NVIDIA pioneers computer graphics, gaming, AI, and accelerated computing. We are looking for a Senior Solution Architect with full-stack software engineering experience to join our team and play an important role in developing Sales AI applications. This position offers the opportunity to design, build, and evolve solutions that bring generative AI and intelligent workflows into everyday sales experiences.
You will work across the application stack and collaborate with Product, AI and machine learning, Data, Security, Solution Architecture, and Engineering teams to deliver secure, reliable, and scalable solutions used globally.
What you’ll be doing:
Collaborate with application teams to design, develop, and maintain scalable full-stack solutions for enterprise sales workflows.
Guide technical solutions across front-end, back-end, APIs, data services, integrations, and cloud infrastructure.
Translate product requirements and business needs into secure, maintainable solutions and intuitive user experiences.
Integrate generative AI models, AI services, APIs, retrieval systems, and agentic workflows into production applications.
Design application architectures that support performance, availability, observability, security, scalability, and long-term maintainability.
Lead technical design discussions, compare implementation approaches, make informed architecture decisions, and evaluate emerging technologies.
Improve engineering practices for testing, code quality, continuous integration and delivery, monitoring, documentation, and production readiness. Investigate complex issues and develop solutions that improve reliability and user experience.
Mentor engineers, share technical knowledge, and contribute to engineering standards and collaborative team practices.
What we need to see:
A bachelor’s degree or equivalent experience in Computer Science, Engineering, or a related technical field is encouraged.
10+ years of professional software engineering experience, including building and operating production applications.
Experience developing full-stack applications with modern front-end, back-end, and web application technologies.
Proficiency in one or more languages or frameworks, such as Python, Java, JavaScript, React, Node.js, or similar technologies.
Experience designing APIs, distributed applications, data services, enterprise integrations, scalable cloud applications, databases, and messaging systems.
Experience integrating AI or machine learning capabilities through APIs, models, retrieval systems, or AI services.
Knowledge of software architecture, system design, security, testing, observability, and production operations.
Ability to lead technical initiatives, make informed engineering decisions, communicate with technical and non-technical teams, and mentor engineers.
Ways to stand out from the crowd:
Experience building generative AI applications, including AI assistants, retrieval-augmented generation, agentic workflows, AI productivity tools, Python-based AI services, large language model APIs, vector databases, prompt engineering, or AI evaluation.
Experience combining traditional software systems with AI models and data pipelines and progressing AI capabilities from prototype through production.
Familiarity with responsible AI, data privacy, access controls, security, or enterprise AI governance.
Experience with Kubernetes, containers, microservices, infrastructure as code, DevOps practices, application performance, reliability, scalability, observability, cloud cost efficiency, or globally distributed engineering teams.
NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us. If you’re creative, eager to tackle meaningful business problems, and enjoy having fun, NVIDIA is the perfect company to work for.
Skills Required
- Bachelor's degree or equivalent experience in Computer Science, Engineering, or a related technical field
- 10+ years of professional software engineering experience, including building and operating production applications
- Experience developing full-stack applications with modern front-end, back-end, and web application technologies
- Proficiency in one or more languages or frameworks such as Python, Java, JavaScript, React, or Node.js
- Experience designing APIs, distributed applications, data services, enterprise integrations, scalable cloud applications, databases, and messaging systems
- Experience integrating AI or machine learning capabilities through APIs, models, retrieval systems, or AI services
- Knowledge of software architecture, system design, security, testing, observability, and production operations
- Ability to lead technical initiatives, make informed engineering decisions, communicate with technical and non-technical teams, and mentor engineers
- Experience building generative AI applications, including AI assistants, retrieval-augmented generation, agentic workflows, AI productivity tools, Python-based AI services, large language model APIs, vector databases, prompt engineering, or AI evaluation
- Experience combining traditional software systems with AI models and data pipelines and progressing AI capabilities from prototype through production
- Familiarity with responsible AI, data privacy, access controls, security, or enterprise AI governance
- Experience with Kubernetes, containers, microservices, infrastructure as code, DevOps practices, application performance, reliability, scalability, observability, cloud cost efficiency, or globally distributed engineering teams
NVIDIA Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about NVIDIA and has not been reviewed or approved by NVIDIA.
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Equity Value & Accessibility — Equity awards and a discounted ESPP are highlighted as core parts of total compensation, enabling employees to share in the company’s success. Stock-based compensation and the two-year lookback ESPP are consistently described as especially valuable.
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Healthcare Strength — Health coverage is portrayed as robust, with comprehensive medical, dental, and vision options alongside mental health support and on-site care resources. Employer HSA contributions and wellness perks reinforce the depth of the offering.
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Retirement Support — Retirement programs are depicted as strong, featuring a meaningful 401(k) match with Roth options and support for Mega Backdoor Roth contributions. These elements position long-term savings as a notable advantage of the total rewards package.
NVIDIA Insights
What We Do
NVIDIA’s invention of the GPU in 1999 sparked the growth of the PC gaming market, redefined modern computer graphics, and revolutionized parallel computing. More recently, GPU deep learning ignited modern AI — the next era of computing — with the GPU acting as the brain of computers, robots, and self-driving cars that can perceive and understand the world. Today, NVIDIA is increasingly known as “the AI computing company.”
