About The Position

As a leading technology innovator, Qualcomm pushes the boundaries of what is possible to enable next generation experiences while driv ing digital transformation to help create a smarter, connected future for all. As part of the AISW engineering team , you will participate in delivering machine learning techniques, frameworks, and tools that enable the efficient utilization of state-of-the-art machine learning solutions over a broad set of technological verticals or designs. In this position you will be r esponsible for designing and implementing the evolution of our development and production environments across our Qualcomm platforms , building and supporting the continuous integration (CI) infrastructure in North America in alignment with the rest of the global AISW team and Corporate. You will also be responsible for enabl ing efficient software development environments and integration pipelines , end to end quality assurance and deployment of the AISW commercial products in the global AISW organization . You will show your passion for efficient end-to-end delivery of software with highest quality standards through your analytical, design, programming, and integration skills.

Requirements

  • 4+ years of experience in software engineering and release engineering/devops
  • Expertise with Python and in scripting languages (Bash)
  • Experience in software build/release/deployment.
  • Experience with Source Control Management (GIT) and CI/CD systems (Jenkins, Gitlab CI, GitHub actions, TeamCity or similar)
  • Experience with Linux or Unix based OS systems software development environment
  • Effective English communication skills (verbal, presentation, written)
  • Exposure to issues and project tracking software (JIRA) and triaging process.
  • Previous experience working in an Agile environment, and collaborating with multi-disciplinary teams
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
  • Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
  • PhD in Engineering, Information Systems, Computer Science, or related field.
  • 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Nice To Haves

  • Programming/debugging skills in more than one programming language (C/C++ preferred)
  • 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 Software Builds and CI on Windows platforms
  • Experience with Android or other embedded systems and developing tools for embedded platforms.
  • Experience working with virtualization techniques and containerization technologies such as Docker
  • Experience with automated generation and maintenance of complex software documentation.
  • Ability to collaborate across a globally diverse team and multiple interests

Responsibilities

  • Design, implement, and maintain the CI infrastructure to ensure efficient, reliable, and functional software builds.
  • Develop and optimize software build recipes to support the engineering team's needs.
  • Collaborate with cross-functional teams across the globe to ensure seamless integration of development tools and processes.
  • Continuously enhance the development environment and CI infrastructure while resolving any issues.
  • Stay up to date with industry trends and best practices to continuously improve the development of pipelines and CI practices.
  • Develop, advertise, and maintain documentation for CI processes, dev. and production environments and build strategies.
  • Align with Corporate infrastructure whenever possible to leverage their expertise and support, hence enabling the team to focus on core AISW value add.
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