AI ML Engineer

2 Months ago • 3 Years + • Research Development

Job Summary

Job Description

The AI/ML Engineer will join Qualcomm's Generative AI team, focused on integrating cutting-edge GenAI models on Qualcomm chipsets. The role involves utilizing heterogeneous computing capabilities to enable on-device inference of GenAI models without cloud dependence. Responsibilities include spearheading the development and commercialization of the Qualcomm AI Runtime (QAIRT) SDK, optimizing large models, and staying updated on GenAI advancements like LLMs/Transformers. The engineer will leverage C/C++ expertise and best practices to push performance limits, contributing to the evolution of edge-based AI.
Must have:
  • 3+ years of relevant software development experience.
  • Strong understanding of Generative AI models – LLM, LVM and LLMs and building blocks
  • Floating-point, Fixed-point representations and Quantization concepts.
  • Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).
  • Strong development skills in C/C++
  • Excellent analytical and debugging skills.
  • Good communication skills (verbal, presentation, written).
  • Ability to collaborate across a globally diverse team and multiple interests.
  • Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
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 is a plus.
  • Good knowledge of PyTorch, TFLite, and ONNX Runtime is preferred.
  • Experience with parallel computing systems and Assembly is a plus.

Job Details


Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

Job Description

More details below:

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.
3+ years of relevant work experience in software development.
Strong understanding of Generative AI models – LLM, LVM and LLMs and building blocks

Floating-point, Fixed-point representations and Quantization concepts.

Experience with optimizing algorithms for AI hardware accelerators (like CPU/GPU/NPU).
Strong development skills in C/C++
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.

·       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 Assembly is a plus.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.

Applicants: Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries).

Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law.

To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Qualcomm. Staffing and recruiting agencies and individuals being represented by an agency are not authorized to use this site or to submit profiles, applications or resumes, and any such submissions will be considered unsolicited. Qualcomm does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications.

If you would like more information about this role, please contact Qualcomm Careers.

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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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