Qognitive is pioneering a novel machine learning paradigm inspired by quantum mechanics and quantum cognition. As a Machine Learning Performance Engineer, you will focus on optimizing and accelerating core mathematical operations for machine learning models, primarily through GPU acceleration and performance tuning.
Responsibilities:
- GPU Optimization: Leverage CUDA to accelerate computational workflows, ensuring efficient utilization of GPU resources
- Performance Tuning: Identify and resolve performance bottlenecks in both hardware and software components to enhance system throughput and reduce latency
- Collaboration: Work closely with Applied Machine Learning Research Engineers and Software Engineers to integrate new models and algorithms into the existing infrastructure
- Documentation: Maintain comprehensive documentation of system configurations, processes, and performance metrics to support continuous improvement and knowledge sharing