Data Engineer/Senior Data Engineer

Plus 2
Santa Clara, CA
On-site

Who this role is best for

Aimed at senior data engineers who have experience with LLM-powered workflows and large-scale data analysis, and are self-driven with a strong sense of ownership. The role is based in Santa Clara, CA, and focuses on autonomous vehicles and safety-critical systems.

Best fit for

  • Senior data engineers with experience in geospatial data and LLM agent frameworks
    — “Experience with geospatial data and tooling, such as GIS formats, map matching, spatial indexing and joins, PostGIS, GeoPandas, or map-based visualization libraries”
  • Individuals who have led end-to-end projects and communicated findings to engineering stakeholders
    — “Ability to solve open-ended technical challenges and communicate findings clearly to engineering and program stakeholders”

Things to consider

  • The role is based in Santa Clara, CA, which may require relocation or local presence for candidates.
    — “Headquartered in Silicon Valley with operations in the United States and Europe”
  • A strong sense of ownership and initiative is expected, not just technical skills.
    — “Self-driven with a strong sense of ownership: a quick learner who is eager to take responsibility and drive projects forward end to end”

How to stand out

  • Highlight experience with LLM-powered data analysis and end-to-end project ownership in your resume and interviews.
    — “Experience developing metrics and analyzing large-scale time-series, event, or geospatial data, including principled metric definitions, validation, and error analysis”
  • Demonstrate your ability to build scalable data processing systems using Python in your portfolio or past work.
    — “Proficiency in Python, with experience building scalable data processing systems or evaluation frameworks”
  • Showcase your familiarity with workflow orchestration tools like Airflow or Argo Workflows.
    — “Experience with distributed data processing such as Apache Spark, and workflow orchestration such as Airflow or Argo Workflows”
  • Emphasize your experience with safety-critical systems, especially autonomous vehicles or robotics.
    — “Experience with autonomous vehicles, robotics, or other safety-critical systems”
  • Demonstrate your capability to build dashboards or analytics interfaces that expose metrics to users.
    — “Experience building dashboards or analytics interfaces that expose metrics to users”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · TeamLevel · Mid

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Built scalable data processing systems
  • Developed metrics for large-scale data
  • Implemented LLM-powered workflows
Typical background
BS, MS, or PhD in Computer Science, engineering, or a related technical field

Skills & requirements

Required

PythonData ProcessingMetric DevelopmentTechnical CommunicationProblem Solving

Preferred

Distributed Data ProcessingGeospatial DataRelease EngineeringAutonomous Vehicles

Stack & domain

PythonApache SparkAirflowOwnershipCommunicationData ProcessingAutonomous Vehicles

About the role

Original posting from Plus 2 via Lever

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.

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

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.

Source: Plus 2 careers (Lever)

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