Lead Engineer, Systems Software & Platform Engineering

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

Job Overview

Qualcomm is seeking a Lead Engineer to drive platform software development, subsystem integration, technical execution, and system optimization for next-generation SoC products. The role requires broad expertise across Linux, Android, Zephyr, FreeRTOS, DSP, GPU, modem, connectivity, power management, and AI-enabled systems, combined with the ability to lead engineers and influence technical direction.

The ideal candidate is a hands-on technical leader capable of solving complex cross-functional system challenges while driving execution across multiple engineering disciplines.

Key Responsibilities

• 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.
• Own delivery of critical platform capabilities and subsystem features.
• Optimize platform behavior across power, performance, memory, thermal, reliability, and user experience metrics.
• Lead investigations involving CPU, DSP, GPU, memory, storage, interconnects, clocks, regulators, thermal management, and connectivity subsystems.
• Drive customer issue resolution and support key product milestones.
• Partner with silicon, firmware, software, validation, and product teams to deliver scalable platform solutions.

Technical Leadership

• Provide technical leadership across Linux, Android, Zephyr, FreeRTOS, DSP, GPU, modem, connectivity, PMIC, power management, and AI/ML accelerators.
• Drive architecture discussions and technical trade-offs across performance, power, cost, schedule, reliability, and product requirements.
• Lead system-level debugging using instrumentation, tracing, profiling, and cross-subsystem analysis.
• Establish best practices for observability, performance analysis, and reliability engineering.
• Mentor engineers on architecture, debugging methodologies, and software engineering practices.
• Champion AI-assisted engineering workflows to improve productivity and software quality.

Program Execution

• Own execution of subsystem and platform-level deliverables.
• Drive technical planning, risk assessment, and mitigation activities.
• Coordinate execution across software, firmware, validation, and hardware teams.
• Lead critical bug triage, readiness reviews, and commercialization efforts.
• Provide technical status, execution updates, and risk assessments to leadership.

People & Team Leadership

• Provide day-to-day technical leadership for engineering teams.
• Mentor engineers and support technical growth and career development.
• Drive engineering excellence through design reviews, code reviews, and debugging best practices.
• Foster a culture of ownership, collaboration, accountability, and continuous improvement.
• Support hiring and onboarding of engineering talent.

Customer & Stakeholder Engagement

• Serve as a key technical interface for customers and internal stakeholders.
• Lead customer debugging sessions, technical reviews, and escalation management.
• Partner with product and program teams to align technical and business priorities.
• Communicate technical risks, trade-offs, and recommendations to leadership and customers.

Minimum Qualifications

• Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or related discipline.
• Experience in embedded systems, BSP, RTOS, Linux, Android, Zephyr, FreeRTOS, firmware, kernel, or platform software engineering.
• 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.

Preferred Qualifications

• Deep understanding of modern SoCs including DSP, GPU, modem, Wi-Fi, connectivity, PMIC, power management, and AI accelerator subsystems.
• Experience with Linux, Android, Zephyr, FreeRTOS, heterogeneous computing, subsystem integration, and performance optimization.
• Expertise in platform bring-up, power optimization, performance tuning, crash analysis, and reliability engineering.
• Strong understanding of profiling, tracing, observability, and advanced debugging methodolog…