Software Engineer, AI Application
Confirmed on the employer's own hiring board on Nov 1, 2026. First seen by Alion on Aug 19, 2026. FuriosaAI scores A on the Alion truth index.
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.
About the Role
Develop a comprehensive AI reference application and maintain internal AI services to accelerate real-world deployment of RNGDs.
Key Responsibilities
Develop high-impact AI applications and technical resources to enable the success of the global developer community.
Develop enterprise-focused, high-quality reference applications and sample code that enable developers to effectively understand and utilize FuriosaAI’s SW stack and integrations.
Drive end-to-end application enablement such as RAG systems, agentic systems, and RL inference engines on FuriosaAI accelerators, creating reproducible guides and reference implementations.
Evaluate applications against real-world scenarios to validate performance, reliability, and usability of RNGD deployments.
Support live application demos and collaborate with the global developer community through GitHub and open-source channels to improve real-world usability.
Minimum Qualifications
BS in Artificial Intelligence, Computer Science, Electrical Engineering, or a related field.
Experience in full-stack (frontend and backend) development of AI services.
Experience collaborating across engineering, product, and design teams to align software development with product requirements.
Preferred Qualifications
MS or PhD in Artificial Intelligence, Computer Science, Electrical Engineering, or a related field.
Experience in developing and maintaining AI products, including running A/B tests and operating services under high traffic.
Experience in open-source projects on AI applications such as agentic systems, RAG, or multimodal pipelines.
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.