Senior Test Automation Software & Data Engineer

Rivian and Volkswagen Group Technologies•Palo Alto, CA

About The Position

In this role, you will bridge the gap between hardware validation and big data. You’ll develop the software that controls automated test equipment (ATE) while architecting the pipelines that ingest and process massive volumes of test results and time-series signals. From ADAS to Battery Management Systems, you will ensure that results and data are traceable to requirements.

Requirements

BS/MS in Electrical Engineering, Computer Science, or a related field.
5+ years in hardware test automation with a strong emphasis on Python and object-oriented programming.
Experience building Agentic AI frameworks to automate workflows
Proven experience with Databricks (Spark/SQL) and AWS services (S3, Lambda, Kinesis, or Glue) for data engineering.
Strong knowledge of SQL and NoSQL databases, specifically optimized for time-series data storage and retrieval.
Familiarity with vehicle communication protocols (CAN, CANFD, Automotive Ethernet) and instrumentation control (VISA, Ethernet, GPIB).
Experience building advanced dashboards in tools like Hex, Grafana, Tableau, or custom web-based frameworks.
Solid understanding of the software engineering life cycle (Git, CI/CD, unit testing, and automated deployment).

Nice To Haves

Experience with PySpark for large-scale signal processing.
Familiarity with LabVIEW, Rust or React.
Knowledge of automotive diagnostic protocols (UDS, XCP).

Responsibilities

Design and implement automated data ingestion and processing pipelines for high-frequency time-series signals using AWS and Databricks.
Design modular software, drivers, and Hardware Abstraction Layers (HAL) to interface with low-voltage electrical hardware.
Create complex dashboards and visualization tools to analyze test coverage, performance trends, and hardware reliability.
Develop Python-based automation scripts for characterization, validation and end-of-line (EOL) manufacturing tests.
Architect and deploy agentic AI workflows to optimize business processes in the context of hardware validation.
Root-cause complex issues across the stack, from electrical signals and communication protocols to cloud-side data processing errors.
Work with hardware designers, validation and reliability engineers to define data schemas and standards for ECU testing.
Support the deployment of data-integrated test systems at Rivian and Volkswagen Group Technologies and external manufacturing sites.