FuriosaAI

3 months ago

AI Application Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Bridge FuriosaAI's software stack with market demand by developing a comprehensive AI application ecosystem, delivering high-impact AI apps and technical resources centered around the FuriosaAI apps repository. Lead model integration, build reference applications (RAG, agentic systems, RL inference engines, video processing pipelines), and foster ecosystem development with open-source collaboration and industry leadership.

Location: Seoul

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead the integration of AI models including VLA, Vision, and Multimodal architectures using the kernel programming model to ensure performance and developer readiness.
•Build end-to-end reference applications such as RAG systems, agentic systems, RL inference engines, and video processing pipelines using top-stack toolchains and industry-standard frameworks.
•Support live application demos and collaborate with the global developer community through GitHub and open-source channels to improve real-world usability.
•Identify and prepare strategic contribution items for industry groups such as OCP to establish FuriosaAI’s technical leadership and market presence.
•Ecosystem Development: Support live application demos and collaborate with the global developer community through GitHub and open-source channels to improve real-world usability.

Key Requirements

•BS in Computer Science, Electrical Engineering, or a related field.
•Experience in programming with Python, Rust, or other programming languages.
•Experience in AI model implementation, optimization, and deployment using deep learning frameworks (PyTorch, HuggingFace), serving frameworks (vLLM, SGLang), and performance profiling tools.
•Experience collaborating across engineering, product, and design teams to align software development with product requirements.
•MS or PhD in Computer Science, Electrical Engineering, or a related field.

Experience:AIOpen SourceSoftware

Education:Bachelor's in Computer Science-

Skills:CommunicationCollaborationProblem-solvingTeamwork

Tech Stack:PythonRustPyTorchHuggingFaceVLLMSGLangRAGMultimodalRL

Company Brief

FuriosaAI

Designs and develops data‑center AI inference accelerators (RNGD) and a full stack hardware‑software platform to deliver energy‑efficient, high‑performance AI compute for enterprise and cloud customers.

Industry: Hardware Devices

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: USD 500M to 1B

Funding: Series C

Headquarters: Seoul, South Korea

Founded: 2017

Glassdoor: 4.6

Website LinkedIn Glassdoor

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FuriosaAI

3 months ago

AI Application Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 4 hours agoStatus: Live

Job Summary

Location: Seoul

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Key Responsibilities

•Lead the integration of AI models including VLA, Vision, and Multimodal architectures using the kernel programming model to ensure performance and developer readiness.
•Build end-to-end reference applications such as RAG systems, agentic systems, RL inference engines, and video processing pipelines using top-stack toolchains and industry-standard frameworks.
•Support live application demos and collaborate with the global developer community through GitHub and open-source channels to improve real-world usability.
•Identify and prepare strategic contribution items for industry groups such as OCP to establish FuriosaAI’s technical leadership and market presence.
•Ecosystem Development: Support live application demos and collaborate with the global developer community through GitHub and open-source channels to improve real-world usability.

Key Requirements

•BS in Computer Science, Electrical Engineering, or a related field.
•Experience in programming with Python, Rust, or other programming languages.
•Experience in AI model implementation, optimization, and deployment using deep learning frameworks (PyTorch, HuggingFace), serving frameworks (vLLM, SGLang), and performance profiling tools.
•Experience collaborating across engineering, product, and design teams to align software development with product requirements.
•MS or PhD in Computer Science, Electrical Engineering, or a related field.

Experience:AIOpen SourceSoftware

Education:Bachelor's in Computer Science-

Skills:CommunicationCollaborationProblem-solvingTeamwork

Tech Stack:PythonRustPyTorchHuggingFaceVLLMSGLangRAGMultimodalRL

Company Brief

FuriosaAI

Industry: Hardware Devices

Company Size: Medium (51 to 250 employees)

Growth: Scaleup

Valuation: USD 500M to 1B

Funding: Series C

Headquarters: Seoul, South Korea

Founded: 2017

Glassdoor: 4.6

Website LinkedIn Glassdoor