Embedded Software Engineer

We are looking for an Automation QA Software Engineer to join our team supporting automated testing for CPE/Wi‑Fi product lines. This role focuses on validating firmware releases, Wi‑Fi features, cloud integrations, and stability scenarios across multiple OEM router platforms. You will work closely with firmware developers, WIST, SCPS, CUJO, and Dev Ops teams to ensure high-quality releases and reliable automation pipelines.

• Design, develop, and maintain automated test cases using Python + Robot Framework for end‑to‑end development of Wi‑Fi routers and client devices.
• Work with DAL (Data Access Layer), SCL, SCPS, and cloud APIs to retrieve configuration and telemetry.
• Automate key areas such as firmware upgrade/downgrade, reboot cycles, SSH/CLI scenarios, WAN/LAN connectivity, Wi‑Fi performance, MAP‑T, security features, and device stability.
• Execute automated suites in Git Lab CI/CD pipelines and work with Dev Ops on integration and failure triage.
• Analyze test results, identify defects, categorize failures (code/lab/hardware/existing bug), and work with partners to drive closure.
• Contribute to automation improvements including reliability, flakiness reduction, resource optimization, and pipeline speed.
• Support multiple OEM models across Spectrum labs with 80+ chambers and remote lab access.
• Collaborate with onsite/offshore teams to meet delivery milestones and maintain test coverage targets.
• Document test plans, automation design, test execution results, and best practices.

• Strong experience in Python and automation frameworks (Robot Framework preferred).
• Hands‑on knowledge of networking fundamentals: DHCP, DNS, TCP/IP, Wi‑Fi standards (Wi‑Fi 6, 6E,
  7), IPv6, MAP‑T, routing.
• Experience working with Linux/Unix, SSH/CLI, and embedded devices.
• Familiarity with Git Lab pipelines, Git, and CI/CD workflows.
• Ability to analyze logs, debug failures, and isolate reproducible defects.
• Good communication skills and ability to work with both onsite and offshore teams.
• Experience with AI/ML for test automation (log analysis, anomaly detection, predictive testing)
• Familiarity with packet capture and network analysis tools (Wireshark, tcpdump)
• Experience with multi‑vendor router platforms (Sagemcom, Sercomm, etc.)