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Senior Engineer, Kernel Development & Optimization

TenstorrentBelgrade, Serbia
Hybrid Full-time

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Experience Level

Senior

Qualifications

Proficient C++ systems engineer with a background in developing performance-sensitive or low-level software. Ability to analyze concurrency, synchronization, latency management, and trade-offs between compute and memory. Data-driven approach, utilizing profiling and benchmarking to inform optimization choices. Skilled in debugging intricate runtime or kernel-level challenges in extensive codebases. Analytical thinker capable of deconstructing ambiguous performance issues into quantifiable experiments.

About the job

At Tenstorrent, we are at the forefront of pioneering AI technologies that are reshaping performance benchmarks, user experience, and cost-effectiveness. In this new era of AI-driven computing, our solutions must adapt to integrate advancements in software models, compilers, platforms, networking, and semiconductors. Our innovative team has successfully developed a high-performance RISC-V CPU from the ground up, fueled by our enthusiasm for AI and a strong commitment to crafting the premier AI platform. We appreciate collaboration, curiosity, and the desire to tackle complex challenges. As we expand our team, we invite contributors of all experience levels to join us.

In the realm of next-generation AI computation, our Kernel Development and Optimization team focuses on creating the essential performance-critical kernels that fully utilize our hardware capabilities for ML and HPC tasks.

This position is hybrid, based in Belgrade, Serbia.

We encourage applicants with a range of experience levels. During the interview process, we will evaluate candidates to match them with the appropriate level, which may vary from this posting.

About Tenstorrent

Tenstorrent is revolutionizing AI computing with innovative technology that enhances performance, usability, and cost effectiveness. Our diverse and passionate team is dedicated to developing state-of-the-art solutions in AI.

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