Senior Software Engineer, Platform Engineering
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
You apply on the employer's own site. Six Figure Work does not handle applications.
- 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!
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 listingSenior Software Engineer, Platform Engineering$168K to $322K
L11 System Product Development Engineer$168,000 to $258,750
Senior Software Engineer, Network Visibility Platform - DGX Cloud$168K to $322K
Hardware Validation Procedures and Documentation Lead$168,000 to $258,750
AI Engineering Manager - Finance$168K to $322K
Senior Technical Program Manager – DFX Software Methodology$168K to $322K
Senior FPGA Prototyping Platform Engineer$168,000 to $310,500
Chart as a table
| Role | Published 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 |
Observed changes
- First observed on the employer's board
- 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.
