Software Engineer

Posted 5 Days Ago
Easy Apply
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Tokyo
In-Office
Mid level
Hardware • Manufacturing
The Role
Develop and optimize DNN models on new hardware platforms, analyze performance bottlenecks, and improve model accuracy. Collaborate with the team on machine learning technologies.
Summary Generated by Built In

Tenstorrent is leading the industry on cutting-edge AI technology, revolutionizing performance expectations, ease of use, and cost efficiency. With AI redefining the computing paradigm, solutions must evolve to unify innovations in software models, compilers, platforms, networking, and semiconductors. Our diverse team of technologists have developed a high performance RISC-V CPU from scratch, and share a passion for AI and a deep desire to build the best AI platform possible. We value collaboration, curiosity, and a commitment to solving hard problems. We are growing our team and looking for contributors of all seniorities.

This role is on-site and based out of Tokyo, Japan

職務内容(Responsibilities)

  • tt-metalの開発、ttnn / tt-transformersへのDNNモデル実装
  • DNNモデルのパフォーマンス解析および最適化
  • DNNモデルの精度改善

必須スキル・経験(Requirements)

  • 最新のMLモデルを新しいハードウェアプラットフォーム上で立ち上げた経験
  • 性能ボトルネックの分析、アーキテクチャの微調整、モデルの精度・堅牢性向上のスキル
  • DNNモデル最適化手法(例:量子化, Sparsity, Attention最適化)の理解と実装経験
  • Matrix/SIMD 計算エンジン、メモリキャッシュなどのハードウェア特性への理解
  • 最新のML研究動向を把握し、実用的な改善へ落とし込む能力
  • 英語での開発チームとの円滑なコミュニケーションスキル

歓迎スキル(Nice to Have)

  • NVIDIA GPU(H100, A100等)、AMD Instinct、Habana GaudiなどのAIハードウェア利用経験
  • 大規模AIワークロードのチューニング・最適化経験
  • DNNモデルのプロファイリングおよび最適化経験、C++でのパフォーマンスチューニング経験
  • HPCクラスタや分散処理(MPI, NCCL等)の知識
  • クラスタ管理ソフトウェア(Slurm, Kubernetesなど)の導入経験
  • オープンソースプロジェクトへの参加または貢献経験

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

This offer of employment is contingent upon the applicant being eligible to access U.S. export-controlled technology.  Due to U.S. export laws, including those codified in the U.S. Export Administration Regulations (EAR), the Company is required to ensure compliance with these laws when transferring technology to nationals of certain countries (such as EAR Country Groups D:1, E1, and E2).   These requirements apply to persons located in the U.S. and all countries outside the U.S.  As the position offered will have direct and/or indirect access to information, systems, or technologies subject to these laws, the offer may be contingent upon your citizenship/permanent residency status or ability to obtain prior license approval from the U.S. Commerce Department or applicable federal agency.  If employment is not possible due to U.S. export laws, any offer of employment will be rescinded.

Top Skills

Amd Instinct
Attention Optimization
C++
Dnn Models
Habana Gaudi
Kubernetes
Ml Models
Mpi
Nccl
Nvidia Gpu
Quantization
Slurm
Sparsity
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The Company
HQ: Toronto, ON
389 Employees
Year Founded: 2016

What We Do

Tenstorrent is a next-generation computing company that builds computers for AI.

Headquartered in Toronto, Canada, with U.S. offices in Austin, Texas, and Silicon Valley, and global offices in Belgrade and Bangalore, Tenstorrent brings together experts in the field of computer architecture, ASIC design, advanced systems, and neural network compilers.

Join us: www.tenstorrent.com/careers

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