NVIDIA

NVIDIA

Posted via Workday

Software Solutions Architect, NVIS

Apply by Sep 25, 2026

Posted Aug 25, 2026

Role at a glance

Salary
$152K – $287.5K/yr
Location
Remote - US - North Carolina
Work arrangement
Remote
Employment
Full-time
Experience
5+ years of hands-on software development experience
Education
B.Sc. degree or equivalent experience in Computer Science, Computer Engineering, or a related technical field.

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Role Summary

AI-generated

The Software Solution Architect, NVIS, develops the next generation of NVIS Central, an agentic software platform with tools, services, and AI agents for the NVIS delivery organization. The role builds LLM-powered solutions that improve execution visibility, reduce manual tasks, standardize workflows, and support large-scale AI Factory infrastructure delivery.

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, data pipelines, and automation features...
  • Translate field, delivery, operations, and product needs into technical builds, agent workflows, and working software.
  • Build workflows that identify risks, summarize project status, automate repetitive tasks, improve readiness visibility, and simplify...
  • Integrate LLMs and agents with internal systems, project data sources, knowledge repositories, reporting tools, and operational workflows.
  • Contribute to engineering guidelines covering code quality, testing, CI/CD, observability, documentation, security, and production support.

Generated from the employer's posting. Verify important details before applying.

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Qualifications

B.Sc. degree or equivalent experience in Computer Science, Computer Engineering, or a related technical field; 5+ years of hands-on software development experience. Strong Python and modern backend development experience, LLM and agentic workflow experience, RESTful APIs, data services, workflow automation, enterprise integrations, reliable software practices for non-deterministic AI systems, Docker, Kubernetes, CI/CD, Git, observability, cloud-native development, SQL and NoSQL databases, and data integration.

Required

  • B.Sc. degree or equivalent experience in Computer Science, Computer Engineering, or a related technical field
  • 5+ years of hands-on software development experience
  • Python and modern backend development
  • LLMs, agentic workflows, tool/function calling, RAG, and AI application development
  • RESTful APIs, data services, workflow automation, and enterprise system integrations
  • Testing, evaluation, monitoring, and failure handling for non-deterministic AI systems
  • Docker, Kubernetes, CI/CD, Git, observability, and cloud-native development practices
  • SQL and NoSQL databases, data modeling, querying, indexing, and data integration

Preferred

  • Agent platforms, copilots, multi-agent systems, tool-calling workflows, evaluation frameworks, or MCP-style integrations
  • Context engineering, retrieval quality, timely/version management, agent planning, human-in-the-loop workflows, and AI safety guardrails
  • AI infrastructure, HPC clusters, NVIDIA DGX systems, SuperPOD, Spectrum-X, Ethernet, InfiniBand, Kubernetes, or SLURM
  • Automating workflows related to field, delivery, operations, or professional services
  • Linux, networking, security, SRE, or distributed systems

Original job description

Content provided by the employer

As a Software Solution Architect, NVIS at NVIDIA, you will lead the transformation of AI infrastructure. Our NVIS team focuses on developing the next generation of NVIS Central, an agentic software platform with tools, services, and AI agents that automate, simplify, and speed up the work of our delivery organization. This role offers an outstanding chance to create and build LLM-powered agents that improve execution visibility, cut down manual tasks, and standardize workflows. These efforts allow NVIS to grow quickly and with high quality. Join us to bring up, validate, optimize, and upgrade large-scale AI Factory infrastructure for some of the world’s most advanced accelerated computing environments!

What you'll be doing (required):

  • Compose, build, and productionize agentic AI solutions, tools, and applications for the NVIS delivery organization.
  • Develop LLM-based agents, skills, tool-calling workflows, orchestration logic, backend services, APIs, data pipelines, and automation features as part of NVIS Central.
  • Translate field, delivery, operations, and product needs into clear technical builds, agent workflows, and working software.
  • Develop agents that can reason across project data, knowledge bases, operational systems, logs, reports, and delivery workflows.
  • Build workflows that help NVIS teams identify risks, summarize project status, automate repetitive tasks, improve readiness visibility, and simplify handoffs.
  • Work with timely engineering, retrieval-augmented generation, context management, agent memory, function calling, evaluations, and guardrails to build reliable AI systems.
  • Integrate LLMs and agents with internal systems, project data sources, knowledge repositories, reporting tools, and operational workflows.
  • Collaborate closely with software developers, architects, product managers, DevOps/SRE, and NVIS field teams to successfully implement reliable and scalable solutions.
  • Contribute to engineering guidelines, including code quality, testing, CI/CD, observability, documentation, security, and production support.

What we need to see (required):

  • 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 working with LLMs, agentic workflows, timely composition, tool/function calling, RAG, and AI application development.
  • Experience crafting and implementing RESTful APIs, data services, workflow automation, and integrations with enterprise systems.
  • 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.
  • Excellent problem-solving skills, ownership attitude, and ability to operate in a fast paced, cross-functional environment.

Ways to stand out from the crowd (optional):

  • Experience building agent platforms, copilots, multi-agent systems, tool-calling workflows, evaluation frameworks, or MCP-style integrations.
  • Deep understanding of LLM application patterns such as context engineering, retrieval quality, timely/version management, agent planning, human-in-the-loop workflows, and AI safety guardrails.
  • Experience with AI infrastructure, HPC clusters, NVIDIA DGX systems, SuperPOD, Spectrum-X, Ethernet, InfiniBand, Kubernetes, or SLURM.
  • Experience in automating workflows related to field, delivery, operations, or professional services.
  • Strong Linux, networking, security, SRE, or distributed systems background.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until August 28, 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.

NVIDIA

About the company

NVIDIA

Large Enterprise

NVIDIA is a leading technology company renowned for its graphics processing units (GPUs) and innovative computing solutions that enhance visual experiences across multiple platforms, including gaming, scientific research, and artificial intelligence. Founded in 1993, the company has expanded its offerings to include powerful AI frameworks and deep learning platforms, making significant contributions to industries such as gaming, data centers, automotive, and healthcare. NVIDIA's commitment to pushing the boundaries of visual computing continues to drive advancements in both hardware and software, positioning the company at the forefront of emerging technologies and digital transformation.