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C++ Machine Learning Engineer, AI Models Training

Remote · USA Full-time New today

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations and cost efficiency. As a C++ Machine Learning Engineer on the AI Models team, you will work on the training framework for advanced models, writing high-performance C++ code and optimizing model performance on custom silicon.

Responsibilities

  • Extend and optimize our ML training framework with new ops, layers, and training features
  • Debug and tune model performance on Tenstorrent chips
  • Work with compiler and kernel teams to make sure models compile and run as expected
  • Support integration of real-world models and help bring them into production

Skills

  • Strong in C++ and low-level systems programming, especially in performance-critical code
  • Comfortable thinking in tensors, memory layout, and compiler graphs
  • Familiar with PyTorch and curious about how frameworks map to hardware
  • A builder who enjoys solving technical puzzles and digging into the details
  • Extend and optimize our ML training framework with new ops, layers, and training features
  • Debug and tune model performance on Tenstorrent chips
  • Work with compiler and kernel teams to make sure models compile and run as expected
  • Support integration of real-world models and help bring them into production

Benefits

  • Tenstorrent offers a highly competitive compensation package and benefits
  • We are an equal opportunity employer
  • This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology

Company Overview

  • Tenstorrent develops AI hardware and software solutions for data processing and machine learning application. It was founded in 2016, and is headquartered in Toronto, Ontario, CAN, with a workforce of 501-1000 employees. Its website is http://tenstorrent.com.
  • Company H1B Sponsorship

  • Tenstorrent has a track record of offering H1B sponsorships, with 8 in 2026, 49 in 2025, 42 in 2024, 17 in 2023, 18 in 2022, 28 in 2021. Please note that this does not guarantee sponsorship for this specific role.
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