#Agentic AI Windows Power and Thermal Engineer
Qualcomm Innovation Center, Inc.
San Diego, CA6d agovia LinkedIn
About the Role
- Work on Power/Thermal Software products to achieve industry-leading Power/Thermal/Limit SW management solutions on Qualcomm Compute, Mobile, IoT, Automotive, and AR/VR chipsets.
- Profile Power & Thermal and identify Power, thermal & Peak Current risks, providing optimized solutions with proper mitigation.
- Perform system-level analysis of Power/thermal use cases, collaborating with Architecture, HW design, Performance, Power/Thermal Systems, and various software teams for optimal system-level Power/thermal SW solutions.
- Develop tools and methodologies for competitive analysis to understand competitor strengths and weaknesses, and propose industry-best thermal mitigation schemes.
- Work on automation based on AI/Agentic AI infrastructure, requiring expertise in AI Models, designing, training, and deploying neural network architectures (like CNNs, LLMs, or Transformers).
- Build end-to-end infrastructure automation to process huge telemetry data (Power, Performance, Logs) to optimize power and performance. This is a cross-disciplinary role blending machine learning expertise with deep knowledge of AI infrastructure, Network Models, and cloud computing.
Key Responsibilities
- Collaborate with cross-functional teams.
- Analyze power and thermal use cases.
- Design, train, and deploy AI models.
- Develop and maintain e2e infrastructure automation.
- Develop competitive analysis tools and methodologies.
- Propose and implement thermal mitigation schemes.
Requirements & Tech Stack
- AI/Agentic AI infrastructure
- AI Model expertise
- Neural network architectures (e.g., CNNs, LLMs, Transformers)
- E2e infrastructure automation
- Telemetry data processing (Power, Performance, Logs)
- AI infrastructure
- Network Models
- Cloud computing
- Debugging tools (e.g., JTAG debugger, oscilloscopes, logic analyzers)
Qualifications
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field.
- Systems/HW background with a good understanding of microprocessor architecture and common SoC hardware blocks (Interconnects, Display, Graphics, etc.).
- AI Expertise:
- Model development
- Data pipeline management
- Infrastructure automation
- Operating systems concepts: scheduling, memory management, and device drivers.
- Knowledge on Mobile power or Power/thermal management SW development.
- In-depth knowledge in Embedded Systems, Microcontrollers, SoC Power, Modem, Multimedia, and Wireless communications.
- System level debugging and analysis for SoC power optimizations.