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FuriosaAI

Software Engineer, AI Model Enablement & Inference

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SeoulPosted 19 days ago

Apply on FuriosaAI's career page

Market pay check

Matched to Computer systems and software professionals

Source: Ministry of Employment and Labor wage information system (wage.go.kr), wage distribution by occupation.

What you'd do

Analyze LLM architectures and references to define implementation requirements and trade-offs.
Design and optimize TCL kernels for attention and mixture-of-experts on Furiosa NPUs.
Integrate new models and TCL kernels into Furiosa-LLM for correct efficient inference.

What they want

Deep knowledge of transformer LLMs,attention variants,MoE,and KV-cache behavior.
Strong Python and hands-on PyTorch or comparable framework model implementation experience.
Experience implementing and optimizing tensor ops or accelerator kernels with numerical correctness.

Nice to have

Experience bringing up or optimizing models on GPUs,NPUs,TPUs,or other accelerators.
Familiarity with vLLM,SGLang,or TensorRT-LLM internals including scheduling and parallelism.
Familiarity with ML compiler optimizations such as fusion,tiling,and scheduling.

Seoulstart's read

Visa tier (likely): E-7 specialty / professional (likely)
Korean language: Korean not required
English friendliness: High: JD in English, foreign-friendly signals
Context: Seoul AI chip startup with global offices; English-only JD suits specialized MLSys hires,likely E-7 track.

This is Seoulstart's analysis of the public job description, not the employer's stated policy. Verify visa sponsorship, language requirements, and remote allowances directly with the recruiter.

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