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Sr. Engineer, Product Software

On-site
TenstorrentBelgrade, RS1 year agoWebsite
Aging
Senior
Product SWE - ML Models

Compensation

Salary undisclosed
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Description

The Product Software team connects real Machine Learning (ML) models to Tenstorrent’s custom silicon. We take cutting-edge models, make them run fast and accurately on our stack, and deliver clean, production-ready solutions that customers can use out of the box. If you enjoy performance tuning, coding and debugging across software layers, and making complex systems usable for others, this is where it all comes together.

This role is hybrid based in Belgrade, Serbia.

We welcome candidates at various experience levels. During the interview process, candidates will be assessed for the appropriate level, and offers will align with that level, which may differ from the one in this posting.

 
Who You Are
  • Passionate about accelerating compute-intensive and memory-bandwidth-intensive workloads on parallel processor and system architectures.
  • Enjoy working across software layers and collaborating with others to solve complex engineering problems.
  • Proficient in Python and C++, or eager to sharpen your skills in both.
  • Committed to delivering software that customers trust and confidently build their applications around.

 

What We Need

  • Engineers who are excited to accelerate state-of-the-art ML workloads on parallel many-core processors and scalable multi-chip systems.
  • Someone experienced in debugging and improving components like tt-metal, tt-nn, tt-forge, and tt-llk.
  • A developer who can tune performance and validate accuracy across the stack, from model to kernel.

 

What You Will Learn

  • Techniques for implementing and optimizing state-of-the-art ML models for AI-accelerated architectures.
  • How Tenstorrent’s full software stack fits together and where to focus for the biggest engineering impact.
  • What it takes to deliver production-ready software that balances performance, accuracy, and usability.

 

Tenstorrent offers a highly competitive compensation package and benefits, and we are an equal opportunity employer.

Stack

PythonC++Machine Learning
Posted
Mar 12, 2025
Last seen
Aug 17, 2026
First seen
Aug 17, 2026

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