Qualcomm is Hiring for Associate Engineer

Job Overview

Qualcomm India Private Limited is looking for a passionate and skilled Associate Engineer to join its Software Test Engineering team in Chennai. This role involves working on the Qualcomm Cloud AI100 platform with a focus on testing software and firmware features, automating execution and reporting, analyzing bugs, and ensuring high-quality deliverables. The position is ideal for fresh graduates or early-career professionals eager to work in AI/ML testing environments and develop innovative solutions in cloud-based systems.

Job Details

Company: Qualcomm India Private Limited
Job Position: Associate Engineer – Cloud ML Test Engineering
Location: Chennai, Tamil Nadu, India
Qualification: Bachelor’s degree in Computer Science, Electronics & Communication, or a related field
Experience: 0–1 Years (Internship in Cloud AI/ML is an added advantage)
Estimated Salary: ₹6–9 LPA

Key Responsibilities

  1. Define and design tests for software and firmware features on the Qualcomm Cloud AI100 platform.
  2. Enable automated test execution, data collection, and reporting for system validation.
  3. Collaborate with development and architecture teams to understand new accelerator features.
  4. Analyze and debug complex software and system issues effectively.
  5. Ensure production-grade software/firmware delivery to customers.
  6. Maintain and update test cases and automation scripts as per project requirements.
  7. Support system-level testing for new releases and updates.
  8. Generate detailed reports and communicate test results with cross-functional teams.
  9. Troubleshoot integration issues in AI/ML systems.
  10. Participate in design and code reviews to enhance software quality.
  11. Contribute to continuous improvements in testing efficiency and process optimization.
  12. Assist in setting up and maintaining test infrastructure and environments.
  13. Work on performance benchmarking and regression analysis.
  14. Document all test procedures and outcomes clearly for reference.
  15. Adhere to Qualcomm’s policies and maintain confidentiality in all testing processes.
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Required Skills and Knowledge

  1. Strong knowledge of Python and Shell scripting.
  2. Solid understanding of Object-Oriented Programming (OOP) concepts.
  3. Good understanding of ML/DL/LLM architectures.
  4. Familiarity with AI inferencing frameworks such as vLLM, Triton, or Dynamo.
  5. Ability to debug complex issues effectively.
  6. Strong analytical and problem-solving skills.
  7. Willingness to learn and adapt to new technologies.
  8. Basic understanding of embedded systems and testing.
  9. Experience with cloud platforms is advantageous.
  10. Strong communication and teamwork abilities.
  11. Understanding of software testing methodologies.
  12. Exposure to CI/CD pipelines is a plus.
  13. Knowledge of version control tools like Git.
  14. Familiarity with Linux operating systems.
  15. Self-driven attitude with a focus on quality and precision.

About Qualcomm

Qualcomm is a global leader in wireless technology innovation, driving the future of connected devices and intelligent computing. The company focuses on advancing 5G, AI, and edge computing solutions to power transformative technologies worldwide. With a strong commitment to research, innovation, and inclusion, Qualcomm empowers engineers and innovators to shape the next generation of smart devices and systems.

Why Join Qualcomm

  1. Opportunity to work with world-class engineers in AI and cloud technology.
  2. Exposure to cutting-edge innovation in wireless and AI computing.
  3. A supportive, inclusive, and growth-oriented work culture.
  4. Competitive compensation and benefits package.
  5. Access to continuous learning and development programs.
  6. Chance to work on products that have global impact.
  7. Encouragement to innovate and contribute to groundbreaking projects.
  8. Comprehensive health and wellness benefits.
  9. Financial programs for a secure future.
  10. Opportunities for global collaboration and knowledge sharing.
  11. Tuition reimbursement and mentorship programs.
  12. Strong focus on employee well-being and work-life balance.
  13. Freedom to experiment with emerging technologies.
  14. Recognition and rewards for innovation and performance.
  15. Be part of a company shaping the future of AI and communication.
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