Senior Embedded Software Architect Engineer

Qualcomm; Chennai District; On-site; INR 2,400,000 - 4,200,000; Full time

Job summary

Qualcomm India Private Limited seeks a senior software architect to define and drive the architecture for embedded SDK platforms across Linux, Android, Zephyr, QNX and more. You will lead multi-OS software strategy, frameworks, and tooling while coordinating with silicon, OS, AI, and security teams.

The role emphasizes lifecycle leadership, performance, security, and scalability, with opportunities to mentor engineers and shape platform roadmaps in a global context.

Qualifications

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field with 4+ years of software engineering experience.
• Master's degree in Engineering, Information Systems, Computer Science, or related field with 3+ years of software engineering experience.
• PhD in Engineering, Information Systems, Computer Science, or related field with 2+ years of software engineering experience.
• 2+ years of work experience with programming languages such as C, C++, Java, Python, etc.

Responsibilities

• Define architecture, roadmap, and technical direction for Embedded SDK platforms across heterogeneous compute environments.
• Architect reusable software frameworks, APIs, middleware, and runtime environments for multi-OS and multi-processor deployments.
• Lead software programs through the complete lifecycle from requirements to commercialization and sustaining engineering.
• Architect AI-enabled agentic capabilities and enable on-device AI workloads on Qualcomm platforms.
• Collaborate with silicon, OS, AI, security, and developer tooling teams to influence roadmaps and standards.

Skills

C/C++, Java, Python

Education

Bachelor's degree in Engineering/CS/IS

Master's degree in Engineering/CS/IS

PhD in Engineering/CS/IS

Tools

C/C++

Java

Python

Job description

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.

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