Director – Engineering
Qualcomm
Director – Engineering
Qualcomm
Designs mobile chips and licenses wireless patents
General Summary:
Job Overview:
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.
15+ years Software Engineering or related work experience.
15+ years’ experience with Programming Language such as C++, Python.
Minimum Qualifications:
• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 8+ years of Software Test Engineering or related work experience.Job Overview:
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.
10+ years Software Engineering or related work experience.
10+ years’ experience with Programming Language such as C++, Python.
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 [email protected] 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).
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Qualcomm designs the Snapdragon processors and modems inside many Android phones, and it licenses its wireless patents to device makers around the world. It helped commercialize CDMA, the cellular technology behind 3G networks, and its patents cover core parts of the 4G and 5G standards that phones use to connect. The company does not run its own chip factories; contract foundries make its chips, which it sells to makers of phones, PCs, cars, and connected devices. Device makers also pay Qualcomm royalties for using its patented technology, which forms a second business alongside chip sales. Qualcomm was founded in 1985 and is based in San Diego, California.
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