AI Model System Software Performance Optimization Engineer - Senior Engineer
Qualcomm · Posted Sep 24
Semiconductor, 5G wireless technology, mobile platform, and AI computing solutions
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About the role
Qualcomm is seeking highly motivated candidates with strong software development expertise and hands-on experience in Artificial Intelligence and Machine Learning. In this role, you will be part of a team responsible for advancing the performance optimization tools and workflows that enable state-of-the-art AI and machine learning solutions on the Snapdragon platform. You will drive technical initiatives to evaluate, benchmark, and continuously improve AI optimization workflows, creating reference implementations and best practices for Windows on Snapdragon application developers while contributing to enhancements across SDKs, tools, and documentation.
What you will do
- Enable AI application development on Windows on Snapdragon through the Snapdragon software stack.
- Drive the adoption of Windows AI platforms by reducing barriers to entry for application developers and resolving complex customer issues.
- Collaborate with cross-functional and global teams to develop best-in-class, high-performance AI solutions that can be leveraged by third-party Windows application developers.
- Analyze emerging trends in machine learning, generative AI, and large language models through developer engagements and academic research.
- Perform competitive benchmarking of AI tools, workflows, and state-of-the-art models across industry-leading platforms.
- Drive continuous improvements in AI model performance, efficiency, and accuracy on Windows on Snapdragon platforms.
- Develop reference workflows and optimization methodologies to help developers maximize the capabilities of Snapdragon CPUs, GPUs, and NPUs.
Skills used in this role
What the employer is looking for
- 3-5 years of experience in AI/ML application development.
- Hands-on experience optimizing AI models for performance, power, and accuracy on hardware accelerators such as CPUs, GPUs, and NPUs.
- Experience architecting, designing, and implementing software frameworks for complex heterogeneous or multi-processor systems.
- Strong understanding of modern machine learning architectures, including CNNs, RNNs, Transformers, and ensemble methods.
- Proficiency with AI frameworks and tooling such as PyTorch, TensorFlow, ONNX Runtime, and MLIR.
- Experience with transformer-based models such as BERT, GPT, T5, and Llama.
- Good understanding of the end-to-end AI software stack, including model development, optimization, deployment, and hardware acceleration technologies.
- Strong programming skills in C, C++, and Python.
- Excellent written and verbal communication skills.
- Demonstrated ability to learn quickly, think critically, and adapt in a fast-paced and rapidly evolving technology environment.
- 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.
Preferred qualifications
- Familiarity with open-source AI inference frameworks such as llama.cpp is a plus.
- Experience developing, optimizing, or deploying large language models (LLMs) or foundation models is a strong plus.
- Experience building AI and LLM-powered applications on Windows using CPU, GPU, and NPU acceleration.
- Familiarity with embedding models, sentence transformers, retrieval pipelines, and production AI workflows is preferred.
- Experience using processor-specific optimization tools, libraries, and profiling technologies to improve AI performance on CPUs, GPUs, and NPUs is a plus.
Benefits and support
- Qualcomm is an equal opportunity employer.
- Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process.
- Qualcomm is committed to making our workplace accessible for individuals with disabilities.
About Qualcomm
Qualcomm is a global leader in the development and commercialization of foundational technologies for the wireless industry, including mobile processors, 5G, and on-device artificial intelligence. The company designs and markets digital communications products, semiconductor solutions, and system software used globally across smartphones, automotive solutions, IoT devices, and computing systems. Through extensive R&D and intellectual property licensing, Qualcomm powers a highly interconnected and smarter world.
- Industry
- Semiconductors
- Company size
- 50000+ employees
- Founded
- 1985
- Location
- San Diego, California, USA
- Funding stage
- Public Company
Funding
Public Company · $53M raised
- 2018-11-01Grant
Leadership
President and Chief Executive Officer
Chief Financial Officer and Chief Operating Officer
James H. Thompson
Chief Technology Officer
Chief Marketing Officer
Ann Chaplin
General Counsel and Corporate Secretary
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