Software Solutions Architect

Nvidia

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Quick summary

Work type
On-site
Location
Santa Clara, CA
Employment
Full-time
Posted
60 days ago
Freshness
Confirmed live today

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Similar $199k
$151k $263k
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About Nvidia

Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing

Nvidia currently has 1623 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1110 roles with salary data.

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At a glance

TL;DR · Software Solutions Architect

As a Software Solutions Architect, NVIS, you will join the NVIS team to lead the transformation of AI infrastructure by developing the next generation of NVIS Central. You will compose, build, and productionize agentic AI solutions, LLM-based agents, and tool-calling workflows to automate delivery organization tasks and improve execution visibility. Your daily work involves developing backend services, APIs, data pipelines, and automation features that reason across project data, logs, and knowledge bases. You will utilize Python, RESTful APIs, SQL, NoSQL, Docker, Kubernetes, and CI/CD to build reliable systems featuring retrieval-augmented generation, context management, and guardrails. This role solves the technical challenge of standardizing workflows and managing large-scale AI Factory infrastructure within advanced accelerated computing environments to improve readiness and simplify complex handoffs.

What you'll do

  • Compose, build, and productionize agentic AI solutions, tools, and applications for the NVIS delivery organization.
  • Develop LLM-based agents, tool-calling workflows, orchestration logic, backend services, APIs, and data pipelines.
  • Translate field, delivery, and product needs into clear technical builds and working software.
  • Build agents capable of reasoning across project data, knowledge bases, operational systems, and logs.
  • Create workflows to identify risks, summarize project status, and automate repetitive manual tasks.
  • Integrate LLMs and agents with internal systems, project data sources, and reporting tools.
  • Implement RAG, context management, agent memory, and AI safety guardrails to build reliable systems.
  • Contribute to engineering guidelines for code quality, testing, CI/CD, observability, and security.

What we're looking for

  • B.Sc. degree or equivalent experience in Computer Science, Computer Engineering, or a related technical field.
  • 5+ years of hands-on software development experience building production applications, platforms, automation tools, or AI-based systems.
  • Strong programming experience with Python and modern backend development.
  • Hands-on experience with LLMs, agentic workflows, tool/function calling, RAG, and AI application development.
  • Experience crafting and implementing RESTful APIs, data services, workflow automation, and enterprise system integrations.
  • Experience building reliable software around non-deterministic AI systems, including testing, evaluation, monitoring, and failure handling.
  • Experience with Docker, Kubernetes, CI/CD, Git, observability, and cloud-native development practices.
  • Background with SQL and NoSQL databases, data modeling, querying, indexing, and data integration.

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