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Tier-1 brand and metro location increase competition, but specialized embedded AI release skills narrow the pool.
Role requires embedded AI SDK and release expertise, limiting cross-industry transferability.
Explicit 4+ years requirement plus mandatory release/DevOps and embedded skills enforce moderate filtering.
Own planning, scheduling, and coordination of AI inference engine SDK product releases, ensuring alignment with project timelines and quality standards.
Collaborate cross-functionally with product leads, development, QA, and stakeholders to drive smooth and timely software releases and risk mitigation.
Optimize release processes using agile methodologies, including automation and continuous improvement initiatives.
Bachelor's degree in Engineering, Computer Science, or related field with 4+ years of software engineering or related work experience; alternatively Master's with 3+ years or PhD with 2+ years.
2+ years programming experience in languages such as C, C++, Java, or Python.
Proven experience as Release Manager, Delivery Manager, or similar role in software development lifecycle.
Experience with embedded systems software development or equivalent; working knowledge of version control tools like git and DevOps practices.
Experienced in leading software release and delivery teams in agile environments using Scrum or Kanban.
Strong technical background including prior development skills in C++ and Python, and familiarity with embedded system software or AI SDK development.
Comfortable coordinating across globally distributed teams, managing risks effectively, and communicating clearly with multiple stakeholders.