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Staff AI Software Build and Release Engineer
4 months ago
General Summary
In this position you will be responsible for contributing to the software integration, quality and deployment of the next generation Qualcomm Neural Processing SDK associated tools. You will have the opportunity to show your passion for efficient end-to-end delivery of software with highest quality standards through your analytical, design, programming, and integration skills.
All Qualcomm employees are expected to actively support diversity on their teams, and in the Company.
Responsibilities:
- Contribute to the drive towards DevOps methodology with development and maintenance of CI/CD pipelines, docker containerization, automation, and API integrations.
- Ensure overall end-to-end product quality and process best practices. This includes, but not limited to, incorporation of developer code quality gates in CI, automation of testing environments, managing process and product documentation.
- Drive the packaging and deployment strategies as well as automation of product delivery.
- Interact with cross functional technology teams, understand requirements, identify process gaps and propose solutions.
- Take ownership in design and follow product lifecycle approaches to support feature development.
- Troubleshoot applications, fix bugs, and make enhancements to existing automated pipelines.
- Participate in general design and test plan reviews.
Ideal candidates for this position will demonstrate the following:
- 5+ years industry experience as DevOps and/or Release engineer, managing complex system integration and releases.
- Experience working with containerization technologies such as Docker
- Experience with Source Control Management(GIT) and CI/CD systems (Jenkins, Gitlab CI, TeamCity or similar)
- Expertise with Python and in scripting languages (Bash)
- Experience with Linux or Unix based OS systems software development environment
- Experience with automated generation and maintenance of complex software documentation.
- Previous experience working in an Agile environment, and collaborating with multi-disciplinary teams
Preferred:
- Programming/debugging skills in more than one programming languages (C/C++, Java, Python, JavaScript)
- Some experience working with deep learning models training / inference pipelines.
- Experience of profiling software and optimization techniques.
- Experience with Windows software development environment.
- Experience with Android or other embedded systems and developing tools for embedded platforms.
- Ability to collaborate across a globally diverse team and multiple interests
