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Tokyo or Remote in Japan

Kembangkan infrastruktur perangkat lunak untuk menjalankan LLMs dengan chip MN-Core L1000

Membangun infrastruktur perangkat lunak untuk menjalankan model bahasa besar (LLMs) menggunakan akselerator inferensi yang akan datang dari Preferred Networks, MN-Core L1000.

Kenapa Menarik?

Kesempatan untuk bekerja dengan teknologi AI canggih dan membangun produk yang berdampak langsung.

Skills Wajib

Pemrograman C++Arsitektur Perangkat LunakOptimisasi KinerjaAI/MLPengembangan Infrastruktur

Keywords

LLMAI ChipInfrastruktur Perangkat LunakOptunaCuPy
Lihat Deskripsi Asli dari HN Who is Hiring

Deskripsi asli dari HN Who is Hiring

Preferred Networks | Tokyo or Remote in Japan | Full-time | https://www.preferred.jp/en Preferred Networks is an AI company based in Tokyo working across the stack, from AI chips and computing infrastructure to LLMs and products. You may already know us indirectly if you've used software we've built, such as Optuna or CuPy (or Chainer, back in the day). We are designing in-house chips (MN-Core series: https://mn-core.com/ ) and training LLMs (PLaMo series: https://huggingface.co/pfnet ), and our team is actively hiring for two roles related to these endeavors: - MN-Core LLM Serving Engine Engineer: Build software infrastructure to serve LLMs using our upcoming inference accelerator, MN-Core L1000. [Apply here: https://open.talentio.com/r/1/c/preferred/pages/121580 ] - LLM Inference Optimization Engineer: Improve the inference engine powering our API service and maintain PLaMo implementations in open source projects such as vLLM. [Apply here: https://open.talentio.com/r/1/c/preferred/pages/119173 ] Both roles require relocation to Japan. We are happy to provide visa and relocation support.

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Sumber
HN Who is Hiring
Tipe Pekerjaan
full time
Lokasi
Worldwide Remote · Remote
Kategori
Engineering
Level
mid
Diposting
2 Mei 2026

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