Tasks:
- * Analyze performance regressions and root causes
- * Build automated camera energy-efficiency testing harness
- * Build cross-platform performance analysis tools
- * Develop adaptive workload prediction algorithms
- * Develop camera power optimization automation
- * Develop dynamic voltage scaling and scheduling techniques
- * Develop LTO/PGO compiler optimization prototypes
- * Implement multimodal resource scheduling
- * Model CPU/GPU/cDSP energy efficiency
- * Optimize heterogeneous computing energy efficiency
- * Research reinforcement-learning workload tracking
Perks/Benefits:
Skills/Tech stack required:
[AI Agents] [Automated testing] [C#] [C++] [CI/CD] [Dify] [Dynamic voltage and frequency scaling] [Frequency Scaling] [Heterogeneous computing] [Kernel scheduling] [Langchain] [Linux Kernel] [LTO] [Memory Management] [Performance Analysis] [PGO] [Power Optimization] [Python] [RAG] [Reinforcement Learning] [Thermal Management] [Voltage and Frequency Scaling] [Workload Prediction]
Educational requirements:
[Doctor of Philosophy PhD] [Master's Degree]
Role(s):
[Agent Engineer] [AI/Agent Engineer] [Camera Systems Engineer] [Compiler Optimization Engineer] [Engineer] [Optimization Engineer] [Performance and Power Optimization Engineer] [Power Optimization Engineer] [Software Engineer] [Systems Engineer] [Systems Software Engineer]