AI Model System Software Performance Optimization Engineer - Senior Engineer
Qualcomm IncorporatedMatch Score
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, mid-level (3-5 years), and metro location increase applicant competition substantially.
Role requires hardware-specific Snapdragon and Windows acceleration expertise, limiting industry transferability.
Explicit 3-5 years plus mandatory hardware accelerator and framework experience enforces strict screening.
Job Description
Structured overview of role & requirementsAbout This Role
Lead performance optimization and benchmarking of AI models and tools on Windows on Snapdragon platforms.
Develop reference implementations, optimization workflows, and best practices to improve AI application performance and developer productivity.
Collaborate with hardware architects, software leads, and customer teams to enable high-performance AI solutions leveraging Snapdragon CPUs, GPUs, and NPUs.
Minimum Requirements
3-5 years of experience in AI/ML application development with hands-on optimization on CPUs, GPUs, and NPUs.
Bachelor's degree or higher in Engineering, Computer Science, Information Systems or related field.
Proficiency in C, C++, and Python programming languages.
Experience with AI frameworks such as PyTorch, TensorFlow, ONNX Runtime, and understanding of ML architectures including CNNs, RNNs, and Transformers.
Ideal Candidate Profile
Experienced in architecting and optimizing software frameworks for complex heterogeneous or multi-processor systems.
Skilled in applying cutting-edge AI techniques including transformer-based models and large language models on hardware-accelerated platforms.
Comfortable working cross-functionally in a fast-evolving environment to drive adoption and continuous improvement of AI performance on Snapdragon-based Windows applications.