CFO์ ํจ๊ป ์ค์ฅ๊ธฐ ์ฌ์ ๊ณํ๊ณผ ์ฌ๋ฌด ๋ชจ๋ธ์ ์๋ฆฝํ๊ณ , ์๋ณ ์ค์ . ํ๊ธํ๋ฆ. Runway ๋ฑ ํต์ฌ ์ฌ๋ฌด KPI๋ฅผ ๋ถ์ํด ๊ฒฝ์์ง ์์ฌ๊ฒฐ์ ์ ํ์ํ ์ธ์ฌ์ดํธ์ ์คํ ๊ฐ๋ฅํ ๋์์ ์ ์ํฉ๋๋ค. ๋จ์ํ ๋ฐ์ดํฐ ์ง๊ณ๊ฐ ์๋๋ผ, ์ฌ์ ์ ํต์ฌ ๋์ธ(driver)์ ์ดํดํ ๋ถ์์ด ํต์ฌ์ ๋๋ค.
Vessl-AI jobs
A cloud platform for training, fine-tuning, and serving AI models across clouds.
14 open roles at Vessl-AI
Lead research and engineering for LLM inference optimization and post-training, improving performance across large GPU clusters and bringing validated research into products and customer workloads.
์ฌ๋ด IT ๋๊ตฌ, ๊ณ์ , ์๋ํฌ์ธํธ, ๋คํธ์ํฌ ๋ฐ ์์ฐ์ ์ด์. ๊ฐ์ ํ๊ณ , ๋ณด์ ์ ์ฑ ๊ณผ ์๋ํ, ๋ฌธ์ํ๋ฅผ ํตํด ๊ตฌ์ฑ์์ ์ ๋ฌด ํ๊ฒฝ์ ์์ ์ ์ด๊ณ ํจ์จ์ ์ผ๋ก ์ ์งํฉ๋๋ค.
๊ณ ๊ฐ์ AI ์ํฌ๋ก๋์ ๋ง์ถฐ GPU ์ธํ๋ผ ์๋ฃจ์ ์ ์ ์ํ๊ณ PoC, ์จ๋ณด๋ฉ, ๋ง์ด๊ทธ๋ ์ด์ ์ ์ด๋๋ฉฐ, ์ด์ ์ด์ ํด๊ฒฐ๊ณผ ์๋ํ. ํ๋ซํผ ๊ฐ์ ์ ํตํด ๊ณ ๊ฐ ์ฑ๊ณต์ ์ง์ํฉ๋๋ค.
์ ๋ต ๊ณ ๊ฐ์ GPU ์ธํ๋ผ ๊ฒฝํ์ ์ฑ ์์ง๊ณ FDE ํ์ ์ด๋๋ฉฐ, ์ฅ์ ์ง๋จ๊ณผ ์๋ํ ํ๋ ์ด๋ถ์ ํ์ฅํด ๊ณ ๊ฐ ๋์์ ์๋์ ์ผ๊ด์ฑ์ ๋์ด๋ ์ญํ ์ ๋๋ค.
Own and improve HR operations across the employee lifecycle, from recruiting and onboarding through evaluation and offboarding, while helping build people programs, culture, and efficient HR processes.
Own capacity planning for GPU infrastructure by aligning supply, demand, and allocation; shape customer-facing SLAs from SLI/SLO data and lead cross-functional reliability and compliance programs.
Leads reliability and architecture for a GPU cloud platform, building observability and automation, directing incident response, and proactively reducing risks across GPU, networking, and scheduling infrastructure.
Build and operate reliability systems for a GPU cloud platform by improving observability, responding to incidents, automating operational toil, and helping design and validate infrastructure.
Own accounting, tax, treasury, and revenue operations, including close management, audit support, cash forecasting, and reconciliation, while building scalable finance processes that support the companyโs growth.
๋ธ๋๋ ์ ๋ต์ ํ์ฅ ๊ฐ๋ฅํ ์๊ฐ ์์ด๋ดํฐํฐ์ ๋์์ธ ์์คํ ์ผ๋ก ๊ตฌํํ๊ณ , ๋์งํธ. ์คํ๋ผ์ธ ์ ์ ์ ๋ฐ์ ํฌ๋ฆฌ์์ดํฐ๋ธ๋ฅผ ์ด๋์ด ์ผ๊ด๋ ๋ธ๋๋ ๊ฒฝํ์ ๋ง๋ญ๋๋ค.
Lead the design and implementation of a GPU cloud platform, building Kubernetes control planes and workload orchestration while improving GPU and inference performance and automating fleet operations.
Design and build backend systems for a GPU cloud platform, including Kubernetes control planes, workload orchestration, performance optimization, and automated operations across large GPU clusters.
Own the technical delivery of GPU cluster infrastructure, from qualifying data center sites and designing network architecture to procuring hardware, validating completed clusters, and aligning partners on technical requirements.
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