Senior Software Engineer
Core
Design and implement management layers, observability pipelines, and validation plans for on-premises AI inference toolchains and infrastructure.
Role type
Senior Software Engineer (Systems & AI Infrastructure)
Builds
AI inference toolchains, observability pipelines, management layers, and validation frameworks for on-prem infrastructure.
Domain
Enterprise AI Infrastructure / Systems Software
Deliverable
production ML models | infrastructure
Required skills
C, C++, C#, Java, JavaScript, Python, Rust, TypeScript, systems software development, deep systems architecture, driver development, automated test design, server administration, air-gapped/on-prem deployment strategies, AI model catalog management, inference layer protocols, observability pipeline design, telemetry integration, end-to-end workflow validation.
Preferred skills
operating system fundamentals, existing AI inference toolchains experience.
Responsibilities
Design and implement how to track usage, policy, and efficiency for AI capabilities; Build observability pipelines through telemetry insights and health signals; Define and develop the management layer for AI inference toolchains from model lifecycles to protocol gateways; Design and implement validation plans to assess infrastructure quality and evaluate end-to-end workflows; Coordinate with security and compliance teams to ensure toolchain release requirements.
Seniority
Senior, hands-on IC