NVIDIA
NVIDIA
NVIDIA o‘yinlar, ma’lumotlar markazlari, bulutli hisoblash, sog‘liqni saqlash, ishlab chiqarish, avtomobilsozlik va robototexnika sohalarida qo‘llaniladigan tezlashtirilgan hisoblash hamda sun’iy intellekt texnologiyalarini ishlab chiqadi. Kompaniyaning faoliyati grafik protsessorlar, sun’iy intellekt platformalari, simulyatsiya va muayyan sohalarga mo‘ljallangan yechimlarni qamrab oladi. Bular qatoriga hamkorlikdagi 3D ish jarayonlari uchun NVIDIA Omniverse, avtonom transport vositalarini ishlab chiqish uchun NVIDIA DRIVE va sog‘liqni saqlash ilovalari uchun NVIDIA Clara kiradi. Kompaniya ilg‘or hisoblash, simulyatsiya va sun’iy intellekt asosidagi tahlilni qo‘llab-quvvatlaydigan infratuzilma hamda dasturiy ta’minot ustida ishlaydigan yirik texnik jamoalarni birlashtiradi.

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.

Tavsif

  • 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.

Talablar

  • 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%.

Imtiyozlar

  • Equity compensation.
  • Benefits.

O‘xshash ish o‘rinlari

Generation

Senior Business Development Lead, FE and Public Sector

Generation

Build FE college partnerships and secure public-sector funding for Generation, a charity helping people facing employment barriers access careers. The role combines partnership development, bid writing and funding pipeline management.

Ochish
SV Academy

Business Development Representative, SNHU Partnership

SV Academy
51 – 200 Xodimlar
Ta’limXodimlarni yollash

Complete SV Academy sales training, then spend 90 days prospecting for a partner company as a paid resident. Receive coaching and build toward a long-term technology sales role.

Ochish
Keywords Studios

SE II DevOps Developer Productivity Engineer

Keywords Studios

Improve Helpshift’s CI/CD systems, cloud infrastructure, Kubernetes platforms, and developer tools. Reduce engineering friction with scalable automation, better observability, and stronger reliability.

Ochish