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

Company

Job Area

Engineering Group, Engineering Group > Software Engineering

Job Summary

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

Minimum Qualifications

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.

Job Overview

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.

Responsibilities

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.

Qualifications

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.