Execute bring-up of new SoCs and boards from first power-on through validation sign-off, register-level debug, protocol analysis, and root-causing issues across hardware, software, and test infrastructure Run validation test plans against design specs and triage failures at the bench with lab instrumentation (scopes, logic analyzers, power analyzers), collaborating with design teams to drive issues through to closure Build and maintain internal tools, dashboards, and automation that give hardware and lab engineers visibility into lab state, device health, and validation progress Develop shared instrumentation/automation libraries used across lab teams, and APIs/data pipelines that tie lab instrumentation and validation tooling into a coherent platform Apply AI-assisted development to lab tooling, including plugins, custom skills, and agentic workflows Deploy and operate the Kubernetes infrastructure these tools run on, working closely with hardware, software, and lab infrastructure teams to reduce manual toil and improve observability across bring-up and lab automation workflowsBachelor's degree required. This work involves close collaboration with hardware, software, and infrastructure teams to enable rapid data exploration, debug large-scale systems, and implement alerting mechanisms that enhance observability and transparency across automation workflows.