# Principal Engineer - SambaRack at SambaNova Systems

SambaNova Systems is hiring a Principal Engineer - SambaRack in Bengaluru, India. It pays INR 6000k-INR 8000k a year and Level rates it Builds AI ●●●●; you can [apply on SambaNova Systems](https://jobsbylevel.com/go/91ac9ad7-b21e-4feb-b690-9615879395bf?utm_medium=ai-agent).

AI Level 4, AI centrality 85 out of 100. Bengaluru, Karnataka, India.

## Details

- Company: [SambaNova Systems](https://jobsbylevel.com/companies/sambanova-systems)
- AI level: AI Level 4 (score 85 out of 100)
- Location: Bengaluru, Karnataka, India
- Salary: INR 6000k-INR 8000k
- Posted: August 20, 2026
- Apply: https://jobsbylevel.com/go/91ac9ad7-b21e-4feb-b690-9615879395bf?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=principal-engineer-sambarack-at-sambanova-systems-9935f8

## Prepare for this job

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## Description

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 Principal Engineer for the SambaRack platform. You will help 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 solid 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 Principal Engineer on the SambaRack team, you will: Improve the performance, scalability, and reliability of components within rack-scale infrastructure and management software Build 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 Support technical execution of infrastructure initiatives, tightly integrated with hardware This is a high-impact role at the intersection of: AI infrastructure Distributed systems Hardware-software integration Responsibilities Some of your responsibilities will include: Design and build software components that enable safe, reliable control, monitoring, and diagnostics for rack-scale AI systems Contribute to the technical design and implementation of hardware-software integration points and infrastructure services Build and improve observability, telemetry, and diagnostics capabilities for the SambaRack platform Identify and help resolve performance bottlenecks, reliability gaps, and scaling constraints within owned components Collaborate with Hardware Engineering, DevOps, QA, and Product teams to implement infrastructure requirements as sound technical solutions Apply and help refine architectural standards, patterns, and best practices within the infrastructure software team Partner with senior engineers and architects on technical designs, and share knowledge with peers to support engineering excellence Stay current on emerging technologies and industry trends relevant to the platform and assigned work Build new systems, components, and capabilities to solve new and interesting problems in the AI inference space Required qualifications 5-8 years of software engineering experience Experience building infrastructure, systems, or platform software Solid programming experience in Go, Rust, Python, or C/C++ Good understanding of Linux, networking, concurrency, and distributed systems Experience building backend or control-plane services for production systems Experience with hardware management systems such as BMCs, Redfish, IPMI, or OpenBMC Experience with

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