/

Point your AI agent at freehire and let it find you a job. A CLI and an MCP server over the whole job API — no browser.

Get the CLI →

FuriosaAI

Jobs Hiring Closed Discussion

46 jobs

Posted Sort

46 jobs Posted Sort

Solution Architect

A senior technical expert bridging business teams, customers, partners, and the developer community: analyzes customer pain points, designs optimal architectures, runs PoCs and benchmarks, and builds AI inference programs optimized on FuriosaAI NPU hardware and SDK. Requires Python and 3+ years of engineering experience.

AI C++ Docker GPU Kubernetes +7 skills

[신입/경력] Hardware Engineer (석사/박사)

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 Bash C++ FPGA LLM +8 skills

Algorithm - AI Research Engineer

AI Research Engineer developing proprietary LLMs for agentic tasks, RL post-training pipelines, and frontier AI research at a Korean AI chip company, primarily using PyTorch and deep learning frameworks.

Agentic AI AI Deep Learning LLM Machine Learning +2 skills

Algorithm - AI Research Engineer Intern

Open 65d APACInternshipIntern

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.

Agentic AI AI Deep Learning LLM Machine Learning +2 skills

Senior Manager, Treasury

Open 45d APACSenior

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…

Software Engineer, Compiler (AX Engineer)

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.

AI API Automation CI/CD Claude Code +6 skills

Software Engineer, Compiler (Front-end)

FuriosaAI is seeking a Software Engineer to develop the front-end of their AI compiler, focusing on model ingestion, graph-level optimizations, and the design of a tensor-level kernel language. The role involves translating deep learning models into internal representations and collaborating on compiler infrastructure to maximize performance on AI hardware.

AI C++ Deep Learning GPU LLM +6 skills

Software Engineer, Compiler (Middle-end)

Open 65d APACMiddle

FuriosaAI is seeking a Software Engineer to develop middle-end compiler optimizations for their AI inference hardware. The role involves designing IR abstractions, scheduling algorithms, and performance models to improve the efficiency of deep learning workloads on specialized compute platforms.

AI Deep Learning GPU

Software Engineer, Kernel Programming

Open 65d APACContract

FuriosaAI is seeking a Software Engineer to design and implement high-performance kernels for their proprietary AI-native compute platform. The role involves optimizing AI model performance on hardware, developing diagnostic tools, and enabling end-to-end programming for AI workloads.

AI Deep Learning GPU Tcl

Software Engineer, Kernel Programming Model

Design PyTorch-native kernel integration layers and runtime environments to execute custom AI kernels efficiently within PyTorch, optimizing for hardware control and tensor programmability.

AI C++ PyTorch Rust Technical Evangelism

Software - Software Engineer, Compiler (Kernel Optimization)

Software engineer on FuriosaAI's compiler team in Seoul who owns the performance of critical AI kernels in Furiosa-LLM: analyzing LLM serving workloads, finding bottlenecks, and writing highly optimized kernels in TCL (Tensor Contraction Language), plus developing scheduling and specialization techniques for dynamic serving workloads.

AI Deep Learning GPU LLM Tcl +1 skills

Software Engineer, AI Model Enablement & Inference

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

AI C++ CUDA LLM Machine Learning +7 skills

Production Engineer, LLM Serving

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 Automation Cloud C++ Distributed Systems +17 skills

Software Engineer, LLM Performance & Evaluation

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…

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

Software Engineer, Build Systems & Release Infrastructure

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 Automation Bash Bazel CentOS +12 skills

Systems Software Engineer, SoC Firmware

Develops and maintains low-level firmware for AI-native SoCs, including ROM code, bootloaders, and secure boot, while collaborating with hardware teams on SoC bring-up and validation.

AI C++ Embedded Systems Firmware FPGA +2 skills

Systems Software Engineer, Power, Performance, and Thermal (PPT)

Open 65d RemoteAPAC

Develops firmware/software for NPU management interfaces, handling communication between host systems and AI accelerators. Focuses on power, performance, and thermal telemetry, protocol compliance (MCTP/PLDM), and system-level validation for AI hardware.

AI Assembly C++ Embedded Linux Firmware +3 skills

Systems Software Engineer, PCIe Device Driver

Develop and maintain Linux PCIe device drivers and kernel modules for FuriosaAI's AI-native compute platform, optimizing DMA, IOMMU, and high-performance I/O pipelines.

AI API Firmware GDB HPC +4 skills

Systems Software Engineer, NPU Management Interface

Develops firmware/software for NPU management interfaces, handling communication between host systems and AI accelerators via protocols like MCTP/PLDM, while ensuring telemetry, health monitoring, and compliance with industry specs.

AI C++ Embedded Systems Firmware GPU +3 skills

Software Engineer, Site Reliability Engineer

Builds and maintains AI-native compute infrastructure for FuriosaAI’s NPU-based systems, focusing on reliability, observability, and automation to ensure scalable, secure, and efficient production services.

AI API Automation Cloud Cloud Native +6 skills