Six Figure Work

Senior Software Engineer, Platform Engineering

NVIDIA

Company websitenvidia.com (NVIDIA, opens in new tab)

Base salary $168K  to $322K

Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA

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  • LocationSanta Clara, CA
  • WorkplaceWorkplace not stated
  • Status at last checkSource accepting applications when checked
  • Last checked (1 h ago) · observed since

About this job

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 other objective job-related factors. The expected base salary ranges for this position are:
    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 November 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.

    Source: NVIDIA on Workday · View original posting (opens in new tab)

    Pay in context

    This role's base floor ($168,000) is above 44% of the 4,300 Software Engineering roles in California listed on this site; 26 others list the same floor. Their median floor is $176,100; the middle half runs from $149,100 to $204,000.

    Only jobs on this site count, and each one publishes a base salary of $100,000 or more, so this compares six-figure jobs with each other, not with the whole market. Computed Nov 6, 2026.

    This range next to 6 other live NVIDIA roles with the nearest advertised base floor
    Chart as a table
    This range next to 6 other live NVIDIA roles with the nearest advertised base floor
    RolePublished base
    Senior Software Engineer, Platform Engineering (this listing)$168K - $322K
    L11 System Product Development Engineer$168,000 - $258,750
    Senior Software Engineer, Network Visibility Platform - DGX Cloud$168K - $322K
    Hardware Validation Procedures and Documentation Lead$168,000 - $258,750
    AI Engineering Manager - Finance$168K - $322K
    Senior Technical Program Manager – DFX Software Methodology$168K - $322K
    Senior FPGA Prototyping Platform Engineer$168,000 - $310,500

    Same $100K to $400K scale as every card. All NVIDIA roles · How to read the bar

    Observed changes

    1. First observed on the employer's board
    2. Began meeting the published-salary criteria
    Observed since
    Employer-stated posting date
    2026-11-05
    Where this pay comes from

    Location as the employer wrote it: US, CA, Santa Clara (Levels 4-5 combined)

    168,000 USD – 270,250 USD for Level 4; and 200,000 USD – 322,000 USD for Level 5.

    Method
    Employer text, read with fixed rules and re-verified
    Checked
    Rule set
    us-base-v2

    The pay passage appears in the employer's own job text. Fixed, deterministic rules located it, and the passage below was checked against the stored copy of the posting.

    What we verified

    • The pay figures come from the employer's own listing, quoted exactly above.
    • The pay is an annual base salary in US dollars with a minimum of at least $100,000.
    • The role was publicly listed on the employer's job board when last checked.

    We do not verify what the employer will actually offer, whether the employer is still recruiting for the role, or anything beyond what the employer published. Full methodology.