Responsibilities and Opportunities

• Conduct performance analysis of large-scale systems built using our Rebellions' NPU
• Conduct performance analysis of models on competitor hardware/systems
• Contribute to driving features into our hardware based on workload optimizations/insight

Key Qualifications

• Minimum of 4 years of experience in software engineering
• Master’s or higher degree in Computer Science, Electrical Engineering, or related field
• Experience with analyzing, profiling, and optimizing large language model inference on GPU/NPU
• Experience with processor and system-level performance modelling
• Understanding of processor architectures and distributed systems and their implications on ML model performance
• Proficiency with C/C++ and Python
• Experience with TensorFlow, Pytorch, or other ML frameworks

Ideal Qaulifications

• Effective communication and presentation skills
• Able to work in a very dynamic startup environment