Test Engineering, Data Engineering - Systems QA
Core
Develop automated verification for bench and vehicle levels of connected vehicle features, validating high-throughput telemetry ingestion and vehicle health monitoring across data and control planes.
Role type
Senior IC systems QA engineer (automotive data engineering)
Builds
End-to-end data plane and control plane pipelines connecting embedded vehicle components to cloud analytics platforms
Domain
Automotive / Connected Vehicles / Cloud Data Engineering
Required skills
Python, C/C++, Rust, Java, SQL, Linux, QNX, Android, Hardware-in-the-Loop (HIL) testing, CI/CD, Git, Agile
Preferred skills
Observability platforms (Datadog, Grafana, OpenTelemetry), Data platforms (Databricks, Spark, Kafka), Cloud (AWS, Azure), Automotive protocols (CAN, SOME/IP, UDS), Telecommunication networks (4G/5G, LTE-V2X)
Responsibilities
Formulate and execute comprehensive test plans for data/control planes; Configure and maintain HIL tests on benches and instrumented vehicles; Conduct integration, latency, and throughput testing across edge and cloud; Validate data serialization, pipeline throughput, and database persistence; Leverage monitoring dashboards for anomaly detection and root-cause analysis; Build automated regression suites integrated into CI/CD pipelines; Partner with embedded software developers and cloud teams for system integration.
Seniority
Senior, hands-on IC