Software Architect, Cloud Engineer - Software, AI Engineer (Applied/Software)
Listed on 2026-06-12
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Software Development
Cloud Engineer - Software, Software Architect, AI Engineer (Applied/Software), DevOps
The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.
About Samba NovaSamba Nova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the Samba Nova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state‑of‑the‑art open‑source models that can be easily and securely fine‑tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.
Join the company that's building the future of AI computing. Samba Nova is disrupting the AI and high‑performance computing space with an integrated hardware and software platform.
Our Samba Stack inference serving platform is pushing the boundaries of inference serving for generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems.
AboutThe Role
Samba Nova is hiring a Software Architect for the Samba Stack platform.
We help enterprises and service providers host their own AI inference platforms, powered by our state‑of‑the‑art RDU (Reconfigurable Dataflow Unit) hardware architecture. Our cloud‑agnostic, enterprise‑grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale.
As a Software Architect on the Samba Stack team, you will define the technical direction of the platform, shaping how it evolves to meet the demands of the world's most demanding enterprise AI workloads. You will own the cross‑cutting architectural decisions that span teams and shape the platform's long‑term trajectory.
This is a high‑impact, high‑visibility role at the intersection of:
- AI infrastructure
- Enterprise software
- Systems architecture and design
- Developer experience
- Own the end‑to‑end technical architecture of the Samba Stack inference platform, ensuring it meets enterprise‑grade standards for scalability, reliability, and performance.
- Define and drive architectural strategy across engineering teams, aligning long‑term platform direction with product and business objectives.
- Lead design reviews for major new capabilities and cross‑cutting system changes, providing authoritative technical guidance and raising the quality bar across the Samba Stack engineering organization.
- Proactively identify and resolve systemic risks, including performance bottlenecks, reliability gaps, and scaling constraints, before they impact customers.
- Establish and evolve architectural standards, patterns, and best practices across the Samba Stack engineering organization.
- Partner with ML Engineers, Product Managers, QA, and Dev Ops to translate complex, ambiguous requirements into sound architectural decisions.
- Serve as a technical thought leader and mentor, growing the architectural thinking and design skills of Software Engineers across the team.
- Evaluate emerging technologies and industry trends to inform the platform's technical roadmap.
- Architect new systems, components, and capabilities to solve new and interesting problems in the AI inference space.
- 12+ years of software engineering experience, including significant time in a role with organization‑wide technical influence.
- Proven track record of owning large‑scale distributed systems architectures end‑to‑end from design to production.
- Expertise building backend systems in Python, Go, or Rust.
- Expert‑level understanding of Kubernetes, including Operators, Helm Charts, and cluster‑scale resource management.
- Strong command of distributed systems principles: consistency, fault tolerance, observability, and performance at scale.
- Demonstrated experience setting technical direction across multiple teams and driving cross‑functional alignment.
- Excellent written and verbal…
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