The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. As a Solutions Architect, you will serve as a key technical expert bridging NVIDIA’s ground breaking GPU and NVLink technology designs as well as all of our software solutions directly between engineering and field teams supporting customers with the most demanding requirements.
Santa Clara, CA30+ days ago
p>What you'll be doing: Define and drive full-stack enterprise AI factory baseline architectures across compute, networking, storage, virtualization, orchestration, security, observability, and NVIDIA AI software to deliver on-prem cloud native-platform and cluster reference builds. This role sits at the intersection of product strategy, system architecture, customer requirements, and hands-on infrastructure validation, helping turn NVIDIA accelerated computing, networking, storage, and AI software into repeatable blueprints that enterprises and partners can deploy with confidence.
Us, California30+ days ago
The base salary range is 184,000 USD - 287,500 USD for Level 4, and 224,000 USD - 356,500 USD for Level 5. You will also be eligible for equity and benefits. In this role, you will be at the forefront of assisting with designs and architectures for next-generation networking solutions that connect thousands of GPUs and enable the world’s most advanced AI supercomputers and enterprise AI infrastructure in the field.
ul>Enterprise Infrastructure & Multi-Cloud Strategy: Lead the end-to-end architecture of scalable, secure, and high-performing DevOps and Platform Engineering solutions across multi-cloud environments (AWS, Azure, and GCP), as well as specialized infrastructures like VMC on AWS (VMware Cloud) and GovCloud.
Escalation & Stakeholder Management: Effectively handle high-stakes client engagements and manage critical operational escalations, seamlessly translating complex technical resolutions into clear strategies for both engineering groups and executive leaders.
p>The ideal candidate brings deep hands-on expertise alongside the strategic mindset to define long-term infrastructure direction, bridging development, operations, security, and product teams to deliver software reliably and at scale. Practical understanding of AI/ML as applied to DevOps - including AI-assisted coding tools (GitHub Copilot, Amazon CodeWhisperer), AIOps platforms for anomaly detection, and LLM-powered automation for incident triage and runbook generation.
Santa Clara, CA9 days ago
Responsibilities include threat modeling, access-path analysis, security architecture, and cross-functional execution support, and require strong technical depth, problem-solving ability, and communication skills. - Relevant work experience focused on computer architecture and security, with a strong understanding of the factors influencing register and firmware access protections at chip, system, and product levels.
p>About the team The Enterprise Architecture team at Kinaxis shapes the long‑term technical direction of our enterprise platforms, ensuring our technology ecosystem remains scalable, secure, and aligned with our strategic goals. We work across Corporate IT and business teams to set architectural guardrails, provide solution guidance, and steward the health of critical platforms such as Salesforce, ServiceNow, NetSuite, and others.