Q

Qualcomm

Designs mobile chips and licenses wireless patents

Staff Engineer - GenAI Platforms & Agentic SDLC, Software Engineering

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeHyderabad, Telangana, IndiaNo salary listedIn-person

About the Job

Requirements

  • A Bachelor's degree in Engineering, Information Systems, Computer Science, or a related field and at least 4 years of software engineering or related work experience; or a Master's degree in those fields and at least 3 years of related work experience; or a PhD in those fields and at least 2 years of related work experience.
  • At least 2 years of work experience with a programming language such as C, C++, Java, or Python.
  • A Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 8–12 years of experience in software engineering or platform development.
  • Strong hands-on experience with distributed systems, cloud platforms, and APIs.
  • Strong hands-on experience with AI/ML systems, LLMs, or GenAI frameworks.
  • Strong hands-on experience with developer tools, CI/CD, and SDLC processes.
  • A proven track record of building scalable platforms or frameworks used across teams.

Responsibilities

  • Design and build GenAI platform capabilities, including reusable AI skills and agents, MCP servers, orchestration frameworks, and tooling and integrations for internal platforms and enterprise data sources.
  • Ensure seamless integration with development, testing, and operational systems.
  • Develop and curate reusable prompts, skills, and workflows to accelerate adoption across engineering teams.
  • Establish validation frameworks to ensure the quality, accuracy, and robustness of AI-driven assets.
  • Drive standardization and reuse across teams and business units.
  • Lead the operationalization of QGenie-based workflows across CPSE use cases.
  • Transform and agentify existing engineering workflows into scalable, reusable AI-driven solutions.
  • Identify and prioritize high-impact workflows for automation and AI enablement across teams.
  • Define and implement agent-driven SDLC workflows covering coding and code generation, code review and validation, test automation and coverage, release and deployment orchestration, debugging and root-cause analysis, and production monitoring and operations.
  • Enable end-to-end automation and intelligent orchestration across the SDLC lifecycle.
  • Establish frameworks for AI governance and compliance, observability of GenAI systems, and traceability of decisions and outputs.
  • Ensure enterprise readiness with security, auditability, and reliability in production environments.
  • Partner with QGenie teams, business units, and GEO organizations to drive adoption across regions, align on platform capabilities and priorities, and scale from pilots to enterprise-wide deployment.
  • Act as a technical leader and evangelist for AI-native engineering transformation.
  • Drive cross-functional initiatives with measurable business impact.
  • Mentor engineers and shape organization-wide engineering practices.
  • Use a data-driven approach to evaluate AI effectiveness and adoption.

Desired Qualifications

  • Experience with agentic systems, workflow orchestration, or AI copilots.
  • Experience with prompt engineering, evaluation frameworks, and LLM integrations.
  • Experience with observability platforms and production AI systems.
  • Exposure to enterprise-scale AI adoption programs or platform engineering.

About the Company

Qualcomm

Designs mobile chips and licenses wireless patents

Qualcomm designs the Snapdragon processors and modems inside many Android phones, and it licenses its wireless patents to device makers around the world. It helped commercialize CDMA, the cellular technology behind 3G networks, and its patents cover core parts of the 4G and 5G standards that phones use to connect. The company does not run its own chip factories; contract foundries make its chips, which it sells to makers of phones, PCs, cars, and connected devices. Device makers also pay Qualcomm royalties for using its patented technology, which forms a second business alongside chip sales. Qualcomm was founded in 1985 and is based in San Diego, California.

Company size
10,001+
Company stage
IPO
Headquarters
San Diego, CA
Founded
1985

Recently Posted Jobs

Explore more opportunities at Qualcomm

See more jobs