NVIDIA
NVIDIA
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।

Senior AI Infrastructure Solutions Architect

Guide NVIDIA AI infrastructure deployments with OEM and deployment partners, from architecture design through build readiness and execution. Advance platform adoption, validate deployments, resolve technical issues, and share field insights with product and engineering teams.

विवरण

  • Advise customers on complex workloads and align them with NVIDIA technologies.
  • Design scalable architectures with OEM and deployment partners.
  • Set technical direction, integration milestones, and deployment plans.
  • Create, validate, and support solutions that help customers and partners succeed.
  • Identify gaps between partner needs and NVIDIA offerings.
  • Share insights that inform product and engineering priorities.
  • Lead technical engagements and resolve complex issues.
  • Build technical capability and increase platform adoption.
  • Help developers and enterprises integrate NVIDIA SDKs, frameworks, and systems.
  • Work with product and engineering teams to support deployments and ongoing improvements.
  • Lead AI Factory build execution, technical readiness, deployment validation, and issue resolution.

आवश्यकताएँ

  • Bachelor's or master's degree, or equivalent experience, in computer science, engineering, or a related field.
  • At least 8 years of professional experience across software or hardware engineering, developer relations, technical partnerships, solutions architecture, or product management.
  • At least 3–5 years of hands-on experience with AI infrastructure, data center deployment, or large-scale AI/HPC systems.
  • Deep technical expertise in high-performance computing, AI/ML, data center infrastructure, rack-scale AI infrastructure, or large GPU systems.
  • A track record of driving product integrations and contributing to software and hardware platforms, systems, and libraries.
  • Ability to explain complex technical concepts clearly to technical and non-technical audiences.
  • Strong problem-solving skills, intellectual curiosity, and a commitment to customer success.
  • Experience with OEM, ODM, system integrator, or deployment partner ecosystems.
  • Familiarity with NVIDIA GPU, networking, and AI infrastructure platforms.
  • Experience working with services, field engineering, professional services, manufacturing partners, or deployment services teams.
  • Willingness to travel up to 50%.

लाभ

  • Equity compensation.
  • Benefits.

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