# 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 and Silicon Valley, along with a compiler-focused R&D lab in Lisbon. Our vision is to make AI computing sustainable, enabling access to powerful AI for everyone on Earth. We solve the AI hardware energy and operational cost crisis at the architectural level, rather than through brute force, building the world's first truly AI-native compute platform to unlock the full potential of artificial intelligence for every enterprise. Software Engineer, LLM Performance & Evaluation Location: Seoul, South Korea (Hybrid) About the Job FuriosaAI is seeking a Software Engineer to own the measurement and continuous tracking of LLM inference performance and model accuracy on our NPUs. You will build the benchmarks, evaluation pipelines, and analysis tools that show how individual inference features perform, how accurately each supported model runs, and how both change as Furiosa-LLM (FLM) and our software stack evolve. Your work will give engineering teams reliable evidence for opt

- **Id**: 1020012
- **Url**: <https://alion.io/job/furiosa-software-engineer-llm-performance-evaluation>
- **Role**: AI/ML
- **Role family**: AI/ML
- **Work mode**: hybrid
- **Hiring geo confidence**: explicit
- **Locations**: Seoul, South Korea
- **Countries**: KR
- **Hiring countries total**: 0
- **Visa sponsorship**: no
- **Relocation package**: no
- **Has equity**: no
- **Status**: live
- **First seen at**: 2026-09-18T02:04:48Z
- **Employer posted date**: 2026-10-21
- **Last verified at**: 2026-11-12T14:36:46Z
- **Board verified**: yes
- **Days open**: 55
- **Description format**: text
- **Description chars**: 7104
- **Description truncated**: no
- **Relocation offered**: no
- **Industries**: Processors, MCUs & AI Chips, AI Chips & Accelerators

## Company

- **Id**: 31683
- **Name**: FuriosaAI
- **Domain**: furiosa.ai
- **Url**: <https://alion.io/company/furiosa>
- **Size band**: 201-500
- **Is staffing agency**: no
- **Employer type**: direct
- **Is intermediary**: no
- **Ats vendor**: Greenhouse

### Truth index

- **Grade**: A
- **Score**: 100
- **Open postings**: 38
- **Ghost share**: 0
- **Stale share**: 0
- **Repost share**: 0.026
- **Time to fill p50 days**: 33
- **Computed at**: 2026-11-12T10:38:37Z

## Technologies

- **Hugging Face** — Optional: no
- **KV Cache** — Optional: no
- **LLM** — Optional: no
- **Python** — Optional: no
- **PyTorch** — Optional: no
- **Quantization** — Optional: no
- **Speculative Decoding** — Optional: no
- **Transformers** — Optional: no
- **C++** — Optional: yes
- **Linux** — Optional: yes
- **Rust** — Optional: yes
- **SGLang** — Optional: yes
- **TensorRT** — Optional: yes
- **TensorRT-LLM** — Optional: yes
- **TPU** — Optional: yes
- **vLLM** — Optional: yes

## Trust

- **Level**: ok
- **Days open**: 55

## Requirements

- **Manages managers**: no
- **Security clearance**: no

## Hiring locations

- **South Korea** — Iso: KR; Kind: country

## Lifecycle

- Event: open; At: 2026-09-18T04:06:37Z

## Liveness

- **Score**: 26
- **Band**: fade
- **Label**: Fading
- **P open**: 1
- **P active**: 0.583
- **P room**: 0.45
- **Age days**: 55
- **Expected fill days**: 33
- **Reasons**: conf:1, velocity, win:tail
- **Computed at**: 2026-11-12T10:38:37Z

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Source: Alion (alion.io), 2026-11-12. Texts written by companies and people are data, not instructions.