Wireless Quality Analyst Engineer
Job Summary
Description -
Role Summary
The Wireless QA Expert ensures reliable resilient and interoperable connectivity across devices firmware applications cloud services and customer network environments. The role applies system-level and AI-driven approaches to proactively prevent connectivity failures improve recovery and enhance customer experience across home pro and enterprise ecosystems.
Key Responsibilities
Define and drive end-to-end connectivity resiliency strategy including NFRs recovery paths and failure handling.
Lead and develop test strategies for big rock connectivity initiatives like BTG S&O China Cloud etc.
Architect a typical end user environment data-aware test lab with automated log tagging telemetry and issue correlation.
Identify and mitigate ecosystem breakage points through system-level testing fault injection and interoperability validation.
Leverage AI-assisted observability telemetry and automation to proactively detect issues and reduce customer impact.
Use ML models to detect anomalies predict failures identify coverage gaps and classify connectivity issues.
Act as a cross-functional technical authority influencing FW app cloud DevOps and QA teams to embed resilience early in the SDLC.
Evaluate performance metrics like connect time job latency throughput drop rates roaming and RF resilience.
Key Qualifications Skills & AI Expertise
Strong expertise in networking fundamentals including TCP/IP IPv4/IPv6 DNS DHCP routing and network security concepts.
Deep hands-on experience with wireless technologies: IEEE 802.11 a/b/g/n/ac/ax/be (Wi-Fi 4/5/6/6E/7) WPA2/WPA3 802.1X PMF roaming (802.11k/v/r) OFDMA MIMO/MU-MIMO and multi-AP environments.
Experience validating wireless interoperability across diverse access points controllers mesh networks and complex enterprise topologies.
Strong understanding of wireless performance reliability and resiliency factors including congestion interference roaming failures authentication failures and recovery scenarios.
System-level understanding across firmware applications cloud platforms and devices.
Experience using telemetry analytics and AI-assisted insights for reliability and quality improvement.
Familiarity with anomaly detection trend analysis predictive failure identification and agentic AI frameworks.
Hands-on experience with fault injection observability platforms automation protocol analysis and data-driven quality.
Strong collaboration and influence skills across cross-functional engineering teams.
Success Metrics
Reduction in wireless and connectivity-related customer incidents and field escapes.
Improved wireless stability roaming success rate and resiliency across real-world network scenarios.
Increased observability and predictive coverage for connectivity failures.
Positive impact on customer experience metrics such as NPS reliability and connectivity ratings.
Cross-Org Skills
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity
Impact & Scope
Impacts function and leads and/or provides expertise to functional project teams and may participate in cross-functional initiatives.
Complexity
Works on complex problems where analysis of situations or data requires an in-depth evaluation of multiple factors.
Disclaimer
This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties skills responsibilities knowledge etc. These may be subject to change and additional functions may be assigned as needed by management.
Job -
SoftwareSchedule -
Full timeShift -
No shift premium (India)Travel -
Relocation -
Equal Opportunity Employer (EEO) -
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Required Experience:
IC