Engineer, Staff-Embedded, AI inference ( preferred ) Release engineer

Engineering Group, Engineering Group > Software Engineering

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

AI/ML SW Product Release Manager

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
• 2+ years of work experience with programming languages such as C, C++, Java, Python, etc.

Join a new and growing team at Qualcomm focused on advancing state-of-the-art in Machine Learning.

The team uses Qualcomm chips extensive heterogeneous computing capabilities and engineers them to allow the running of trained neural networks on device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. See your work directly impact billions of mobile devices around the world.

• Release Planning and Coordination:
  • Work closely with product leads, development QA teams to plan and schedule SDK releases.
  • Coordinate release activities, ensuring alignment with project timelines.
• Cross-Functional Collaboration:
  • Collaborate with product leads, development, and testing teams to ensure smooth execution of SDK releases.
• Risk Management and Quality Assurance:
  • Identify potential risks and obstacles that may impact release schedules and communicate them with product leads and other stakeholders.
  • Implement strategies to mitigate risks and ensure high-quality deliverables.
  • Monitor and track release progress, addressing any deviations promptly.
• Deployment and Communication:
  • Oversee the deployment of SDK releases, ensuring they meet quality standards.
  • Communicate release status, updates, and any critical information to relevant teams.
  • Maintain clear documentation related to each release.
• Process Optimization:
  • Continuously improve processes, aiming for efficiency and effectiveness.
  • Explore opportunities for automation and streamlined workflows.
• Agile Methodologies and Best Practices:
  • Apply agile methodologies to manage releases effectively.
  • Foster a culture of continuous improvement within the team.

• Bachelors/Master's degree in a relevant field (Computer Science, Engineering, or equivalent).
• Proven experience as a Release Manager, Delivery Manager, or similar role.
• Experience working in agile delivery teams including scrum or Kanban based delivery activities.
• Experience of leadership of team delivering software development
• Working knowledge of Software Development Lifecycle
• Prior development skills in C++, Python environments and well versed in version control tools like git and familiar with DevOps practices and tools.
• Experience understanding of embedded systems SW development or equivalent.
• Understanding of Deep Learning fundamentals and knowledge of AI technologies and SDK development is a plus.
• Excellent communication skills (verbal, presentation, written)
• Ability to collaborate across a globally diverse team and multiple interests.