Company

Qualcomm India Private Limited

Job Area

Engineering Group, Engineering Group > Software Engineering

General Summary

As a leading technology innovator, Qualcomm pushes the boundaries of what is possible to enable next-generation intelligent computing, AI, connectivity, and low-power embedded technologies.

As a Senior Embedded Software Architect Engineer, you will drive the architecture, design, and evolution of embedded software platforms, developer frameworks, and SDKs that enable internal engineering organizations, OEMs, ISVs, and ecosystem partners to build applications and services across heterogeneous computing environments.

You will serve as a technical architect responsible for defining scalable Embedded SDK and Agentic SDK strategies spanning multiple operating systems, processors, and software subsystems. This role requires deep expertise across the complete software development lifecycle, from requirements analysis and architecture through implementation, validation, commercialization, and long-term platform evolution.

You will collaborate with software, hardware, AI, systems, security, tooling, and product teams to create developer experiences that accelerate adoption of Qualcomm technologies across mobile, IoT, XR, automotive, industrial, and edge-AI platforms.

Responsibilities

SDK Architecture & Platform Strategy

Define the architecture, roadmap, and technical direction for Embedded SDK platforms supporting heterogeneous compute environments.
Architect reusable software frameworks, APIs, middleware layers, tooling, and runtime environments that operate across multiple operating systems and processor architectures.
Drive architecture decisions for Agentic SDK platforms enabling autonomous workflows, AI agents, orchestration frameworks, and edge intelligence solutions.
Establish long-term platform strategies balancing developer productivity, portability, performance, power efficiency, security, and scalability.

Software Architecture

Design software architectures supporting Qualcomm SoCs comprising CPUs, DSPs, NPUs, MCUs, accelerators, and secure execution environments.
Define software decomposition, interface specifications, service boundaries, and integration requirements across subsystems.
Develop architectural solutions supporting multi-OS deployments including Linux, Android, Zephyr, QuRT, QNX, Windows, and emerging RTOS environments.
Drive architecture reviews and technical governance processes across multiple engineering organizations.

Software Development Lifecycle Leadership

Lead software programs through the complete software development lifecycle including:

Requirements analysis
Architecture definition
Design specification
Development
Integration
Validation
Release management
Commercialization
Sustaining engineering

Ensure platform designs meet performance, reliability, scalability, maintainability, and security requirements.
Establish architecture documentation, reference implementations, coding standards, and platform adoption guidelines.

Agentic AI Enablement

Architect frameworks enabling AI agents to interact with embedded systems, sensors, edge-AI services, and device resources.
Define SDK interfaces for model execution, orchestration engines, memory systems, telemetry, context management, and tool invocation.
Design software abstractions supporting on-device AI workloads across constrained embedded environments.
Collaborate with AI framework teams to enable deployment of agentic and generative AI capabilities on Qualcomm platforms.

Cross-Functional Collaboration

Partner with silicon architects, systems teams, operating system teams, AI researchers, security architects, and developer tooling organizations.
Influence future chipset software roadmaps through architecture proposals and technical leadership.
Mentor software engineers and contribute to technical growth across the organization.
Represent Qualcomm with OEMs, ecosystem partners, standards bodies, and open-source communities when required.

Minimum Qualifications

Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.

OR

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

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

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