Experience: 4-7 years
Location: Remote
About the Role:
SambaNova is hiring a Senior Software Engineer (Full Stack, Backend-Focused) for SambaNova’s SambaSuite platform.
We are helping enterprises and service providers build their AI inference platforms for end users, powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture. Our cloud-agnostic, enterprise-grade MLOps platform abstracts infrastructure complexity and enables seamless deployment, management, and scaling of foundation model workloads at production scale.
As a Senior Software Engineer, you will take ownership of backend-heavy, full-stack feature development—building robust services, scalable APIs, and intuitive frontends that power the user experience. You’ll contribute to the core of our enterprise-grade AI platform, collaborating across teams to ensure our systems are performant, secure, and built to last.
This is a high-impact, high-visibility role working at the intersection of AI infrastructure, enterprise software, and developer experience.
Key Responsibilities:
-
Take ownership of our existing Bazel ecosystem, including RBE setup, maintenance, and troubleshooting
-
Ensure the stability, scalability, and performance of our CI/CD pipelines
-
Collaborate with development teams to optimize build and test processes
-
Maintain and improve our CircleCI setup, including workflow optimization and configuration management
-
Manage Python package dependencies and ensure seamless integration with our CI/CD pipelines
-
Work with the development team to implement best practices for package management and dependency management
-
Familiarize yourself with our GAR and JFrog Artifact Management setup and optimize its usage
-
Collaborate with the engineering team to implement infrastructure changes and improvements
Required Qualifications:
-
2+ years of experience in DevOps or Infra
-
1+ years of experience working with CircleCI
-
Strong understanding of Bazel and RBE, with experience maintaining and troubleshooting Bazel ecosystems especially in C++ (CMake) and Python
-
Experience in managing dependencies in large scale projects
-
Experience with Google Artifact Registry (GAR) and/or JFrog Artifact Management
-
Experience with Linux/Unix systems and command-line interfaces
-
Strong scripting skills (e.g., Python, Bash, etc.)
-
Excellent problem-solving skills and attention to detail
-
Ability to work collaboratively with cross-functional teams
Preferred Qualifications:
-
Experience with Python Package Management
-
Familiarity with containerization (e.g., Docker) and orchestration (e.g., Kubernetes)
-
Experience with other CI/CD tools (e.g., Jenkins, GitLab CI/CD, etc.)
-
Knowledge of software development best practices and coding standards
