Staff AI Model Systems Software Engineer

Key Skills

Aartificial intelligence, Algorithms, C Programming, C++, Computer Vision (CV), Design, Generative AI, GPUs, Machine learning techniques, Python Programming, SDK

Job Description

As a member of the team responsible for AI performance on Snapdragon compute platform, you will have opportunity to represent requirements of Windows on Snapdragon application developers for multiple AI use-cases and ensure the Snapdragon AI platform, and tools deliver the industry leading performance and power through automated app development workflows. You will also lead efforts to continuously evolve the benchmarking and optimization of reference AI networks that will serve as relevant, minimum performant examples to application developers for Windows on Snapdragon. You will drive improvements into the SW stack including SDK, Tools, and documentation that will directly impact the ease of use and performance realization by Windows Application Developers on Snapdragon. You will work closely with development leads, software and hardware architects, project engineers, product managers, customer engineers, OEMs and application developers.

Ideal candidate has experience in architecture aware AI Model system SW performance optimization on Windows PC/Laptop, architecture aware benchmarking, and performance breakdown analysis with GPU, NPU, and knowledge of state of the art in AI for one of the domains such as Computer Vision, Audio, Generative AI.

Responsibilities:

• Understand trends in ML network design, through customer engagements and latest academic research, and determine how this will affect both SW and HW design
• Analyze ML/AI algorithms and workloads on exploratory and existing Qualcomm HW and SW stacks through simulation and on-device characterization
• Be a part of the team that is the gate keeper for performance on comprehensive AI benchmark data on Windows on Snapdragon
• Define, model and tune algorithms for ML/AI using compilers, kernels and HW features to improve mappings of ML/AI workloads on NPU, GPU, CPU on Snapdragon
• On-device correlation and tuning of algorithm versus pre-silicon predictions
• Contribute to the creation of AI performance debug, analysis, and optimization tools
• Interface with other cross-site and cross-functional teams to arrive at best-in-class performant reference implementations, tools, and documentation that are directly leveraged by 3rd party app developers
• Contribute new features and designs to system design of future SoCs that reduce performance bottlenecks through the workflow

Minimum Qualifications:

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

OR

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

OR

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

Preferred Qualifications:

• Experience in modeling AI networks and workloads to extract performance and power estimates, and converting that into optimization
• Strong background in algorithm development and performance analysis using profiling tools, and methods is essential
• Knowledge of state of the art in AI for one or more of the domains such as Computer Vision, Audio, Generative AI
• Exposure to front-end ML frameworks (i.e.,TensorFlow, PyTorch, ONNX)
• Knowledge of computer architecture, embedded system implementations
• Strong software engineering principles are essential
• Ability to code in C, C++ and Python
• Experience with performance optimization of AI application on Windows is an asset, using processor specific optimization tools/libraries on GPU, NPU,
• Strong communication skills (written and verbal)
• Detail-oriented with strong problem-solving, analytical, and debugging skills
• Demonstrated ability to learn, think and adapt in a fast-changing environment
• Familiarity with software development methodologies, version control systems, and agile project management practices.
• 5+ years experience in High Performance Computing System Engineering or Software with 5+ years in AI system optimization
• Masters or PhD in Computer Science or Electrical Engineering

Although this role has some expected minor physical activity, this should not deter otherwise qualified applicants from applying. If you are an individual with a physical or mental disability and need an accommodation during the application/hiring process, please call Qualcomm’s toll-free number found here for assistance. Qualcomm will provide reasonable accommodations, upon request, to support individuals with disabilities as part of our ongoing efforts to create an accessible workplace.