NVIDIA
Technology
SeniorAppliedAIEngineer
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Applied AI Engineer at NVIDIA. Skills: Applied AI, Infrastructure, Agentic tools. Design scalable infrastructure. Develop scalable infrastructure”
What You'll Achieve.
Improve productivity; Improve operational efficiency
Industry & Context.
What They're Looking For.
Must Have
MS or higher degree, 5+ years software engineering experience, shipping AI/LLM-powered applications, Python engineering skills, design, prototype, productionize AI-enabled services, building LLM-powered agents, hands-on use of coding agents, Solid software engineering fundamentals, production mindset, system design, API design, testing, CI/CD, code quality, observability, security, databases, containers, distributed systems, event-driven systems, identify repetitive workflows, turn workflows into AI tools, Demonstrated end-to-end ownership, architecture and development, deployment, integration, operations/support, Excellent communication skills, collaborative approach, proactive approach
Nice to Have
Experience with emerging integration patterns, MCP experience a plus, Skills framework experience a plus
What You'll Do.
Design scalable infrastructure
Develop scalable infrastructure
Improve scalable infrastructure
Drive improvements in architecture
Drive improvements in performance
Drive improvements in reliability
Collaborate across teams
Encourage best engineering practices
Encourage technical excellence
Stay informed of AI infrastructure advancements
Contribute to continuous innovation
How You'll Work.
Team & Collaboration
Researchers; Hardware teams; Software teams; Research teams
Communication Scope
Communication skills
Full Job Description
NVIDIA has been transforming accelerated computing with innovation that’s fueled by great technology—and amazing people. As part of Nvidia's applied AI team for chip design, you will have the opportunity to tap into the unlimited potential of AI and change the landscape of the chip industry. Our team operates at the intersection of research, engineering, and product development, transforming innovative ideas and research breakthroughs into real-world solutions. You will collaborate closely with researchers to design and scale agents - enabling them to reason, plan, call tools and code just like human engineers. You will work on building and maintaining the core infrastructure for deploying and running these agents in production, powering all our agentic tools and applications and ensuring their seamless and efficient performance. If you're passionate about the latest research and cutting-edge technologies shaping generative AI, this role and team offer an exciting opportunity to be at the forefront of innovation. **What you'll be doing:** * Design, develop, and improve scalable infrastructure to support the next generation of AI applications, including copilots and agentic tools. * Drive improvements in architecture, performance, and reliability, enabling teams to bring to bear LLMs and advanced agent frameworks at scale. * Collaborate across hardware, software, and research teams, mentoring and supporting peers while encouraging best engineering practices and a culture of technical excellence. * Stay informed of the latest advancements in AI infrastructure and contribute to continuous innovation across the organization. **What we need to see:** * MS or higher degree in Computer Science, Engineering, AI, or a related technical field, with 5+ years of hands-on software engineering experience building production-grade software systems, and demonstrated experience shipping AI/LLM-powered applications, agents, or automation workflows into real production environments. *
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