Lead Engineer, Systems Software & Platform Engineering

About the role

Qualcomm India Private Limited seeks a Lead Engineer to drive platform software development and subsystem integration for next-generation SoC products in Bangalore, India. This role involves leading technical execution, system optimization, and cross-functional collaboration while mentoring engineering teams. The position is based on-site in Bangalore.

What you’ll do

• Lead platform bring-up, subsystem integration, and software enablement across multiple product programs
• Drive root-cause analysis and resolution of complex issues spanning hardware, firmware, kernel, middleware, and application layers
• Optimize platform behavior across power, performance, memory, thermal, reliability, and user experience metrics
• Provide technical leadership across Linux, Android, Zephyr, FreeRTOS, DSP, GPU, modem, connectivity, and AI/ML accelerators
• Mentor engineers on architecture, debugging methodologies, and software engineering practices
• Champion AI-assisted engineering workflows to improve productivity and software quality
• Own execution of subsystem and platform-level deliverables including technical planning and risk assessment
• Serve as key technical interface for customers and internal stakeholders

What you’ll bring

• Bachelor's or Master's degree in Computer Science, Engineering, or related discipline
• Experience in embedded systems, BSP, RTOS, Linux, Android, Zephyr, FreeRTOS, firmware, kernel, or platform software
• Strong expertise in platform architecture, subsystem integration, debugging, and performance optimization
• Proven ability to lead complex technical initiatives across multiple engineering disciplines
• Strong C/C++ programming skills

Nice to have

• Deep understanding of modern SoCs including DSP, GPU, modem, Wi-Fi, connectivity, PMIC, power management, and AI accelerator subsystems
• Experience with heterogeneous computing, subsystem integration, and performance optimization
• Expertise in platform bring-up, power optimization, performance tuning, crash analysis, and reliability engineering
• Hands-on use of AI-assisted engineering tools including Claude Code, GitHub Copilot, MCP agents, and automated workflows

Skills

Education

Bachelor's or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or related discipline.