half of what similar US postings state.

From 2,133 postings in the last year. Stated ranges, not salaries paid.

Time since we first saw it

Day 84

Up longer than most. Similar jobs usually come down between day 6 and day 54.

At Plus-2, jobs usually come down by about day 58.

From 10,934 similar postings that came down, and 5 of Plus-2’s. Coming down is not always a hire.

Plus-2 is hiring

8 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring at a steady pace
Takes jobs down at a usual pace
13% of open jobs were reposted

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

Python
Spark
Airflow

Where the posting names them

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. 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 welcome engineers from data engineering, analytics, geospatial, evaluation, or robotics backgrounds; prior autonomous-vehicle experience is helpful but not required. We are open to candidates at either the Engineer or 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.

- 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

Preferred Skills: - 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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About the role

We file this job under Data Engineer, by the work the posting describes.

Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.

Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.

An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.

US government figures for database architects

Median yearly pay, May 2025: $139,500
Expected change, 2025 to 2035: 9.4% more jobsagainst 3.5% for all jobs

The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.

Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.

Job description

View original posting ↗

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.

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 welcome engineers from data engineering, analytics, geospatial, evaluation, or robotics backgrounds; prior autonomous-vehicle experience is helpful but not required.

We are open to candidates at either the Engineer or 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:

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 driver performs well and where it struggles
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 review
Ensure that your work is performed in accordance with the company's Quality Management System (QMS) requirements and contribute to continuous improvement efforts

Required Skills:

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

Preferred Skills:

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

Experience with geospatial data and tooling, such as GIS formats, map matching, spatial indexing and joins, PostGIS, GeoPandas, or map-based visualization libraries

Experience with release engineering, quality gating, or automated regression detection

Experience with autonomous vehicles, robotics, or other safety-critical systems

Experience building dashboards or analytics interfaces that expose metrics to users

Salary

130,000 – 200,000 USD per year

Your opportunities joining PlusAI

Work, 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.

Employment type

Full-time

Source details

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Pay

Salary 130,000 – 200,000 USD per year Your opportunities joining PlusAI

Location & working pattern