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 Solutions Architect, Agentic AI Safety and Security — NVIDIA (Remote)

Lead secure agentic AI initiatives for NVIDIA’s enterprise software partners, from initial architecture through production deployment. The role covers confidential computing, security controls, partner integrations, and scalable AI system design.

Tavsif

  • Guide strategic agentic AI partner engagements from discovery and architecture through proof of concept, production readiness, rollout, and scale
  • Design enterprise agentic AI systems using multi-agent workflows, tool-enabled agents, RAG, planning, memory, evaluation, guardrails, policy enforcement, and failure containment
  • Work with security ISVs to embed NVIDIA models into detection and response products
  • Design secure, confidential AI deployments involving NVIDIA Confidential Computing, GPU attestation, KMS integration, protected infrastructure, air-gapped architectures, and partner key-management processes
  • Develop proofs of concept, benchmarks, reference architectures, reusable blueprints, field guidance, and product feedback that help secure AI systems reach production
  • Support improvements to NVIDIA’s factory planning function

Talablar

  • Bachelor’s, master’s, or doctoral degree in Computer Science, Electrical Engineering, AI/ML, or equivalent professional experience
  • At least 8 years of experience in engineering, solutions architecture, applied machine learning, enterprise software, or technical deployment
  • Track record of taking AI, machine learning, distributed systems, or enterprise software projects from prototype to production
  • Practical experience developing LLM, generative AI, RAG, or agentic AI applications for production or production-like environments
  • Expertise in AI and LLM security, enterprise cybersecurity, trust and safety, confidential computing, secure AI infrastructure, model customization, post-training, or model evaluation
  • Advanced proficiency with Python and Linux
  • Experience using PyTorch, TensorFlow, or comparable machine learning frameworks
  • Working knowledge of prompt injection, jailbreaks, tool-based data exfiltration, unsafe tool invocation, and model or skill supply-chain threats
  • Experience with NVIDIA AI software, LLM red teaming, AI safety evaluation, adversarial testing, prompt-injection defenses, policy enforcement, secure agent execution, confidential computing, or related technologies is beneficial

Imtiyozlar

  • Competitive compensation
  • Comprehensive benefits package
  • Equity participation

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