
Senior Systems Software Engineer – NV Cloud Functions
Posted Sep 17

Posted Sep 17
This is a fully remote position, open to applicants in India.
• Enhance the performance, reliability, and scalability of a system that routes AI workloads across distributed GPU fleets.
• Design and deploy services using Java, Go, and Rust.
• Collaborate in an open environment on a public repository, ensuring transparent commits, design proposals, and reviews.
• Automate and streamline build, test, integration, and release processes for cloud-native systems.
• Work alongside engineering teams throughout NVIDIA to integrate complementary technologies, including KAI Scheduler, NVIDIA NIM, Grove, and Dynamo.
• Address community issues and manage pull requests for an open-source project.
• Create documentation for contributors.
• Develop, deploy, and monitor applications accelerated by GPU and DPU on NVIDIA hardware.
• Bachelor’s or Master’s Degree in Computer Science or equivalent experience.
• Over 3 years of practical software engineering experience.
• Expertise in a systems programming language (Go, C, Rust).
• Solid understanding of Data Structures, Algorithms, and Distributed Software Architecture.
• Strong knowledge of container orchestration systems (Kubernetes) and related container technologies.
• Practical experience with automation in continuous integration frameworks such as GitLab and ArgoCD.
• Proficiency in a scripting language (Bash, Python).
• Familiarity with system internals of Unix/Unix-like kernels, including Linux.
• Awareness of performance, security, and reliability considerations in complex distributed systems.
• Background knowledge of pub-sub models and message queues.
• Experience in optimizing high-throughput network paths.
• Working knowledge of unary, streaming, and bidirectional protocols, including HTTP/2 and gRPC.
• Experience in developing Kubernetes Custom Resources and Operators for deployment in Cloud Service Providers.
• Competitive salaries.
• Generous benefits package.
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