Company:Qualcomm India Private Limited

Job Area:Engineering Group, Engineering Group > Systems Test Engineering

General Summary:

Tests and modifies general systems-level software/hardware, specialized utility and/or hardware. Interprets wireless specifications. Designs test plans, scenarios, scripts, or procedures. Documents systems-level defects, using a bug tracking system, and report defects to developers. Identifies, analyzes, troubleshoots, and documents problems with program function, output, or content. Develops testing programs that assess effectiveness of a new system or modification of an existing system.        

Minimum Qualifications:

•    Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Test Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Test Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Test Engineering or related work experience.

Job Summary:

We are seeking a highly skilled Automation Development Engineer with expertise in Cellular systems, automated on-target testing, and CI/CD integration. The ideal candidate will have a strong background in advanced Python and shell scripting, Cellular network protocols, and DevOps practices. This role involves developing automation scripts for end-to-end Cellular network, performing on-target testing, integrating continuous integration and delivery pipelines, and collaborating with global teams across different time zones.

Key Responsibilities:

Cellular systems Automation:

Develop and maintain Python based frameworks to automate tasks related to Cellular network configuration, monitoring, and management.

Utilize Cellular network protocols such as 5G, and related technologies.

Implement and manage automation frameworks for Cellular systems.

Automated On-Target Testing:

Design and execute automated tests on various cellular nodes and systems to ensure functionality, performance, and reliability.

Develop test cases and scenarios for various Cellular configurations and protocols.

Use tools like PyTest, Robot Framework, Shell and custom testing frameworks for automated testing.

CI/CD Integration:

Design, implement, and manage CI/CD pipelines for automation scripts and configurations.

Integrate automated tests into CI/CD workflows to ensure continuous validation of Cellular system changes.

Use various tools like Jenkins, GitLab and perforce for pipeline management.

Design, implement and support Data engineering and MLOps pipelines for wireless systems.

Collaboration Across Timezones:

Work closely with network engineers, DevOps teams, and software developers and testers located in different time zones to ensure seamless integration of automation solutions.

Schedule and participate in virtual meetings, ensuring effective communication and collaboration with global teams.

Provide support for production environments, including troubleshooting and resolving automation issues, while accommodating different time zones.

Qualifications:

Education:

Bachelor’s or master’s degree in engineering.

Experience:

2-7 years of relevant Experience

Technical Skills:

Proficiency in Advanced Python programming and shell scripting.

Experience with latest Cellular network protocols (eg, LTE, 5G, etc) with a solid understanding of RAN.

Strong understanding of network automation tools and frameworks.

Experience with CI/CD tools and practices (e.g., Jenkins, GitLab CI, Perforce).

Familiarity with automated testing frameworks (e.g., PyTest, Robot Framework).

Basic knowledge of MLOps tools like SageMaker, MLFlow, KubeFlow.

Soft Skills:

Excellent problem-solving and analytical skills.

Strong communication and collaboration abilities.

Ability to work in a fast-paced, agile environment.

Flexibility to work with teams across different timezones.

Preferred Qualifications:

Experience with cloud networking and automation (e.g., AWS, Azure).

Knowledge of containerization and orchestration tools (e.g., Docker, Kubernetes).

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