Qualcomm India Hiring | Associate Engineer – Cloud Data Centre (ML Test Engineer) | Apply Now
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If you are a technology enthusiast looking to build your career in Artificial Intelligence, Machine Learning, and Cloud-based solutions, Qualcomm India Private Limited is offering an exciting opportunity for Associate Engineers in Software Test Engineering. This role is based in Chennai, Tamil Nadu, and is ideal for fresh graduates and early professionals (0–1 years of experience) eager to work on real-world AI and ML test engineering projects.
Let’s dive into the full details of this opportunity, including job responsibilities, educational qualifications, application process, interview rounds, benefits, and preparation tips to help you stand out.
About Qualcomm India
Qualcomm is one of the world’s most innovative semiconductor and wireless technology companies, powering next-generation 5G networks, IoT systems, AI-driven devices, and cloud platforms. With a strong commitment to research and development, Qualcomm India provides an ideal environment for young engineers to learn, innovate, and contribute to cutting-edge technologies that shape the future.
Job Overview
Position: Associate Engineer – Cloud Data Center (ML Test Engineer)
Location: Chennai, Tamil Nadu, India
Job Posting Date: September 30, 2025
Company: Qualcomm India Private Limited
Department: Engineering Group > Software Test Engineering
Experience Required: 0–1 Year (Freshers Eligible)
Expected Salary: ₹6 – ₹10 LPA (depending on skills and interview performance)
This role focuses on testing, validating, and optimizing AI/ML software for Qualcomm’s Cloud AI100 platform. You will collaborate closely with firmware, architecture, and software engineering teams to ensure seamless AI inferencing performance.
Key Responsibilities
As a Cloud ML Data Center Test Engineer, your day-to-day tasks will include:
- Defining and implementing test cases for software and firmware features.
- Automating test execution and reporting through advanced testing frameworks.
- Performing bug analysis and root-cause investigation of system-level issues.
- Working with AI accelerators and model inferencing frameworks.
- Ensuring the final software meets Qualcomm’s high production-grade standards.
- Coordinating with multiple technical teams to validate architecture-level performance.
Educational Qualification
To be eligible for this position, candidates should possess one of the following:
- Bachelor’s Degree in Computer Science, Electronics and Communication Engineering (ECE), Information Systems, or related fields.
- Master’s Degree in the above disciplines (optional but preferred).
- Candidates who have completed internships or coursework in AI/ML, Cloud Computing, or Data Center Technologies will have an advantage.
Required Technical Skills
Candidates must demonstrate strong foundational skills in both programming and AI frameworks, including:
- Proficiency in Python and Shell scripting.
- Understanding of Object-Oriented Programming (OOP) principles.
- Familiarity with ML/DL architectures and frameworks such as TensorFlow or PyTorch.
- Basic understanding of Large Language Models (LLMs) and AI inference engines like vLLM, Triton, or Dynamo.
- Good debugging, analytical, and problem-solving skills.
- A strong desire to learn and contribute to complex software systems.
Preferred Skills
- Internship or project experience in Cloud AI/ML environments.
- Knowledge of testing tools, CI/CD pipelines, and cloud deployment strategies.
- Familiarity with firmware-level debugging or hardware accelerators.
Application Process
Interested candidates should apply only through the official Qualcomm Careers page. Follow these steps carefully:
- Visit the Official Qualcomm Careers Page.
- Search for Job ID: 3078371 (Associate Engineer – Cloud Data Center).
- Review the job description thoroughly.
- Click “Apply Now” and create an account (if new) or log in to your existing profile.
- Fill out all required fields, upload your latest resume, and verify details before submission.
- Submit your application and note the confirmation ID for future tracking.
Interview Process
The recruitment process at Qualcomm generally includes the following stages:
- Online Assessment Test:
Focuses on coding (Python or C++), logic building, and basic machine learning concepts. - Technical Interview (Round 1):
Questions on data structures, OOP, operating systems, and scripting (Python/Shell). - Technical Interview (Round 2):
Scenario-based discussions on ML/DL frameworks, cloud architecture, and debugging cases. - HR Interview:
Evaluation of communication skills, career aspirations, and cultural fit.
Tip: Review your academic projects and prepare to explain how you contributed technically.
Benefits of Working at Qualcomm
- Competitive salary ranging between ₹6 – ₹10 LPA for entry-level roles.
- Comprehensive health insurance coverage.
- Learning and development programs through Qualcomm University.
- Work-life balance with flexible hybrid work models.
- Access to state-of-the-art AI research labs and innovation centers.
- Collaboration with world-class engineers across global teams.
Resume Tips for Applicants
A well-structured resume can help you stand out. Here are some quick suggestions:
- Start with a clear career objective focused on AI, ML, or software testing.
- Highlight projects or internships involving Python, cloud, or ML testing.
- Mention certifications or online courses related to AI, cloud computing, or automation.
- Keep it concise (one page preferred) with measurable outcomes (e.g., “Improved test coverage by 30%”).
- Double-check for grammatical or formatting errors before submission.
Recommended Courses to Strengthen Your Profile
Before or while applying, consider taking the following courses to boost your technical understanding:
- Machine Learning by Andrew Ng (Coursera)
- Python for Data Science (Infosys Springboard / Udemy)
- Cloud Computing Basics (AWS or Google Cloud)
- AI Testing Fundamentals (LinkedIn Learning)
- Data Structures & Algorithms (HackerRank or GeeksforGeeks)
Completing these certifications can enhance your confidence and technical readiness for Qualcomm’s assessment rounds.
Career Growth Opportunities
Joining Qualcomm as an Associate Engineer opens the door to multiple career paths:
- Software Test Engineer → Senior Engineer → Technical Lead → Engineering Manager
- Exposure to cutting-edge AI and 5G technologies.
- Opportunities to move into AI research, software development, or cloud architecture roles over time.
Apply Link: Click Here
Important Note
This job update is for informational purposes only. All interested candidates are advised to visit the official Qualcomm Careers website to confirm details, eligibility, and the application process. Do not rely on third-party job sites for applying.