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SambaNova · Engineering · Staff+ · Posted 2026-08-20

Senior Principal Engineer - SambaRack

SambaNova · Bengaluru, Karnataka, India

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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

Join the company that's building the future of AI infrastructure. SambaNova is developing advanced AI systems powered by our RDU (Reconfigurable Dataflow Unit) architecture, combining hardware and software into an integrated platform for large-scale AI deployments.

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 a Senior Principal Engineer for the SambaRack platform.

You will help design and build the software 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 Senior Principal Engineer on the SambaRack team, you will:

Improve the performance, scalability, and reliability of rack-scale infrastructure and management software

Introduce new features and capabilities for monitoring, control, and diagnostics of SambaRack systems

Design and build components for hardware-software integration points across rack-scale AI systems

Drive technical execution across critical infrastructure initiatives, tightly integrated with hardware

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:

Design and build core software components that enable safe, reliable control, monitoring, and diagnostics for rack-scale AI systems

Lead the technical design and implementation of hardware-software integration points and infrastructure services

Improve observability, telemetry, and diagnostics capabilities across the SambaRack platform

Proactively identify and resolve systemic risks, including performance bottlenecks, reliability gaps, and scaling constraints, before they impact customers

Collaborate closely with Hardware Engineering, DevOps, QA, and Product teams to translate infrastructure requirements into sound technical solutions

Contribute to and help evolve architectural standards, patterns, and best practices across the infrastructure software team

Serve as a technical leader and mentor, fostering engineering excellence and systems-level thinking within the team

Evaluate emerging technologies and industry trends to inform technical approach and platform direction

Design and build new systems, components, and capabilities to solve new and interesting problems in the AI inference space

Required qualifications

8-12 years of software engineering experience

Strong experience building 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 design …

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