Solutions Architect, Agent Security
Nvidia
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Questions you are likely to be asked
- Why do you want to join Nvidia?
- What is your experience with Kubernetes? Tell me one thing you learned the hard way.
- How do you decide what to monitor, and what should wake someone up at night?
- How would you cut the cloud bill of a system without hurting it?
- How do you keep secrets and access safe in your infrastructure?
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Practise the Solutions Architect, Agent Security at Nvidia interview free →We’re hiring a Solutions Architect to join the Agentic AI team. In this role, you’ll support customer-facing technical engagements and help connect real-world workloads to NVIDIA’s hardware and software ecosystem. We’re looking for someone who is technically curious, eager to develop deep expertise in NVIDIA platforms, and excited to grow into a trusted technical resource for customers and partners. If you’re passionate about applied technology and want to learn from some of the best engineers in the world, we’d love to hear from you. What You’ll Be Doing: Support technical engagements with customers and partners, helping to understand their workloads and identify how NVIDIA’s technology stack can address their needs, under the mentorship of senior team members. Participate in the design and validation of scalable architectures, assisting in the development of integration plans and deployment approaches for customer and partner solutions. Engage hands-on with technical topics—building, testing, and validating solutions that help customers and partners get started with and scale NVIDIA technologies. Help document and communicate partner needs and technical feedback, supporting the relay of field insights to internal product and engineering teams. Collaborate with engineering and product teams to understand NVIDIA’s solutions and support successful customer deployments. Drive technical engagements with customers and partners deploying agentic AI workloads — from initial architecture review through production hardening Own the security and infrastructure narrative for agentic AI deployments — sandboxing, policy enforcement, credential management, network isolation Build and demonstrate reference architectures for secure, scalable agentic AI infrastructure on Kubernetes What We Need to See: Bachelor's or Master's degree or equivalent experience in Computer Science, Engineering, or a related field. 3+ years of professional experience in software/hardware engineering, developer relations, technical partnerships, solutions architecture, or a related technical field — with some hands-on exposure to AI safety and security. Foundational technical knowledge in agentic AI with a proven curiosity about building expertise and contributing to technical solutions. Ability to communicate technical concepts clearly to both technical and non-technical audiences, with a desire to grow this skill across more complex topics and senior collaborator levels. Strong problem-solving skills, intellectual curiosity, and a genuine passion for aiding customers and partners succeed with technology. Proven ability to form relationships with customers and partners, with a curiosity about developing the technical credibility and trust needed to support complex product decisions. Production experience designing, deploying, or operating agentic AI systems — agent frameworks (LangGraph, MCP, Hermes, Harbor, etc.), tool use, eval, and observability patterns Ways to Stand Out from the Crowd: A hands-on technical problem solver who can clearly articulate how technology works and apply that understanding to real customer challenges. Early experience supporting customers and partners in adopting new technologies or platforms, with a passion for enabling others to succeed. Hands-on experience with Linux security primitives (namespaces, seccomp, LSMs like Landlock) and policy-as-code systems (OPA/Rego, Cedar, Sentinel) Rust experience — reading, reviewing, or writing production code Your base salary will be determined based on your location, experience, and other objective job-related factors. The expected base salary range for this position is 152,000 USD – 241,500 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until November 14, 2026. This posting is for an existing vacancy. NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.
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Listed on workday · posted 2026-11-10. ApplySarthi collects openings and links to application pages; the role is advertised by Nvidia, not by us.