NVIDIA

H1B वीज़ा प्रायोजक कृत्रिम बुद्धिमत्ता विनिर्माण स्वास्थ्य सेवा

NVIDIA गेमिंग, डेटा सेंटर, क्लाउड कंप्यूटिंग, स्वास्थ्य सेवा, विनिर्माण, ऑटोमोटिव और रोबोटिक्स सहित विभिन्न क्षेत्रों में उपयोग की जाने वाली त्वरित कंप्यूटिंग और कृत्रिम बुद्धिमत्ता प्रौद्योगिकियाँ विकसित करती है। इसका कार्य ग्राफ़िक्स प्रोसेसिंग यूनिट, AI प्लेटफ़ॉर्म, सिमुलेशन और उद्योग-केंद्रित समाधानों तक फैला हुआ है। इनमें सहयोगात्मक 3D वर्कफ़्लो के लिए NVIDIA Omniverse, स्वायत्त वाहन विकास के लिए NVIDIA DRIVE और स्वास्थ्य सेवा अनुप्रयोगों के लिए NVIDIA Clara शामिल हैं। कंपनी उन्नत कंप्यूटिंग, सिमुलेशन और AI-आधारित विश्लेषणों को समर्थन देने वाले बुनियादी ढाँचे और सॉफ़्टवेयर पर काम करने वाली बड़ी तकनीकी टीमों को एक साथ लाती है।

कंपनी की नौकरियाँ

Senior Systems Software Engineer, Kubernetes Scale – NVIDIA DGX Cloud

Scale and optimize Kubernetes infrastructure for NVIDIA DGX Cloud and distributed AI workloads. Build performance testing, monitoring, analysis, and CI/CD systems for accelerated computing at scale.

2 दिन पहले

zł 2,92,500 – zł 6,50,000 / वर्ष

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AWS Azure Go Google Cloud Platform Kubernetes Node.js Python क्लाउड वितरित प्रणालियाँ

विवरण

Own end-to-end performance and scalability analysis for the NVIDIA DGX Cloud software stack, spanning Kubernetes control and data planes, GPU Operator, Network Operator, DCGM, NIM, and distributed inference serving.
Partner with AI researchers, developers, and customers to create automated tests that model real-world workloads.
Analyze performance and scalability problems in complex distributed systems and determine their root causes.
Create monitoring, reporting, and analytical tools for testing software, GPU, and CPU performance and scale.
Triage, debug, and resolve issues involved in operating Kubernetes clusters at ultra-large scale.
Develop and maintain continuous performance and scalability testing through a modern CI/CD pipeline.
Record research, methods, and findings, and present results at internal and external events such as KubeCon and GTC.
Participate in Kubernetes, CNCF, and NVIDIA open-source communities to assess AI workload performance and help shape design decisions.

आवश्यकताएँ

At least eight years of experience with computer architecture, networking, storage systems, or accelerators.
Bachelor’s or master’s degree in engineering—preferably electrical engineering, computer engineering, or computer science—or equivalent experience.
Expert-level Kubernetes knowledge and familiarity with related CNCF projects.
Experience working with large-scale parallel and distributed systems based on accelerators.
Expertise in optimizing performance and AI workloads on large-scale systems.
Experience with performance modeling and benchmarking at scale.
Proficiency in Golang and Python.
Experience with the NVIDIA software ecosystem for training and inference.
Expertise with at least one public cloud infrastructure provider, such as GCP, AWS, Azure, or OCI.
Strong operational experience with a Kubernetes distribution.
Experience scaling Kubernetes clusters to ultra-large node and object counts.
A demonstrated record of open-source community participation.
A PhD in a relevant field is a standout qualification.
Excellent communication and interpersonal skills.

संबंधित नौकरियाँ

201 – 500 कर्मचारी

H1B वीज़ा प्रायोजक परामर्श लॉजिस्टिक्स स्वास्थ्य सेवा

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Build and scale dependable Python web-scraping workflows for Mindrift’s AI projects. Extract, validate, and deliver accurate structured data from complex, dynamic websites.

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501 – 1,000 कर्मचारी

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$30 / घंटा

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Build dependable Python-based web scraping and data processing workflows for Mindrift’s AI projects. Extract, validate, and scale structured datasets from complex, dynamic websites.

खोलें

Senior Systems Software Engineer, Kubernetes Scale – NVIDIA DGX Cloud

Scale and optimize Kubernetes infrastructure for NVIDIA DGX Cloud and distributed AI workloads. Build performance testing, monitoring, analysis, and CI/CD systems for accelerated computing at scale.

विवरण

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