Principal Software Engineer, DGX Cloud Production Engineering

This is a fully remote position, open to applicants in California.

📋 Description

• Oversee the design and development of essential Kubernetes platform functionalities, encompassing cluster management, control plane services, fleet lifecycle, and day-2 operations.

• Create and develop highly dependable distributed systems and APIs for the provisioning, management, upgrading, and remediation of Kubernetes clusters at scale.

• Establish technical requirements, validation standards, production-readiness practices, and guidance for declarative workflows and automation throughout the Kubernetes ecosystem.

• Work collaboratively with engineering teams to craft cohesive platform experiences that integrate management APIs, lifecycle orchestration, runtime integration, and fleet consistency.

• Spearhead the identification and resolution of intricate platform challenges involving infrastructure, runtime, networking, hardware, and operations.

• Enhance the scalability, resilience, and operability of systems that underpin large-scale AI deployments.

• Shape engineering standards, architectural choices, and the long-term strategy for the platform.

• Guide senior engineers and elevate the standards for design quality, execution, and engineering rigor throughout the organization.

⛳️ Requirements

• Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related discipline, or equivalent professional experience.

• 15+ years of pertinent software engineering experience, particularly in the development and operation of large-scale production systems.

• In-depth knowledge of Kubernetes internals, APIs, controllers or operators, and cluster lifecycle management.

• Strong foundation in distributed systems design, reliability, scalability, and failure recovery.

• Documented experience in developing platform software, infrastructure control planes, or foundations for managed services.

• Proficient programming skills in one or more systems or cloud-native languages, including Go, Python, Rust, or C++.

• Experience in designing clear APIs and abstractions for platform users and engineering teams.

• Capability to provide technical leadership across various teams and to drive complex, cross-functional initiatives to successful completion.

• Exceptional communication and collaboration abilities, supported by significant technical contributions and recognized expertise in influencing departmental architecture and high-priority company initiatives.

• Experience developing Kubernetes platforms or managed Kubernetes services.

• Expertise in fleet management, cluster upgrades, node lifecycle, remediation, or day-2 operations.

• Familiarity with declarative infrastructure, Kubernetes controllers, GitOps, or policy-driven platform automation.

• Understanding of public-cloud and bare-metal infrastructure environments.

• Experience in supporting AI, GPU, HPC, or other large-scale accelerated computing platforms.

🏝️ Benefits

• Competitive salaries

• Generous benefits package

• Equity

• Additional benefits