Senior Systems Software Engineer – NV Cloud Functions

🔥 1 minute ago

🇮🇳 India – Remote

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Improve the performance, reliability, and scaling behavior of a system routing AI workloads onto distributed GPU fleets • Design and ship services in Java, Go, and Rust • Build in the open on a public repository with transparent commits, design proposals, and reviews • Automate and optimize build, test, integration, and release processes for cloud native systems • Partner with engineering teams across NVIDIA to integrate adjacent technologies, including KAI Scheduler, NVIDIA NIM, Grove, and Dynamo • Triage community issues and pull requests for an open-source project • Write documentation for contributors • Develop, deploy, and monitor GPU- and DPU-accelerated applications on NVIDIA hardware

🎯 Requirements

• Bachelor’s or Master’s Degree in Computer Science or equivalent experience • 3+ years of hands-on software engineering • Expert-level knowledge in a systems programming language (Go, C, Rust) • Proven understanding of Data Structures, Algorithms, and Distributed Software Architecture • Strong understanding of container orchestration systems (Kubernetes) and container technologies • Hands-on automation experience in continuous integration frameworks such as GitLab and ArgoCD • Expertise in a scripting language (Bash, Python) • Knowledge and experience working with system internals of Unix/Unix-like kernels such as Linux • Understanding of performance, security, and reliability in complex distributed systems • Background with pub-sub models and message queues • Experience optimizing high-throughput network paths • Working understanding of unary, streaming, and bidirectional protocols across HTTP/2 and gRPC • Experience developing Kubernetes Custom Resources and Operators deployed in Cloud Service Providers

🏖️ Benefits

• Competitive salaries • Generous benefits package