FuriosaAI is looking for outstanding software engineers to design and build an end-to-end Kubernetes stack for next-generation AI chips.
In this role, you will work closely with the various teams for kubernetes integration, design, and build a resource scheduling and management solution at datacenter scale as part of a small team of experienced software engineers.
We are focused on supporting our products as first-class resource in kubernetes accross a variety of customer environments, both bare-metal and virtualized platforms. We expect you to have strong programming skills related to Go or Rust and deep understanding of kubernetes and linux container internals as well as excellent communication and planning skills.
Integrate FuriosaAI NPU products as first-class resources in Kubernetes ecosystem.
Develop and maintain scheduling and resource management solution for datacenter scale.
Collaborate with teams working on ML applications, SDK, runtime, device driver, firmware and infrastructure.
Maintain high-quality software products through robust test coverage.
Bachelor’s degree in Computer Science/Engineering, or any related field, or a equivalent work experience
Strong understanding of Data Structures and Algorithms.
Proven ability to write high-quality, efficient, and maintainable code.
3+ years of strong experience with the Go or Rust programming language.
Solid understanding of Kubernetes Architecture, Container Runtime and Linux container internals.
Background in Cloud Native environment and distributed system design.
Experience of writing dynamic GPU Scheduler for MIG-Capable GPUs.
Knowledge of Hardware Topology Management and Optimization for NUMA or PCIE-Topology or NVLink/NVSwitch
Real world strong hands-on experience of Building and Operating GPU Farm or GPU Cluster.
Experience of writing Kubernetes Operator with kubebuilder, operator sdk or informer.
Top Skills
What We Do
FuriosaAI designs and develops data center accelerators for the most advanced AI models and applications.
Our mission is to make AI computing sustainable so everyone on Earth has access to powerful AI.
Our Background
Three misfit engineers with each from HW, SW and algorithm fields who had previously worked for AMD, Qualcomm and Samsung got together and founded FuriosaAI in 2017 to build the world’s best AI chips.
The company has raised more than $100 million, with investments from DSC Investment, Korea Development Bank, and Naver, the largest internet provider in Korea. We have partnered on our first two products with a wide range of industry leaders including TSMC, ASUS, SK Hynix, GUC, and Samsung. FuriosaAI now has over 140 employees across Seoul, Silicon Valley, and Europe.
Our Approach
We are building full stack solutions to offer the most optimal combination of programmability, efficiency, and ease of use. We achieve this through a “first principles” approach to engineering: We start with the core problem, which is how to accelerate.
