NVIDIASenior Software Engineer, Platform Engineering
NVIDIA is hiring a Senior Software Engineer, Platform Engineering in Santa Clara, United States. It pays $168k-$270k a year and Level rates it ; you can apply on Level.
AI in this role
Build next-generation agentic AI platforms and RAG systems focusing on enterprise workflow automation and intelligent experiences.
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 Software Engineer 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:
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)
Collaborate with cross-functional teams to deliver end-to-end intelligent experiences across applications
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
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
What We Need to See:
Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (or equivalent experience)
8+ years of experience building large-scale distributed systems and cloud-native applications (Python 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
Strong programming skills across multiple languages and modern software stacks
Proven track record leading complex technical initiatives and mentoring high-performing teams
Ways to stand out from the crowd:
Experience enhancing enterprise efficiency and employee experience through the effective use of Generative AI based solutions.
Fascinated by unique and difficult problems - resilient and persistent in the pursuit of solutions.
Experience with Cloud Platforms, experience with Kubernetes and Docker.
Self-motivation and a drive to get things to “done”.
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!
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until October 9, 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.How we rate this
Senior Software Engineer, Platform Engineering at NVIDIA rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Tell me about a project where agentic ai was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Tell me about a project where full stack was part of your work. What did you do?
- Tell me about a project where system architecture was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: RAG, Agentic AI, Distributed Systems, Full Stack, and System Architecture. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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