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NPU Performance Optimization Specialist
3 months ago
Cambridge, UK (Hybrid)
We are seeking a skilled NPU Performance Optimization Specialist to join a prominent technology firm. In this pivotal role, you will contribute to the enhancement of AI accelerator architectures and work alongside diverse teams to foster innovation in advanced AI systems.
Key Responsibilities:
- Performance Enhancement: Identify and resolve performance issues within NPU systems to boost overall system efficiency.
- Team Collaboration: Collaborate with both hardware and software teams to deliver insights and recommendations for system improvements.
- Benchmark Creation: Develop tailored benchmarks for assessing and refining NPU designs.
- Architectural Improvements: Partner with hardware engineers to investigate potential enhancements for future NPU designs.
- Optimization Strategies: Provide optimization recommendations to elevate the performance of NPU systems in conjunction with compiler engineers.
- Analysis Infrastructure: Spearhead the establishment of performance analysis frameworks for comprehensive root-cause investigations.
- Performance Evaluation: At least 7 years of experience in system performance evaluation with a focus on optimization strategies.
- Machine Learning Expertise: Proficient in applying and optimizing machine learning models in fields such as Vision, Language, or Speech.
- Hardware Acumen: Familiarity with performance modeling for NPUs, CPUs, or GPUs.
- Programming Proficiency: Strong skills in PyTorch, TensorFlow, C++, and Python.
- Effective Communication: Exceptional communication abilities to articulate technical concepts clearly.
- Model Enhancement: Practical experience in optimizing machine learning models for performance gains.
- Collaborative Problem-Solving: Demonstrated success in working collaboratively with engineering teams to solve complex issues.
- Leadership Experience: Background in leading teams to develop performance analysis infrastructure.
- Competitive Salary: Compensation aligned with experience.
- Ongoing Development: Opportunities for continuous learning in a vibrant environment.
- Innovative Culture: Focus on creativity and data-driven decision-making.
- Engaging Projects: Involvement in pioneering AI accelerator initiatives.