Software Architect

Join SambaNova, a leading AI infrastructure company, as a Software Architect for the SambaStack platform. In this high-impact role, you will define the technical direction of the platform, shape its evolution to meet enterprise AI workload demands, and own cross-cutting architectural decisions. You will work at the intersection of AI infrastructure, enterprise software, systems architecture and design, and developer experience.

• Define the technical direction of the SambaStack platform, shaping its evolution to meet enterprise AI workload demands.
• Own the end-to-end technical architecture of the SambaStack inference platform, ensuring it meets enterprise-grade standards for scalability, reliability, and performance.
• Lead design reviews for major new capabilities and cross-cutting system changes, providing authoritative technical guidance and raising the quality bar across the engineering organization.

• Expert-level understanding of Kubernetes, including Operators, Helm Charts, and cluster-scale resource management
• 12+ years of software engineering experience, including significant time in a role with organization-wide technical influence
• Strong command of distributed systems principles: consistency, fault tolerance, observability, and performance at scale
• Excellent written and verbal communication skills: Able to clearly articulate complex architectural decisions to both engineering and non-technical audiences
• Demonstrated experience setting technical direction across multiple teams and driving cross-functional alignment
• Expertise building backend systems in Python, Go, or Rust
• Proven track record of owning large-scale distributed systems architectures end-to-end from design to production
• Track record of mentoring more junior engineers and elevating team-wide engineering quality
• Deep familiarity with AI inference serving, orchestration, and the infrastructure challenges of LLM workloads at production scale
• Experience designing systems for custom or novel hardware accelerators (e.g., dataflow architectures, GPUs, TPUs)
• Background in ML application optimization and productionization
• Experience building cloud-native platforms for enterprise customers with stringent SLA and compliance requirements
• Experience at a high-growth AI infrastructure company
• Familiarity with AI coding assistants and the developer tooling ecosystem