Cloud Machine Learning LLM Serving Staff engineer

14 Hours ago • 8 Years +
Research Development

Job Description

The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. The Staff Engineer will analyze software requirements, design and implement solutions for Qualcomm's SOCs, identify system-level issues, and lead teams in Machine Learning software engineering. This role involves optimizing Deep Learning models on Qualcomm AI 100, building framework extensions, and collaborating on training and inference optimization. Key technologies include vLLM, Triton, ExecuTorch, Inductor, and TorchDynamo.
Good To Have:
  • Deep Learning experience or knowledge – LLMs, Natural Language Processing, Vision, Audio, Recommendation systems.
  • Knowledge of the structure and function of different components of Pytorch, TensorFlow software stacks.
  • Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design.
  • Ability to work independently, define requirements and scope, and lead your own development effort.
  • Well versed with open-source development practices.
  • Strong developer with a research mindset – strives to innovate.
  • Avid problem solver – should be able to find solutions to key engineering and domain problems.
  • Knowledge of tiling and scheduling a Machine learning operator is a plus.
  • Experience in using C++ 14 (advanced features).
  • Experience of profiling software and optimization techniques.
  • Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus.
  • Experience of ML compiler, Auto-code generation (using MLIR) is a plus.
  • Experiences to run workloads on large scale heterogeneous clusters is a plus.
  • Hands-on experience with CUDA, CUDNN is a plus.
Must Have:
  • Analyze software requirements and determine design feasibility.
  • Implement software solutions best suited for Qualcomm's SOCs.
  • Analyze and identify system level issues, interface with development, integration, and test teams.
  • Lead high performing teams towards system design and deliverables.
  • Proven track record of leading teams in Machine learning software engineering.
  • Strong foundation of Mathematical modeling, linear algebra, and state-of-the-art ML/AI algorithms.
  • Improve and optimize key Deep Learning models on Qualcomm AI 100.
  • Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories.
  • Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning.
  • Build software tools and ecosystem around AI SW Stack.
  • Work on vLLM, Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.
  • Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems.
  • Optimize the entire deep learning pipeline including graph compiler integration.
  • Apply knowledge of software engineering best practices.
  • Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
  • 8+ years Software Engineering or related work experience.
  • 8+ years’ experience with Programming Language such as C++, Python.
Perks:
  • Qualcomm offers a world-class health benefit option providing world-class coverage to employees and their eligible dependents.
  • Our programs are designed to help employees build and prepare for a financially secure future.
  • Our self and family resources help you build emotional/mental strength and resilience, as well as define your purpose — in life and at work.
  • 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.

Add these skills to join the top 1% applicants for this job

cross-functional
communication
problem-solving
performance-analysis
oops
cpp
data-structures
game-texts
quality-control
cuda
mathematical
pytorch
deep-learning
python
algorithms
tensorflow
linear-algebra
java
system-design
machine-learning

Job Description

Job Posting Date

2025-09-30

***

Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

General Summary:

The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. We are seeking ambitious, bright, and innovative engineers with experience in machine learning framework development. Job activities span the whole product life cycle from early design to commercial deployment. The environment is fast-paced and requires cross-functional interaction daily so good communication, planning and execution skills are a must.

Key Responsibilities

  • Analyze software requirements, determine the feasibility of design within the given constraints, consult with architecture and HW engineers, and implement software solutions best suited for Qualcomm's SOCs.
  • Analyze and identify system level issues, interface with the software development, integration, and test teams
  • Lead high performing teams towards system design and deliverables.
  • Proven track record of leading teams in Machine learning software engineering.
  • Strong foundation of Mathematical modeling of problems and linear algebra, coupled with state of the art algorithms in ML/AI space.
  • Improve and optimize key Deep Learning models on Qualcomm AI 100.
  • Build deep learning framework extensions for Qualcomm AI 100 in upstream open-source repositories.
  • Collaborate and interact with internal teams to analyze and optimize training and inference for deep learning.
  • Build software tools and ecosystem around AI SW Stack.
  • Work on vLLM, Triton, ExecuTorch, Inductor, TorchDynamo to build abstraction layers for inference accelerator.
  • Optimize workloads for both scale-up (multi-SoC) and scale-out (multi-card) systems.
  • Optimize the entire deep learning pipeline including graph compiler integration.
  • Apply knowledge of software engineering best practices.

Desirable Skills and Aptitudes

  • Deep Learning experience or knowledge – LLMs, Natural Language Processing, Vision, Audio, Recommendation systems.
  • Knowledge of the structure and function of different components of Pytorch, TensorFlow software stacks.
  • Excellent C/C++/Python programming and software design skills, including debugging, performance analysis, and test design.
  • Ability to work independently, define requirements and scope, and lead your own development effort.
  • Well versed with open-source development practices.
  • Strong developer with a research mindset – strives to innovate.
  • Avid problem solver – should be able to find solutions to key engineering and domain problems.
  • Knowledge of tiling and scheduling a Machine learning operator is a plus.
  • Experience in using C++ 14 (advanced features)
  • Experience of profiling software and optimization techniques
  • Hands on experience writing SIMD and/or multi-threaded high-performance code is a plus.
  • Experience of ML compiler, Auto-code generation (using MLIR) is a plus.
  • Experiences to run workloads on large scale heterogeneous clusters is a plus.
  • Hands-on experience with CUDA, CUDNN is a plus.

Qualifications:

  • Bachelor's / Masters/ PHD degree in Engineering, Machine learning/ AI, Information Systems, Computer Science, or related field.
  • 8+ years Software Engineering or related work experience.
  • 8+ years’ experience with Programming Language such as C++, Python.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Software Engineering or related work experience.

OR

Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Software Engineering or related work experience.

OR

PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

• 2+ years of work experience with Programming Language such as C, C++, Java, Python, etc.

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.

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

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