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 methodologies.

Experience leading customer-facing debug activities and product escalations.

Hands-on use of AI-assisted engineering tools including Claude Code, Claude CLI, GitHub Copilot, MCP agents, and automated engineering workflows.

Strong architectural mindset with the ability to balance performance, power, cost, schedule, and product requirements

Minimum Qualifications:

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software .