Qualcomm
Website:
qualcomm.com
Company:
https://www.linkedin.com/company/qualcomm
Seniority: Not Applicable
Industries: Semiconductor Manufacturing
Job details:
Company:
Qualcomm India Private Limited
Job Area:
Engineering Group, Engineering Group > Software Engineering
General Summary:
Job Overview
Qualcomm is seeking a Senior Engineer to develop, integrate, debug, and optimize platform software for next-generation SoC platforms. This role requires strong system-level expertise across Linux, Android, Zephyr, FreeRTOS, DSP, connectivity, power management, and AI-enabled systems.
The successful candidate will contribute to platform bring-up, subsystem integration, performance optimization, customer issue resolution, and product commercialization while working closely with cross-functional engineering teams.
Key Responsibilities
- Develop and integrate platform software across Linux, Android, Zephyr, FreeRTOS, firmware, middleware, and subsystem interfaces.
- Support platform bring-up, feature enablement, and software readiness for new silicon programs.
- Investigate and resolve complex issues spanning hardware, firmware, kernel, middleware, and application layers.
- Analyze and optimize system behavior across power, performance, memory, thermal, reliability, and user experience dimensions.
- Diagnose issues involving CPU, DSP, GPU, memory, storage, clocks, regulators, thermal management, and connectivity subsystems.
- Collaborate with silicon, firmware, validation, and software teams to deliver high-quality platform solutions.
- Drive customer issue investigations from problem identification through root-cause analysis and resolution.
- Contribute to automation, observability, and engineering productivity initiatives.
Technical Leadership
- Drive technical execution within assigned platform and subsystem domains.
- Apply structured debugging techniques including instrumentation, tracing, failure reproduction, cross-system correlation, and root-cause isolation.
- Utilize profiling and observability tools to identify bottlenecks and validate optimizations.
- Participate in architecture reviews, design discussions, and technical problem solving.
- Contribute to technical decisions involving performance, power, reliability, cost, and schedule trade-offs.
- Mentor junior engineers and promote software quality and debugging best practices.
- Leverage AI-assisted engineering tools to improve development efficiency and engineering productivity.
Program Execution
- Own execution of assigned features and technical deliverables.
- Support milestone planning, risk identification, and issue tracking.
- Drive closure of critical software defects impacting product readiness.
- Support product validation, characterization, and performance analysis activities.
- Collaborate across engineering disciplines to meet schedule and quality goals.
Customer & Stakeholder Engagement
- Participate in customer debugging sessions and technical reviews.
- Support analysis and resolution of customer-reported issues and escalations.
- Communicate technical status, risks, and mitigation plans to stakeholders.
- Work closely with architects, program managers, and engineering teams to ensure successful execution.
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 development.
- Strong programming skills in C/C++.
- Experience with system-level debugging, performance analysis, and software integration.
- Understanding of modern SoC architectures and subsystem interactions.
Preferred Qualifications
- Experience with Linux, Android, Zephyr, FreeRTOS, DSP, GPU, modem, connectivity, PMIC, power management, and AI accelerator subsystems.
- Experience with platform bring-up, subsystem integration, performance tuning, crash analysis, and reliability engineering.
- Familiarity with system profiling, tracing, observability, and debug tools.
- Understanding of system-level trade-offs across power, performance, memory, thermal, and user experience metrics.
- Experience using AI-assisted engineering tools such as Claude Code, Claude CLI, GitHub Copilot, MCP agents, and related workflows.
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field.
- 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.
Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).
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If you would like more information about this role, please contact Qualcomm Careers.
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