Senior Solutions Architect, Agent Infrastructure and Security

🔥 35 minutes ago

🏄 California – Remote

🏄 California – Remote

💵 $184k - $356.5k / year

⏰ Full Time

🟠 Senior

💻 Solutions Engineer

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NVIDIA

WebsiteLinkedInAll Job Openings

10,000+ employees

Founded 1993

🏥 Healthcare

🏭 Manufacturing

🤖 Artificial Intelligence

Healthcare • Manufacturing • Artificial Intelligence

NVIDIA is a leading technology company specializing in accelerated computing and artificial intelligence. NVIDIA pioneers advancements in graphical processing units (GPUs), cloud computing, data centers, and virtual reality, with a focus on gaming, automotive, healthcare, and robotics industries. The company's innovations, such as NVIDIA Omniverse, transform traditional digital processes by enabling high-fidelity simulations and rendering tasks. Their applications span various industries, from autonomous vehicles using NVIDIA DRIVE to healthcare solutions with NVIDIA Clara, and AI-driven analytics and workflows.

📋 Description

• Serve as a trusted advisor who understands complex or large-scale workloads and maps them to NVIDIA’s technology stack to achieve measurable outcomes. • Co-design advanced, scalable architectures with customers and partners, defining technical direction, integration achievements, and deployment plans. • Design, validate, and support solutions through hands-on engagement with deep technical topics. • Lead technical engagements, help customers and partners resolve sophisticated issues, and advocate for their technical needs. • Partner with engineering and product teams to ensure successful deployment and continuous improvement of NVIDIA solutions. • Drive technical engagements for agentic AI workloads from initial architecture review through production hardening. • Own the security and infrastructure narrative for agentic AI deployments, including sandboxing, policy enforcement, credential management, and network isolation. • Build and demonstrate reference architectures for secure, scalable agentic AI infrastructure on Kubernetes.

🎯 Requirements

• Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field. • 8+ years of professional experience in industry backgrounds spanning software/hardware engineering, developer relations, technical partnerships, solutions architecture, or product management. • 3-5+ years of direct, hands-on experience in AI security. • Deep technical expertise in agentic AI and security, with a track record of driving product integrations and contributing to software or hardware platforms, systems, and libraries. • Ability to communicate sophisticated technical ideas clearly to technical and non-technical audiences, from engineers to C-level executives. • Strong problem-solving skills, intellectual curiosity, and dedication to helping customers succeed. • Proven success balancing customer and partner needs with driving complex product decisions through positive relationships. • Solid grounding in enterprise security fundamentals: identity, authz, network security, secrets management, and threat modeling. • Secure networking depth in mTLS, PKI, service mesh, and egress proxy patterns. • Background in formal methods, policy verification, or OCSF / structured security-event frameworks.

🏖️ Benefits

• Equity • Benefits

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