Qualcomm Generative AI Software Engineer Recruitment 2025 – Eligibility, Skills, Apply Online
Qualcomm India is hiring for Generative AI Software Engineer 2025. Check full eligibility, responsibilities, qualifications, skills required, and how to apply for QAIRT SDK on-device AI role
If you are someone who really want to work in latest Generative AI field, then Qualcomm India is hiring for a big role in Software Engineering – GenAI Runtime & On-Device AI. This job is posted on 06 November 2025, and many candidates already looking for this job because Qualcomm now focusing heavy on running LLMs and GenAI models on Snapdragon chips. So here I explain all things in very simple way so anyone understand easily.
Job Overview
Qualcomm India Private Limited hiring for their Generative AI Team where you will work on bringing LLMs, LVMs and other GenAI models directly on Qualcomm chipsets. This team use Qualcomm CPU, GPU and NPU to run AI models super fast without cloud. You will also work on QAIRT SDK which is Qualcomm AI Runtime.
| Details | Information |
|---|---|
| Company | Qualcomm India Private Limited |
| Post Name | Software Engineer – Generative AI (QAIRT SDK) |
| Location | Bengaluru, Karnataka & Hyderabad, Telangana |
| Degree Required | Bachelor’s / Master’s Degree in Computer Science or equivalent |
| Eligible Batches | Not specified (Experience-based role) |
| Experience Required | 2+ years in software development |
| Apply Link | Click Here |
Responsibilities
- Lead development and launch of QAIRT SDK on Qualcomm SoCs
- Improve AI inferencing performance for large models
- Use C/C++ to deploy big software stacks
- Stay updated with LLM, Transformer and GenAI changes
- Understand edge-AI deployment challenges
- Collaborate with global teams
Required Skills & Qualifications
Education
- Bachelor’s or Master’s degree in Computer Science or equal field
- 2+ years experience in software development
Technical Requirements
| Skill Area | Details |
|---|---|
| Generative AI | Strong understanding of LLM, LVM, LMMs, attention layers, KV caching |
| Math & Model Handling | Floating-point, fixed-point, quantization |
| Hardware Optimization | Experience on CPU/GPU/NPU accelerators |
| Programming | Strong C/C++ and design patterns |
| OS Concepts | Good understanding of OS internals |
| Scripting | Good Python knowledge |
| Debugging | Strong analytical and debugging skills |
| Communication | Good verbal and written skills |
| Team Work | Can work with global teams |
Preferred Qualifications
- Good knowledge of SIMD architecture
- Object-oriented development experience
- Experience in Linux and Windows
- Kernel development for SIMD systems
- Experience with llama.cpp, MLX, MLC
- Good understanding of PyTorch, TFLite, ONNX Runtime
- Parallel programming using OpenCL or CUDA
Minimum Qualifications
| Education | Experience |
|---|---|
| Bachelor’s Degree | 2+ years of experience |
| Master’s Degree | 1+ year of experience |
| PhD | No experience required |
| Programming | 2+ years in C/C++/Java/Python |
Why This Job is a Big Opportunity?
This job gives chance to work directly with LLMs, on-device AI, hardware acceleration and next generation Snapdragon AI engines. If you love AI plus hardware, this role is perfect for you.
How to Apply?
You can apply directly from Qualcomm Careers Website by searching the job title and filling your application online.
or Click Here to apply now
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