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Lead AI/ML Software Engineer

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Onsite

Lead AI/ML Software Engineer

Qualcomm

Lead AI/ML Software Engineer

Skills

Big DataData EngineeringDockerReactNodePythonJavaMicroservicesJenkinsMachine LearningAIAWSGitHubKubernetesAzure

1 month ago

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Important information


Contract type:

Permanent

Location:

Hyderabad, Telangana, India

Work mode:

Onsite

Published on:

23 September 2026

What they need


Job Summary

As a leading technology innovator, Qualcomm pushes the boundaries of what's possible to enable next-generation experiences and drives digital transformation to help create a smarter, connected future for all. As a Qualcomm Software Engineer, you will design, develop, create, modify, and validate embedded and cloud edge software, applications, and/or specialized utility programs that launch cutting-edge, world class products that meet and exceed customer needs. Qualcomm Software Engineers collaborate with systems, hardware, architecture, test engineers, and other teams to design system-level software solutions and obtain information on performance requirements and interfaces.

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 Engineering or related work experience.
  • OR PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.
  • 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.

Location

Hyderabad

About the Role

We are seeking an enthusiastic and versatile Senior Lead Engineer to join our dynamic team. The ideal candidate will have a strong software engineering background with the ability to seamlessly navigate multiple programming languages based on project and initiative needs. This role demands a proactive individual with expertise in automation, CI/CD pipelines, and advanced skills in AI/ML to drive end-to-end initiatives and deploy scalable applications.

Key Responsibilities

  • AI Automation
    • Design and implement workflows using LLM-based agents for reasoning and vulnerability detection.
    • Integrate Model Context Protocol (MCP) for contextual data enrichment.
    • Develop multi-agent architectures for collaborative analysis and decision-making.
  • Full-Stack Development
    • Build and maintain web dashboards, RESTful APIs, and microservices.
    • Develop scalable front-end applications (React/Angular/Vue) and back-end services (Python/Node.js/Java).
    • Ensure robust CI/CD pipelines for deployment on cloud or on-prem servers.
  • DevOps Infrastructure
    • Implement containerized deployments (Docker/Kubernetes).
    • Optimize workflows for high availability and performance.

Required Qualifications

  • 68+ years of experience with a Bachelors or masters in computer science, Engineering, or related field.
  • Proficiency in multiple programming languages (e.g., Python, Java, C++).
  • Strong expertise in automation tools and CI/CD pipelines (e.g., Jenkins, Azure DevOps, GitHub Actions).
  • Proven experience in AI/ML application development and deployment.
  • Solid understanding of cloud platforms and container orchestration (Azure, AWS, Kubernetes).
  • Excellent problem-solving, communication, and leadership skills.

Preferred Skills

  • Experience with data engineering and big data technologies.
  • Knowledge of security best practices in software development.
  • Familiarity with DevOps culture and tools.
  • Program Analysis
    • Automate build instantiation and generate artifacts like dependency graphs.
    • Work with static and dynamic analysis tools (e.g., CodeQL, Klocwork, fuzzing frameworks) to identify vulnerabilities.
    • Contribute to security-focused automation pipelines.

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