# Solutions Architect

**Company**: NVIDIA
**Location**: Santa Clara, CA
**Experience**: senior
**Job type**: full-time
**Salary**: 152,000 USD – 241,500 USD
**Category**: Engineering
**Industry**: Technology

**Apply**: https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Solutions-Architect--Agent-Security_JR2029403?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/job/solutions-architect-5d6b0fbc-915/

## Description

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.

## 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.

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## Skills

### Required
- agentic AI
- AI safety and security
- software/hardware engineering
- solutions architecture
- Kubernetes
- Linux security primitives
- policy-as-code systems

### Nice to have
- Rust
- agent frameworks (LangGraph, MCP, Hermes, Harbor, etc.)
- tool use
- eval
- observability patterns

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Source: [Apply at nvidia.wd5.myworkdayjobs.com](https://nvidia.wd5.myworkdayjobs.com/en-US/NVIDIAExternalCareerSite/job/US-CA-Santa-Clara/Solutions-Architect--Agent-Security_JR2029403?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)