Qualcomm is hiring for Qualcomm AI QA Engineer Jobs in India 2026. The semiconductor and AI giant has opened applications for the role of Engineer – AI Quality Assurance (QA) at its Hyderabad office (Job ID 3089447). This is a fantastic opportunity for B.E / B.Tech / B.Sc / BCA graduates with 1–3 years of experience to work on State-of-the-Art (SOTA) agentic AI systems, validation frameworks, and Generative AI safety. Read below for the full job description, eligibility, salary range in India, interview prep tips, and the official apply link.
Job Overview
| Company | Qualcomm India Private Limited |
|---|---|
| Job Role | Engineer – AI Quality Assurance (QA) |
| Job ID | 3089447 |
| Job Category | Engineering Group > Software Engineering |
| Qualification | B.E / B.Tech / B.Sc / BCA in CS / IT / Engineering (Masters with ML specialization preferred) |
| Experience | 1 – 3 Years |
| Job Location | Hyderabad, Telangana, India (+ multiple India locations) |
| Work Mode | Hybrid (Office + Remote) |
| Job Schedule | Full Time |
| Salary (Industry Estimate) | ₹ 12 – 22 LPA (Best in Industry) |
| Posting Date | May 2026 |
| Hire Eligibility | Indian citizens, eligible to work full-time in India |
| Last Date | Apply ASAP (open until filled) |
About Qualcomm
Qualcomm is a global leader in wireless technology, mobile chipsets, and AI innovation. The company powers next-generation devices through Snapdragon processors, 5G modems, automotive platforms, IoT solutions, and edge AI. Qualcomm employs thousands of engineers across India, with major R&D centers in Hyderabad, Bangalore, and Chennai. Joining Qualcomm means working on cutting-edge problems in artificial intelligence, generative AI platforms, autonomous systems, and large-scale software validation.
Job Description
As a Qualcomm AI QA Engineer, you will be part of the team building Qualcomm’s Enterprise-Grade Generative AI Platform. The role goes beyond traditional QA — you will validate the logic, safety, and reliability of intelligent agentic AI systems and SOTA autonomous workflows. You will design and build advanced validation frameworks, develop pipelines for hallucination detection, conduct security-focused validation including prompt-injection resistance, and collaborate with AI Architects to ensure enterprise-grade quality of AI-driven solutions. The team operates at scale, solving challenges around ultra-low latency, high-throughput scalability, and seamless orchestration of on-prem and cloud-based data systems.
Key Responsibilities
- Design and build advanced validation frameworks for agentic AI systems and autonomous workflows.
- Develop pipelines for hallucination detection, model quality benchmarking, and regression analysis.
- Conduct security-focused validation, including prompt-injection resistance and data leakage testing.
- Collaborate with AI Architects to validate AI-driven solutions against real-world enterprise constraints.
- Build automation tools and evaluation frameworks for non-deterministic AI systems.
- Drive quality metrics, regression testing, and continuous improvement of AI model releases.
Eligibility Criteria
You Must Have
- Bachelor’s degree in Engineering, Information Systems, Computer Science, or related field.
- 1–3 years of experience in building or validating AI software systems or test frameworks.
- Strong Python programming skills.
- Hands-on experience with AI evaluation frameworks and test automation tools.
- Ability to design validation strategies for non-deterministic AI systems.
- Strong analytical and problem-solving mindset — the ability to “think like an adversary” to ensure model safety.
Preferred
- Master’s degree with Machine Learning specialization.
- Experience with LLM evaluation, agentic AI, or autonomous workflows.
- Knowledge of Generative AI safety, prompt injection, and data leakage validation.
- Familiarity with CI/CD pipelines, MLOps, and large-scale test infrastructure.
Qualcomm AI QA Engineer Salary in India 2026
The salary range for an AI Quality Assurance Engineer at Qualcomm India in 2026 is competitive and benchmarked above industry standards. Based on industry data and Qualcomm’s typical pay bands:
- Entry-level (1–2 years): ₹ 12 – 16 LPA fixed + variable + stock units
- Mid-level (2–3 years): ₹ 16 – 22 LPA total CTC
- Benefits: Health insurance, RSUs, ESPP, learning budget, hybrid work, sabbatical options
Note: This is an industry estimate; final compensation depends on interview performance, prior experience, and Qualcomm’s internal pay bands.
Interview Preparation Tips
To crack the Qualcomm AI QA Engineer interview, focus on the following preparation areas:
- DSA & Algorithms: Practice arrays, strings, hashing, recursion, and graph problems on LeetCode — Qualcomm tests coding fundamentals.
- OOPs & Python: Be solid on Python OOPs concepts, decorators, generators, unit testing (pytest), and async patterns.
- AI / ML fundamentals: Understand LLMs, model evaluation metrics, hallucination detection, prompt engineering, and AI safety basics.
- Test design: Be ready to design validation strategies for non-deterministic systems — sample case studies are essential.
- SQL & Data: Brush up SQL queries, joins, and basics of data pipelines used in MLOps.
- Projects: Showcase test automation projects, AI validation frameworks, or open-source contributions.
- Behavioural: Prepare STAR-format answers for collaboration, debugging tough issues, and ownership.
How to Apply for Qualcomm AI QA Engineer Jobs 2026
- Click the official apply link below to open the Qualcomm careers page.
- Click “Apply Now” on the Qualcomm portal.
- Sign in or create your Qualcomm Careers account.
- Fill in personal details, education, experience, and skills.
- Upload your latest resume (PDF, ATS-friendly).
- Review and submit your application.
Official Apply Link: Apply Now — Qualcomm AI QA Engineer (Job ID 3089447)
Disclaimer: Apply only on the official Qualcomm Careers domain (careers.qualcomm.com). Qualcomm never charges any fees from candidates during the recruitment process. Beware of fraudulent job offers.
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FAQs — Qualcomm AI QA Engineer Jobs
Q1. Who is eligible for Qualcomm AI QA Engineer Jobs 2026?
B.E / B.Tech / B.Sc / BCA graduates in CS / IT / Engineering with 1–3 years of experience in AI software validation or test frameworks.
Q2. Can freshers apply for this Qualcomm role?
This role specifically asks for 1–3 years of experience. Freshers may explore other Qualcomm openings on the careers portal.
Q3. Where is the Qualcomm AI QA Engineer job located?
The primary location is Hyderabad, Telangana, India. Qualcomm also lists additional India locations on the careers portal.
Q4. What programming languages are required for Qualcomm AI QA Engineer Jobs?
Strong Python skills are mandatory. Experience with AI evaluation frameworks and automation tools is required.
Q5. What is the salary for AI QA Engineer at Qualcomm in India?
The industry-estimated salary range is ₹ 12 – 22 LPA total CTC, including base, variable, stock, and benefits.
Q6. What is the selection process for Qualcomm AI QA Engineer Jobs?
Typical rounds include online application screening, technical screening (Python + AI fundamentals), 1–2 technical interviews, system / test design round, and an HR / behavioural round.
Q7. Does Qualcomm charge any fees for recruitment?
No. Qualcomm never charges any fees during the recruitment process. Beware of fraudulent agents asking for money.
Q8. How can I improve my chances for Qualcomm AI QA Engineer Jobs?
Build a strong portfolio of test automation and AI validation projects, sharpen Python and ML basics, and prepare for adversarial / safety-focused testing case studies.
Conclusion
The Qualcomm AI QA Engineer Jobs in India 2026 opening (Job ID 3089447) is a high-impact opportunity for engineers passionate about AI safety, validation frameworks, and Generative AI quality. With a competitive salary, hybrid work mode, and the chance to shape Qualcomm’s Enterprise GenAI platform, this role is a strong career step for AI QA professionals. Apply on the official Qualcomm careers portal before the role closes.
