NVIDIA
NVIDIA
NVIDIA dezvoltă tehnologii de calcul accelerat și inteligență artificială utilizate în domenii precum jocurile video, centrele de date, cloud computing, asistența medicală, producția, industria auto și robotica. Activitatea companiei acoperă unități de procesare grafică, platforme de inteligență artificială, simulare și soluții dedicate anumitor industrii, inclusiv NVIDIA Omniverse pentru fluxuri de lucru colaborative 3D, NVIDIA DRIVE pentru dezvoltarea vehiculelor autonome și NVIDIA Clara pentru aplicații medicale. Compania reunește echipe tehnice numeroase care lucrează la infrastructura și software-ul ce susțin calculul avansat, simularea și analiza bazată pe inteligență artificială.

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.

Descriere

  • 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

Cerințe

  • 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

Beneficii

  • Competitive compensation
  • Comprehensive benefits package
  • Equity participation

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