Machine Learning Applications & Benchmarking… at Tenstorrent · Santa…

Summary: Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. This role focuses on benchmarking ML models across hardware setups, analyzing performance, and optimizing for speed and efficiency while contributing to software testing and release validation. Responsibilities: - Benchmark ML models across hardware setups and analyze performance - Identify slowdowns and optimize for speed and efficiency - Build demos and apps that highlight real ML use cases on our hardware - Contribute to software testing and release validation Required Qualifications: - Background in computer science, ML, or a related field - Proficient in Python with experience using PyTorch or TensorFlow - Comfortable writing clean, reproducible code and debugging performance issues - Curious, collaborative, and always looking to learn something new - Benchmark ML models across hardware setups and analyze performance - Identify slowdowns and optimize for speed and efficiency - Build demos and apps that highlight real ML use cases on our hardware - Contribute to software testing and release validation Required Skills: Python, PyTorch, TensorFlow Important Skills: Machine Learning Nice-to-Have Skills: Curiosity Benefits: Highly competitive compensation package, Benefits