automation-frameworks jobs in San Diego

Support large-scale 4G LTE and 5G NR modem validation and software integration by monitoring wireless test infrastructure, performing technical triage and failure analysis, and developing Python-based automation tools and AI-enabled workflows. Analyze logs, crash dumps, and test results to identify issues; develop and execute integration test strategies for functional and system-level validation of MPSS images across platform bring-ups and feature releases.…See more Collaborate with cross-functional teams to improve platform reliability, generate operational metrics, and support on-time delivery of modem release milestones.

Qualcomm's Location Technology team seeks a Senior Engineer to validate and commercialize next-generation positioning solutions (GNSS, Assisted GNSS, cellular, Wi-Fi, sensor fusion) across mobile, automotive, wearables, XR, and IoT platforms. The role focuses on system-level test strategy development, log/trace analysis, and root-cause debugging of complex multi-sensor location systems.…See more A key expectation is building automation tools, data-analysis pipelines, and AI-assisted workflows to accelerate test development, log analysis, KPI evaluation, and reporting. The candidate will collaborate with systems, software, algorithms, and product teams to drive feature commercialization and continuous engineering productivity improvements.

Staff Platform Engineer at Shield AI responsible for designing, building, and operating highly available cloud and hybrid infrastructure platforms supporting mission-critical systems. The role spans infrastructure-as-code development, CI/CD pipeline enhancement, developer tooling, and platform automation to accelerate engineering productivity.…See more Requires 8+ years of platform engineering, DevOps, or SRE experience with deep hands-on expertise in cloud infrastructure, networking, identity, storage, and infrastructure automation across Linux environments. Expected to partner with security teams on compliance and DevSecOps practices, establish scalable platform patterns, and lead complex platform initiatives across large-scale engineering organizations.