Engineer, Senior

The Qualcomm Cloud Computing team is seeking a Senior Engineer for Machine Learning solutions across data center, edge, infrastructure, and automotive markets. This role involves developing hardware and software, focusing on machine learning framework development. Key responsibilities include analyzing software requirements, designing and implementing solutions for Qualcomm's SOCs, identifying system-level issues, and leading high-performing teams. The engineer will optimize Deep Learning models on Qualcomm AI 100, build framework extensions, collaborate on training and inference optimization, and develop AI software tools. Experience with vLLM, Triton, ExecuTorch, Inductor, TorchDynamo, and optimizing deep learning pipelines is essential.

Must Have

• Analyze software requirements and design solutions for Qualcomm's SOCs
• Identify system-level issues and interface with development/integration/test teams
• Lead high-performing teams in Machine Learning software engineering
• Strong foundation in mathematical modeling, linear algebra, and ML/AI algorithms
• Improve and optimize Deep Learning models on Qualcomm AI 100
• Build deep learning framework extensions for Qualcomm AI 100 in open-source repositories
• Collaborate with internal teams for training and inference optimization
• Build software tools and ecosystem around AI SW Stack
• Work on vLLM, Triton, ExecuTorch, Inductor, TorchDynamo for inference accelerator abstraction
• Optimize workloads for 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 degree in Engineering, CS, or related field with 2+ years of Software Engineering experience
• Experience with C++ and Python (2+ years)

Good to Have

• Deep Learning experience (LLMs, Natural Language Processing, Vision, Audio, Recommendation systems)
• Knowledge of Pytorch, TensorFlow software stacks
• Excellent C/C++/Python programming and software design skills (debugging, performance analysis, test design)
• Ability to work independently, define requirements and scope, and lead development
• Well versed with open-source development practices
• Strong developer with a research mindset
• Avid problem solver
• Knowledge of tiling and scheduling Machine learning operators
• 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
• Experience of ML compiler, Auto-code generation (using MLIR)
• Experiences to run workloads on large scale heterogeneous clusters
• Hands-on experience with CUDA, CUDNN

Perks & Benefits

• World-class health benefit options providing world-class coverage to employees and their eligible dependents
• Programs designed to help employees build and prepare for a financially secure future
• Self and family resources to build emotional/mental strength and resilience, and define purpose
• Wellbeing programs and resources to help employees Live+Well and Work+Well
• Continuous learning and development programs
• Tuition reimbursement
• Mentorships

Job Posting Date

2025-12-01

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Company:

Qualcomm India Private Limited

Job Area:

Engineering Group, Engineering Group > Software Engineering

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.
• 3+ years Software Engineering or related work experience.
• 3+ years’ experience with Programming Language such as C++, Python.

Minimum Qualifications:

• Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience.

OR

• Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience.

OR

• PhD in Engineering, Information Systems, Computer Science, or related field.
• 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc.