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High: Tier-1 brand, Bangalore metro, and popular mobile and AI engineering roles increase candidate competition.
High: specialized embedded Android, SoC, camera, and device-security skills limit cross-industry transferability.
Medium: role demands specialized embedded Android, SoC, camera, and on-device AI skills despite no explicit years requirement.
Lead product vision, prioritize features, write PRDs, and manage the product lifecycle from ideation to launch and iteration.
Develop embedded AI solutions using Python and AI frameworks on Qualcomm SOCs, building on-device/hybrid AI models with sensor integration for user experience enhancements.
Drive deep system-level Android development including camera software stacks, device security modules, kernel, drivers, firmware integration, and testing automation to ensure performance, security, and reliability.
Work Experience Required: Not explicitly mentioned in the JD.
Strong expertise in embedded AI development, Android platform customization, system software engineering, or related fields.
Hands-on experience with Qualcomm SOCs, AI frameworks, Python programming, Android Security architecture, or camera software stack development.
Full-time role based in India; no explicit mention of degree requirements or notice period.
Experienced in end-to-end ownership of product or embedded system development delivering consumer tech experiences with iterative improvements.
Technical versatility with ability to work across product management, embedded AI, Android platform, and testing automation in a cross-functional team.
Familiar with agile/hybrid development methods and comfortable working in a resourceful, startup-like environment focusing on innovation and quality.