Wifi Connectivity Test Engineer

Description -

Role Overview

QA Specialist ensures products and solutions meet real-world customer expectations by validating usability reliability and end-to-end experience beyond functional correctness in connected ecosystem.

This role integrates Quality Engineering Data Engineering and AI-driven insights to translate customer journeys usage signals and feedback into measurable acceptance criteria actionable insights and informed release-readiness decisions. The specialist works closely with Product Management Engineering UX and Quality teams to proactively identify customer friction predict acceptance risks and drive customer-aligned quality outcomes.

Responsibilities
Installs configures and tests and maintains operating systems application software and system management tools with a high degree of expertise and independence.
Monitors and tests application performance for potential bottlenecks identifies possible solutions and works with developers to implement those fixes.
Designs enhancements updates and programming changes for portions and subsystems of systems software including operating systems compliers networking utilities databases and Internet-related tools.
Analyzes design and determines coding programming and integration activities required based on general objectives and knowledge of overall architecture of product or solution.
Writes and executes complete testing plans protocols and documentation for assigned portion of application; identifies and debugs and creates solutions for issues with code and integration into application architecture.
Creates and maintains detailed technical documentation including system architecture diagrams design specifications and user manuals.
Leads a project team of other software systems engineers and internal and outsourced development partners to develop reliable cost effective and high quality solutions for assigned systems portion or subsystem.
Collaborates and communicates with management internal and outsourced development partners regarding software systems design status project progress and issue resolution.
Represents the software systems engineering team for all phases of larger and more-complex development projects.
Provides guidance and mentoring to less- experienced staff members.

Education & Experience Recommended
Four-year or Graduate Degree in Computer Science Information Systems or any other related discipline or commensurate work experience or demonstrated competence.
Typically has 4-7 years of work experience preferably in systems engineering computer programming language or a related field or an advanced degree with 3-5 years of work experience.


Knowledge & Skills
Agile Methodology
Amazon Web Services
Application Programming Interface (API)
Automation
C (Programming Language)
Computer Science
Debugging
Docker (Software)
Full Stack Development
Java (Programming Language)
JavaScript (Programming Language)
Kubernetes
Linux
Microservices
Microsoft Azure
Python (Programming Language)
Scalability
Software Development
Software Engineering
SQL (Programming Language)

Customer Acceptance & Quality

• Perform Customer Acceptance Assessments (CAA) using real-world customer journeys personas and behavior patterns due to connectivity failures.
• Translate customer expectations into clear testable acceptance criteria across firmware software cloud and solution layers.
• Identify usability gaps workflow friction reliability risks error-recovery issues and experience inconsistencies.
• Execute exploratory scenario-based and hypothesis-driven testing focused on customer usefulness and experience.
• Communicate customer impact and recommendations to stakeholders.

Data & Insights

• Analyze customer feedback telemetry defects test results and usage analytics.
• Design and support data pipelines for multi-source quality data.
• Build dashboards and metrics for acceptance and release readiness.

AI-Enabled Quality

• Apply AI-assisted analysis to predict customer friction and acceptance risks.
• Prepare datasets for ML models and AI agents.
• Integrate acceptance signals into AI-native quality platforms.

Required Skills

• Quality Analysis and Customer Experience
• SQL/Python Data Engineering fundamentals
• AI-driven quality and predictive analytics

Cross-Org Skills
Effective Communication
Results Orientation
Learning Agility
Digital Fluency
Customer Centricity

Impact & Scope
Impacts multiple teams and may act as a team or project leader providing direction to team activities and facilitates information validation and team decision making process.

Complexity
Responds to moderately complex issues within established guidelines.

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.

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Equal Opportunity Employer (EEO) -

HP Inc. provides equal employment opportunity to all employees and prospective employees without regard to race color religion sex national origin ancestry citizenship sexual orientation age disability or status as a protected veteran marital status familial status physical or mental disability medical condition pregnancy genetic predisposition or carrier status uniformed service status political affiliation or any other characteristic protected by applicable national federal state and local law(s).

Please be assured that you will not be subject to any adverse treatment if you choose to disclose the information requested. This information is provided voluntarily. The information obtained will be kept in strict confidence.

For more information review HPsEEO Policy or read about your rights as an applicant under the law here: Know Your Rights: Workplace Discrimination is Illegal