AI/ML Platform Architect - Engineer, Principal
Bachelor's degree in Computer Science, Engineering, Information Systems, or related field and 8+ 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 7+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. OR PhD in Computer Science, Engineering, Information Systems, or related field and 6+ years of Hardware Engineering, Software Engineering, Systems Engineering, or related work experience. Excellent understanding of AI frameworks (e.g., TensorFlow, PyTorch), GPU/NPU programming, and parallel computing. Experience with large language models/foundational models development and deployment a plus Good Understanding of complete Software stack and familiarity with AI and other multimedia hardware acceleration technologies Experience with performance optimization of AI application on Windows using processor specific optimization tools/libraries/primitives on GPU, NPU Strong background in end to end system performance analysis using profiling tools, and algorithmic modification methods for performance improvement is essential Knowledge of state of the art in Agentic AI Knowledge of computer architecture, embedded system implementations Strong software engineering principles are essential Proficiency in programming languages such as Python, C++ Excellent communication skills to articulate complex technical concepts to non-technical and technical stakeholders. Strong leadership abilities to motivate and guide development teams. Detail-oriented with strong problem-solving, analytical, and debugging skills with the ability to think strategically and drive innovative solutions. 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. 15+ 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 Understand trends in ML network design, through customer engagements and latest state of the art, and determine how this will affect both SW and HW design On-device correlation and tuning of algorithm versus pre-silicon predictions Analyze Enterprise AI workflows for common user personas and propose components that make Snapdragon AI PCs work complimentarily with cloud AI components of the enterprise workflow to deliver measurably increased productivity and user-experience for enterprise users 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 Analyze, develop, propose new features and designs to system design of next gen SoCs that reduce performance bottlenecks through the workflow
