Senior Engineer- Machine Learning

undefined ago • 2-4 Years • Research Development

Job Summary

Job Description

Join Qualcomm's Generative AI team to integrate cutting-edge GenAI models on Qualcomm chipsets, leveraging heterogeneous computing for on-device inference. You will develop and commercialize the Qualcomm AI Runtime (QAIRT) SDK, pushing performance limits for large models. This role requires expertise in deploying C/C++ software stacks, staying updated on GenAI advancements, and understanding edge-based GenAI deployment. Your passion for edge AI's evolution will be key to running LLMs and LVMs at high speeds with low power.
Must have:
  • Spearhead development and commercialization of Qualcomm AI Runtime (QAIRT) SDK.
  • Push the limits of performance from large models.
  • Deploy large C/C++ software stacks using best practices.
  • Stay on the cutting edge of GenAI advancements.
  • Understand LLMs/Transformers and edge-based GenAI deployment.
  • Master’s/Bachelor’s degree in computer science or equivalent.
  • 2-4 years of relevant work experience in software development.
  • Strong understanding of Generative AI models (LLM, LVM, LMMs).
  • Knowledge of Floating-point, Fixed-point representations and Quantization concepts.
  • Experience with optimizing algorithms for AI hardware accelerators.
  • Strong C/C++ programming, Design Patterns, and OS concepts.
  • Good scripting skills in Python.
  • Excellent analytical and debugging skills.
  • Good communication skills (verbal, presentation, written).
  • Ability to collaborate across a globally diverse team and multiple interests.
Good to have:
  • Strong understanding of SIMD processor architecture and system design
  • Proficiency in object-oriented software development
  • Familiarity with Linux and Windows environment
  • Strong background in kernel development for SIMD architectures
  • Familiarity with frameworks like llama.cpp, MLX, and MLC
  • Good knowledge of PyTorch, TFLite, and ONNX Runtime
  • Experience with parallel computing systems and languages like OpenCL and CUDA
Perks:
  • Health: Qualcomm offers a world-class health benefit option providing world-class coverage to employees and their eligible dependents.
  • Wealth: Our programs are designed to help employees build and prepare for a financially secure future.
  • Self: Our self and family resources help you build emotional/mental strength and resilience, as well as define your purpose — in life and at work.
  • Wellbeing: Qualcomm’s wellbeing programs and resources offer support to help employees Live+Well and Work+Well, so they can unlock their full potential at home, at work, and everywhere between.

Job Details

Job Description

Join the exciting Generative AI team at Qualcomm focused on integrating cutting edge GenAI models on Qualcomm chipsets. The team uses Qualcomm chips’ extensive heterogeneous computing capabilities to allow inference of GenAI models on-device without a need for connection to the cloud. Our inference engine is designed to help developers run neural network models trained in a variety of frameworks on Snapdragon platforms at blazing speeds while still sipping the smallest amount of power. Utilize this power efficient hardware and Software stack to run Large Language Models (LLMs) and Large Vision Models (LVM) at near GPU speeds!

Responsibilities:

In this role, you will spearhead the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK on Qualcomm SoCs. As an AI inferencing expert, you'll push the limits of performance from large models. Your mastery in deploying large C/C++ software stacks using best practices will be essential. You'll stay on the cutting edge of GenAI advancements, understanding LLMs/Transformers and the nuances of edge-based GenAI deployment. Most importantly, your passion for the role of edge in AI's evolution will be your driving force.

Requirements:

  • Master’s/Bachelor’s degree in computer science or equivalent.
  • 2-4 years of relevant work experience in software development.
  • Strong understanding of Generative AI models – LLM, LVM, LMMs and building blocks (self-attention, cross attention, kv caching etc.)
  • Floating-point, Fixed-point representations and Quantization concepts.
  • Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).
  • Strong in C/C++ programming, Design Patterns and OS concepts.
  • Good scripting skills in Python.
  • Excellent analytical and debugging skills.
  • Good communication skills (verbal, presentation, written).
  • Ability to collaborate across a globally diverse team and multiple interests.

Preferred Qualifications

  • Strong understanding of SIMD processor architecture and system design.
  • Proficiency in object-oriented software development and familiarity
  • Familiarity with Linux and Windows environment
  • Strong background in kernel development for SIMD architectures.
  • Familiarity with frameworks like llama.cpp, MLX, and MLC is a plus.
  • Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred.
  • Experience with parallel computing systems and languages like OpenCL and CUDA is a plus.

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About The Company

Our employees make Qualcomm’s success possible. We hire the brightest minds and foster a supportive, inclusive culture where your ideas have the power to contribute to world-changing innovations and breakthrough technologies. To make that possible, we leverage the breadth and depth of our diverse expertise from around the world to answer the unasked, conquer the complex, and solve some of the biggest challenges only we can – together.

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