Software Architect - SambaRack

SambaNova is a leader in next-generation AI infrastructure, delivering a full-stack inference platform for customers worldwide. At the core of SambaNova's technology is the RDU (Reconfigurable Dataflow Unit) — a chip built on a dataflow architecture rather than the traditional GPU model. Its decode performance is especially strong for agentic workloads like multi-turn agents, code generation, and long-running applications. RDUs are packaged into SambaRack, rack-scale hardware that lets customers deploy state-of-the-art models with better performance, greater energy efficiency, and faster time to value.

About the team

Our products include SambaRack, a rack-scale AI infrastructure system, and SambaStack, our inference serving platform. Together, they enable customers to deploy and operate production AI environments with performance, reliability, and control.

We are a team of engineers and innovators building next-generation AI infrastructure systems designed for enterprise-scale deployments.

About the role

SambaNova is hiring Software Architects for the SambaRack platform.

You will help design and build the software architecture that enables customers to monitor, control, update, and diagnose SambaRack systems safely and reliably.

This is a hands-on software development role requiring significant technical expertise in systems and infrastructure, focused on building rack-scale hardware management and infrastructure software that operates in direct contact with hardware across diverse production environments, including customer-managed and air-gapped deployments.

As a Software Architect on the SambaRack team, you will:

Design scalable infrastructure services for rack-scale AI systems

Define platform architecture and technical direction for infrastructure components

Improve observability, telemetry, and diagnostics capabilities

Drive software design for infrastructure tightly integrated with hardware systems

This is a high-impact, high-visibility role at the intersection of:

AI infrastructure

Distributed systems

Hardware-software integration

Responsibilities

Some of your responsibilities will include:

Own the end-to-end technical architecture of the SambaRack infrastructure and management platform, ensuring it enables safe, reliable control, monitoring, and diagnostics for rack-scale AI systems.

Define and drive architectural strategy across engineering teams, aligning long-term platform direction with product and business objectives.

Lead design reviews for hardware-software integration points and infrastructure services, providing authoritative guidance on rack-scale system architecture and improving overall system reliability.

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 engineering organization.

Partner with Hardware Engineering, DevOps, QA, and Product teams to translate infrastructure requirements into sound, robust architectural decisions.

Serve as a technical thought leader and mentor, fostering architectural excellence and systems-level thinking within the infrastructure software 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.

Required qualifications

12-15 years of software engineering experience

Strong experience architecting infrastructure, systems, or platform software

Solid programming experience in Go, Rust, Python, or C/C++

Strong understanding of Linux, networking, concurrency, and distributed systems

Experience designing reliable backend or control-plane services for production systems

Experience with hardware management systems such as BMCs, Redfish, IPMI, or OpenBMC

Experience …