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Overview
Mid-Level

DevOps Engineer, SambaSuite Platform

Confirmed live in the last 24 hours

SambaNova Systems

SambaNova Systems

Palo Alto, California, United States
On-site
Posted April 7, 2026

Job Description

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.

SambaNova 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 SambaNova 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.

About the Role

SambaNova Systems is on the frontier of enterprise AI—and the infrastructure that powers it has to move fast, stay reliable, and scale without friction. As a DevOps Engineer on the SambaSuite platform team, you will help build and maintain the CI/CD pipelines, build systems, and release infrastructure that keep our engineering teams shipping at speed.

SambaSuite is our cloud-agnostic MLOps platform, purpose-built to simplify the deployment, management, and scaling of foundation model workloads in production environments—powered by our Reconfigurable Dataflow Unit (RDU) architecture. This is a high-impact, high-visibility role at the intersection of AI infrastructure, enterprise software, and developer productivity. You’ll work closely with engineering teams across the company to improve workflows, eliminate friction, and make every release smoother than the last.

This role is well-suited for an early-career engineer with strong fundamentals who is eager to grow fast in a demanding, cutting-edge environment.

What You’ll Do

  • Build, maintain, and improve CI/CD pipelines and release infrastructure to support rapid, reliable software delivery.
  • Support and optimize build systems, including Bazel ecosystem components such as BuildBuddy.
  • Maintain and improve CircleCI workflows and configurations to maximize pipeline efficiency.
  • Manage Python package dependencies and their integration within CI/CD pipelines.
  • Support artifact management systems including Google Artifact Registry (GAR) and JFrog.
  • Troubleshoot build, pipeline, and infrastructure issues—diagnosing root causes and driving fixes to completion.
  • Collaborate across engineering teams to improve build, test, and release processes and developer experience.
  • Contribute to overall system reliability, scalability, and performance improvements.

What You’ll Bring

Required

  • Working knowledge of DevOps principles and practices, including CI/CD pipeline design and maintenance.
  • Experience with CI/CD platforms, with CircleCI preferred.
  • Proficiency in at least one scripting or programming language, such as Python or Bash.
  • Comfort working in Linux/Unix environments and with command-line tooling.
  • Strong problem-solving instincts and the ability to dig into ambiguous infrastructure issues.
  • Collaborative by nature—you communicate well and work effectively with cross-functional engineering teams.

Preferred

  • Hands-on experience with CircleCI at the workflow and configuration level.
  • Familiarity with containerization (Docker) and orchestration (Kubernetes).

Why SambaNova Systems

SambaNova builds the AI systems that power some of the world’s most demanding enterprise workloads—from chip to platform to software. Joining early in your career means you’ll grow alongside a world-class engineering team, work on problems that matter at real scale, and build skills that will define the next era of AI infrastructure. We move fast, invest in our people, and give engineers meaningful ownership from day one.

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