Job description

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. Come join the team and see how you can make a lasting impact on the world. NVIDIA is looking to hire a deeply technical, creative, and hands-on Senior full-stack developer to build the next generation AI platforms and products that improve business efficiency and productivity. This engineer is expected to be familiar with concepts of RAG, agentic AI to be able to build AI products using SOTA agentic paradigms, third party platforms and open-source repos. As a key leader in our technology team, you will play a pivotal role in shaping the architecture, development, and scaling of our software systems. This role will give an opportunity to collaborate with Cloud, AI/ML & Generative AI workforce in a multifaceted and agile working environment, while meeting the immediate and evolving needs of our business. What You Will Be Doing: • Collaborate with cross-functional teams to deliver end-to-end intelligent experiences across applications • Ensure reliability, safety, and performance of autonomous systems operating at scale • Integrate agents with enterprise data sources, APIs, and internal microservices to enable real-world actions • Architect and build agentic AI systems that leverage LLMs for reasoning, planning, and tool orchestration across enterprise workflows. Design and implement multi-agent frameworks enabling coordination, delegation, and dynamic task execution • Develop scalable platforms for retrieval-augmented generation (RAG), long-term memory, and contextual reasoning. Build reusable infrastructure for agent orchestration, tool integration, evaluation, and observability • Establish best practices for agent evaluation, guardrails, and human-in-the-loop workflows • Mentor engineers and provide technical leadership in designing complex distributed AI systems • Stay at the forefront of advancements in LLMs, agent frameworks, tool use, reasoning architectures, and open-source ecosystems What We Need to See: • Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience). 12+ years of experience building large-scale distributed systems and cloud-native applications (Python preferred). • Strong programming skills across multiple languages and modern software stacks • Hands-on experience with test automation, production testing, and automation frameworks. • Solid understanding of Linux, embedded systems, firmware, and hardware/software integration • Deep knowledge of IT Service Management (ITSM) and ServiceNow (HR, Security, Finance modules preferred) • Strong experience designing and deploying LLM-powered systems, including RAG, tool use, and agent-based architectures • Deep understanding of agentic AI paradigms (planning, memory, tool invocation, multi-step reasoning). Experience with agent frameworks and orchestration tools (e.g., LangChain or similar) • Proven ability to design systems with high reliability, scalability, and performance • Hands-on experience deploying applications in Kubernetes environments. Experience building systems in cloud and hybrid environments • Proven track record leading complex technical initiatives and mentoring high-performing teams. Excellent problem-solving, communication, and system design skills NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most forward-thinking and passionate people on the planet working for us. If you're creative and autonomous, we want to hear from you! Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 200,000 USD - 322,000 USD. You will also be eligible for equity and benefits . Applications for this job will be accepted at least until August 21, 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.

Requirements

Must-haves

Collaborate with cross-functional teams to deliver end-to-end intelligent experiences across applications
Ensure reliability, safety, and performance of autonomous systems operating at scale
Integrate agents with enterprise data sources, APIs, and internal microservices to enable real-world actions
Develop scalable platforms for retrieval-augmented generation (RAG), long-term memory, and contextual reasoning. Build reusable infrastructure for agent orchestration, tool integration, evaluation, and observability
Establish best practices for agent evaluation, guardrails, and human-in-the-loop workflows
Mentor engineers and provide technical leadership in designing complex distributed AI systems
Stay at the forefront of advancements in LLMs, agent frameworks, tool use, reasoning architectures, and open-source ecosystems
Strong programming skills across multiple languages and modern software stacks
Hands-on experience with test automation, production testing, and automation frameworks.
Solid understanding of Linux, embedded systems, firmware, and hardware/software integration
Strong experience designing and deploying LLM-powered systems, including RAG, tool use, and agent-based architectures
Deep understanding of agentic AI paradigms (planning, memory, tool invocation, multi-step reasoning). Experience with agent frameworks and orchestration tools (e.g., LangChain or similar)
Proven ability to design systems with high reliability, scalability, and performance
Hands-on experience deploying applications in Kubernetes environments. Experience building systems in cloud and hybrid environments
Proven track record leading complex technical initiatives and mentoring high-performing teams. Excellent problem-solving, communication, and system design skills
You will also be eligible for equity and benefits .
Applications for this job will be accepted at least until August 21, 2026.
This posting is for an existing vacancy.
NVIDIA uses AI tools in its recruiting processes.

Nice-to-haves

Deep knowledge of IT Service Management (ITSM) and ServiceNow (HR, Security, Finance modules preferred)

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimlagilepythonllmdesign systemskubernetes

Platform: eightfold
Effort: medium

Benefits

Benefits detected in the listing.

Vision