FuriosaAI

Open 65d APACInternshipIntern

Algorithm - AI Research Engineer Intern

Agentic AI AI Deep Learning LLM Machine Learning +2 skills

As an AI Research Engineer Intern at FuriosaAI, you will conduct research on advanced AI models, focusing on areas like LLMs and RL, and contribute to the development of a proprietary AI compute platform. You will work with PyTorch and other deep learning tools to build high-performance AI solutions.

Hardware - AI Chip Architect

AI C++ Machine Learning Rtl Verilog

Designs AI-native hardware architectures and RTL implementations for high-performance, energy-efficient AI chips, focusing on chip modules, simulation, and optimization for power, timing, and area.

Software Engineer, Agent System Developer

Agentic AI AI Ai Enablement CLI C++ +4 skills

Builds and optimizes an agent system framework for AI-driven automation, integrating LLM-based reasoning, tool execution, and orchestration in a production environment.

Software Engineer, Compiler (AX Engineer)

AI API Automation CI/CD Claude Code +6 skills

Build and refine AI-assisted engineering workflows for FuriosaAI’s compiler team, optimizing development, debugging, and CI using LLM tools and automation to boost team productivity.

Software Engineer, Machine Learning Engineer (Agentic AI)

Agentic AI AI Ai Enablement AutoGen Distributed Training +6 skills

Develops autonomous agent systems that solve complex engineering problems via AI-driven exploration, optimization, and self-improvement, integrating LLM post-training and multi-agent workflows for production-grade solutions.

AI AutoGen Cloud C++ GPU +16 skills

Solutions Architect - US

Open 62d North America

United States

Design and deploy AI/LLM models on FuriosaAI’s RNGD NPU using the Furiosa SDK, running POCs, benchmarks, and debugging for US customers while translating technical capabilities into business value.

Open 54d North AmericaContract

Business Development & Sales - US

United States

About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea…

AI Cloud GPU LLM Machine Learning +1 skills

Software Engineer, AI Model Enablement & Inference

Open 35d APAC

AI C++ CUDA LLM Machine Learning +7 skills

Software engineer on FuriosaAI's MLSys team enabling frontier LLMs on the company's NPU chips: analyzing model architectures, writing and optimizing Tensor Contraction Language (TCL) kernels (attention, MoE), integrating models into the Furiosa-LLM inference stack, and validating correctness and performance. Core stack: Python, PyTorch, TCL DSL, with Rust/C++ code reading and vLLM/SGLang technique

Software Engineer, LLM Performance & Evaluation

Open 35d APAC

Acceptance Criteria AI Automation C++ Data Pipelines +13 skills

About FuriosaAI FuriosaAI builds high-performance, high-efficiency AI compute for the Inference Era. Founded in 2017 by veteran semiconductor and AI algorithm engineers, Furiosa operates globally with offices in Korea…