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Job Description
Structured overview of role & requirementsAbout This Role
Develop AI-powered automation workflows and agentic AI tools to monitor device health, classify defects, and support release readiness with minimal manual effort.
Build and enhance telemetry pipelines, intelligent dashboards, and automated quality signal monitoring for connectivity device software.
Integrate LLM APIs and AI SDKs into quality toolchains; perform technical triage and stability analysis to improve pre-release device software quality.
Minimum Requirements
Bachelor's degree in Computer Science, Electronics, Engineering, or related field.
7+ years of experience in software engineering, test engineering, or device software quality.
Proven hands-on experience using AI tools (e.g., Claude, ChatGPT, Replit, Copilot) to solve engineering problems professionally.
Experience with embedded systems, connectivity device software (broadband/CPE/gateway platforms), Python or Shell scripting, CI/CD pipelines (Jenkins, GitHub, Gerrit), and Linux networking fundamentals.
Ideal Candidate Profile
Experienced in designing and implementing agentic AI workflows and AI-integrated automation pipelines for software quality.
Strong background in connectivity device software quality assurance including debugging, triaging, and stability analysis using system logs and telemetry.
Skilled in developing observability stacks with ELK, Grafana, Kibana, and applying AI-powered insights for proactive release governance.