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Rivian and Volkswagen Group Technologies

Systems Analytics Engineer, Connectivity & Telematics

Palo Alto, California (Remote)$146.9k–$183.6kfulltimemidAdded today

About this role

Join Rivian and Volkswagen Group Technologies to investigate complex, cross-stack issues spanning embedded systems, networking, and cloud services for a fleet of 100,000+ electric vehicles. This role combines systems debugging with fleet-scale data analysis to detect regressions, validate fixes, and inform software release decisions through telemetry-driven root cause analysis.

What you'll do

  • Investigate and root-cause issues across embedded Linux, networking, firmware, and cloud services on production vehicles
  • Analyze fleet telemetry and logs using SQL, PySpark, and Databricks to detect issues and quantify impact
  • Gate software releases by defining health criteria, monitoring rollouts, and advising go/no-go decisions
  • Build automated monitoring dashboards and alerting systems to detect fleet-level health patterns early
  • Conduct on-vehicle testing and diagnostics to reproduce and validate system behavior
  • Partner across firmware, platform, and cloud teams to trace and resolve issues spanning system boundaries

What they're looking for

  • Python and/or C/C++ programming
  • Linux systems knowledge (processes, networking, logs)
  • SQL and PySpark for large-scale data analysis
  • Embedded systems debugging and firmware interfaces
  • Fleet telemetry and log analysis
  • Analytical reasoning and root cause analysis
  • Written technical communication
  • Networking fundamentals
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Rivian and Volkswagen Group Technologies

Rivian and Volkswagen Group Technologies is developing next-generation software-defined electric vehicles through a joint venture, focusing on systems architecture, battery management, and safety-critical systems. The company is hiring engineers in software architecture, embedded systems, functional safety, test integration, and audio systems to build reliable and compliant EV platforms.

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Likely interview questions

  • Walk us through a time you debugged a complex issue that spanned multiple system layers—how did you approach it and what tools did you use?
  • Describe your experience with large-scale data analysis. How have you used SQL or PySpark to identify patterns in production systems?
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