Company
Qualcomm India Private Limited
Job Area
Engineering Group, Engineering Group > Software Engineering
General Summary
We are seeking candidates with strong optimized software development knowledge and hands-on experience AI. You will be leading teams responsible for running state-of-the-art machine learning solutions on Snapdragon platform at best performance.
You will be working on technical initiatives to support the AI optimization workflow for application developers for Windows on Snapdragon. You will drive improvements into the SW stack including SDK, Tools, and documentation that will directly impact the ease of use and performance realization by Windows Application Developers on Snapdragon. You will spearhead initiatives to deploy cutting-edge GenAI models on edge platforms.
Responsibilities
- Enablement of Windows AI platform on Snapdragon through Snapdragon SW stack
- Understand the latst trends in ML and LLMs, and workflow through application developer engagements and latest academic research
- Continuously improve KPIs for performance and accuracy for AI models on Windows on Snapdragon
- Solve customer issues in AI application development so that Application Developers have nil to very low barrier to entry for Windows on Snapdragon
- Work with other cross-site and cross-functional teams to arrive at best-in-class performant solutions that can be leveraged by 3rd party app developers for Windows on Snapdragon
Skills And Experience
- 10+ years experience in AI application development preferably with some experience with Windows AI platform
- Experience with optimizing models for performance and accuracy on AI hardware accelerators (like CPU/GPU/NPU).
- Experience in architecting, designing, and implementing SW framework for complex heterogenous or multi-processor system.
- Excellent understanding of AI frameworks (e.g., TensorFlow, PyTorch, ONNX Runtime). Experience with large language models/foundational models development and deployment a plus
- Good Understanding of complete AI Software stack and familiarity with AI hardware acceleration technologies
- Experience with performance optimization of AI application on Windows using processor specific optimization tools/libraries/primitives on GPU, NPU
- Strong software engineering principles are essential
- Hands on understanding of Generative AI models LLM, LVM, LMMs and concepts like (attention, kv caching, LoRa etc.)
- Good understanding of latest LLM architectures like MOE
- Quantization, Optimizations, and deployment of the LLMs on Edge devices, including latest Quantization techniques like GPTQ, SpinQuant etc
- Ability to code in C, C++, and Python
- Strong communication skills (written and verbal)
- Expertise in Windows ML, MCDM for AI compute preferred
- Excellent communication skills to articulate complex technical concepts to non-technical and technical stakeholders.
- Strong leadership abilities to motivate and guide development teams.
- Detail-oriented with strong problem-solving, analytical, and debugging skills with the ability to think strategically and drive innovative solutions.
- Demonstrated ability to learn, think, and adapt in a fast-changing environment
- Experience working with teams and stakeholders spread across sites.
Minimum Qualifications
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 6+ years of Software Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 5+ years of Software Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.
- 3+ years of work experience with Programming Language such as C, C++, Java, Python, etc.
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