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NVIDIA
NVIDIA
H1B Visa SponsorArtificial IntelligenceHealthcareManufacturing
NVIDIA develops accelerated computing and artificial intelligence technologies used across gaming, data centers, cloud computing, healthcare, manufacturing, automotive, and robotics. Its work spans graphics processing units, AI platforms, simulation, and industry-focused solutions, including NVIDIA Omniverse for collaborative 3D workflows, NVIDIA DRIVE for autonomous vehicle development, and NVIDIA Clara for healthcare applications. The company brings together large technical teams working on the infrastructure and software that support advanced computing, simulation, and AI-driven analytics.
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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.

USUnited StatesCACaliforniaTXTexas
$184,000 – $287,500 / year
RemoteFull-timeSeniorEnglish RequiredSolutions Engineer
Cyber SecurityDistributed SystemsLinuxPythonPyTorchTensorflow

Description

  • 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

Requirements

  • 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

Benefits

  • Competitive compensation
  • Comprehensive benefits package
  • Equity participation

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