R&D Engineer, XR AI Software and Systems

Qualcomm; Bengaluru; On-site; INR 1,200,000 - 2,400,000; Full time

Job summary

Qualcomm India Private Limited's XR AI team in Bengaluru seeks developers to build AI tools for tuning GenAI and multimodal models for XR and Wearables. Work spans AI frameworks, runtimes and deployment to deliver best-in-class AI software for wearables.

You will contribute to efficient AI inference through graph optimization, quantization and model fine-tuning, addressing tradeoffs among performance, accuracy, latency and power, as part of a cutting-edge XR AI team.

Qualifications

• Bachelor's or higher in Engineering/CS with 3+ years in Systems Eng or related field.
• Hands-on ML/AI tools development with DL frameworks like PyTorch/TensorFlow.
• Experience in model optimization, quantization and neural network performance.

Responsibilities

• Develop AI tools for tuning GenAI and multimodal models for XR and wearables.
• Optimize inference performance, latency and energy efficiency on devices.
• Experiment with quantization, pruning and deployment across runtimes.

Skills

Deep Learning frameworks

Python

C++

GLM / LLMs

Quantization

Model optimization

ONNX Runtime

Pytorch

TensorFlow

GIT / GITHUB

Education

Bachelor's degree in Engineering / CS / related field

Master's degree in Engineering / CS (preferred)

PhD in Engineering / CS (optional)

Tools

GIT

GITHUB

ONNX Runtime

Pytorch

TF Runtime

Job description

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Systems Engineering

General Summary:

Qualcomm’s XR AI team in Bangalore is looking for developers at various experience levels for developing AI tools for tuning GEN AI and Multi Modal models for its XR and Wearables product line. The team aims to develop industry leading AI software solutions and tools Wearable and Connected Intelligent Edge use cases that spans across AI frameworks, runtimes and deployment scenarios to provide best-in-class AI software offerings. The team focusses on efficient AI inferencing by research and development of graph optimization methods, advanced quantization and compression techniques, algorithms that can make the best tradeoffs between performance, accuracy, latency and power. As part of Qualcomm XR AI team, you will develop leading-edge products and solutions hybrid AI applications. This covers a broad range of technical tasks, starting from industry leading and customer specific use cases, a spectrum of technologies to define AI/ML system solutions, AI models optimization (including GenAI/ LLMs/ LVMs/ LMMs) and ensure efficient and scalable deployment on Wearable devices. This is your opportunity to work on the leading-edge AI technologies and systems, current product and future roadmap designed for AI inference acceleration and to addresses unique requirements in energy efficient AI compute.

Job Description

Required Skills and Aptitudes

• Hands-on experience in ML/AI tools development involving Deep Learning frameworks like Pytorch 1.x, 2.x, Executorch, TensorFlow, ONNX, etc…
• Strong understanding of model architectures across CV, NLP, LLMs, LVMs and Multi-Modal NWs
• Strong understanding and experience in working on inference graph optimization, Quantization, speculative and self-speculative decoding techniques, pruning and compression techniques etc.
• Understanding of performance and accuracy metrics for different class of neural NWs
• Skills in tuning for best accuracy and performance and troubleshooting accuracy and performance issues is a plus
• Hands-on Experience with Object Orientated Design, design patterns
• Strong python / C++ implementation skills (Skill level > 7/10)
• Strong in Data structures & Algorithms (Skill level > 7/10)
• Hands on knowledge of LLM fine tuning, Quantization aware training is a plus
• Knowledge of machine learning runtimes like ONNX Runtime, Pytorch and TF runtimes is a plus
• Experience in survey of competitor toolchain and survey latest trends in the industry and academia
• Develop new and innovative ideas (e.g. IDFs) for a product or feature area.
• Excellent analytical, development, and debugging skills

Desirable Skills and Aptitudes

• Experience with GPUs, machine learning accelerators and related software is a plus
• Knowledge of ML compilers like TVM, GLOW, XLA is a plus
• Hands on use of version control tools like GIT, GITHUB

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
• ORMaster's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
• ORPhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.

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