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AI Job Summary

Build large-scale AI platforms and agentic systems that integrate LLMs with enterprise data and workflows. You'll architect RAG systems, agent orchestration infrastructure, and scalable cloud-native applications using Python and Kubernetes. Requires 8+ years building distributed systems, deep experience with LLM-powered architectures, and proven leadership on complex technical initiatives. Base salary $168,000–$270,250 (Level 4) or $200,000–$322,000 (Level 5).

Written from this posting by Neural Jobs AI. The full description is below.

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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 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!

    Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 168,000 USD - 270,250 USD for Level 4, and 200,000 USD - 322,000 USD for Level 5.

    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.

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    • Role Senior Software Engineer, Platform Engineering
    • Experience 5-7 years
    • Education Bachelor Degree, or equivalent experience
    • Work type On-site
    • Location United States
    Check my match (free)
    NVIDIA
    Hardware & Semiconductors · 200-500 Members · Santa Clara, CA, United States

    NVIDIA builds the GPUs and the CUDA software stack that most modern AI is trained and served on, along with its own research in graphics, robotics and foundation models.

    Job Overview

    Approx. salary range

    200K – 296K

    Our estimate — this employer did not publish a salary

    Our estimate, not the employer’s. Worked out from the middle half of 66 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.

    Eligibility
    United States Right to work in the United States required.
    Workplace
    On-site
    Job Posted:
    4 days ago
    Job Type
    Full Time
    Education
    Bachelor Degree, or equivalent experience
    Experience
    5-7 years

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