Solution Architect
FuriosaAI · Seoul, South Korea
$152k - $238k
Full-Time
Job description
About the role
The Senior Solution Architect is a technical expert connecting business teams, clients, partners, and the developer community. You will analyze clients’ technical challenges based on FuriosaAI solutions and design optimal architectures to address them. You will help clients’ AI applications run reliably on FuriosaAI NPUs and use the Furiosa SDK to optimize end-to-end inference pipelines.
Key responsibilities
Technical communication: Use your deep understanding of Furiosa products and SDKs to clearly communicate product value in technical meetings and external events. Solution proposals: Gather client requirements, analyze pain points, and design optimal technical solutions. Proofs of concept: Work with clients to design and run technical validation, analyze results, and provide reports. Benchmarking and analysis: Conduct performance and accuracy benchmarks aligned with SDK releases and compare against third-party solutions such as GPUs. Inference-program development: Use AI applications and the Furiosa SDK to develop practical AI inference programs. Technical education: Provide client technical training before and after product adoption and create relevant guides and training materials. Internal collaboration: Gather client feedback and share it with engineering teams, communicating technical information to help improve products. Note: During onboarding, you will work together to define your specific area of responsibility based on your capabilities and company goals. Please feel free to apply if you have an area of interest.
Minimum qualifications
Bachelor’s degree or higher in Computer Science, with at least 3 years of experience. Strong interpersonal and communication skills for understanding and coordinating requirements. Logical data-analysis and problem-solving skills. Proficiency in Python.
Preferred qualifications
Experience developing and operating systems in Linux environments. Development experience with C, C++, or Rust. Experience automating work with scripts. Understanding and practical experience with LLM serving and inference optimization (vLLM, SGLang, TensorRT-LLM, etc.). Experience operating container-based infrastructure such as Kubernetes and Docker. Experience designing performance benchmarks and analyzing accuracy. Technical sales (pre-sales) or B2B technical support experience.
Why join FuriosaAI
The defining bottleneck of the AI era is building the right hardware and software stack to run it at global scale. Furiosa is solving this challenge holistically from the ground up. With our flagship chip, RNGD, in mass production today and our next-generation platform in development with Broadcom, we are proving that full-stack, tensor-native compute is the future of AI infrastructure. This is a pivotal moment to join our team, right as we accelerate our global expansion.
At Furiosa, you will:
Solve AI’s Most Urgent Challenge. Help build the high-performance, energy-efficient inference hardware and software required to fulfill the promise of advanced AI.
Pioneer Full-Stack Co-Design. Work with teams that are architecting solutions from silicon up through the compiler (featuring innovations like Tensor Contraction Language and Virtual ISA) and serving frameworks.
Ship Real-World Silicon, Software, and Solutions. Turn breakthrough technology into commercial deployment. RNGD is in mass production with TSMC and running live enterprise workloads for global leaders like LG AI Research and Samsung SDS.
Partner With the Industry’s Best. Collaborate across an elite global ecosystem that includes TSMC, Broadcom, SK Hynix, and GUC.
Do Your Life’s Best Work. Join a brilliant, low-ego, mission-driven team in a high-trust environment that values autonomy, intellectual curiosity, and shared ambition.