Senior Systems Software Engineer - NV Cloud Functions
Company websitenvidia.com (NVIDIA, opens in new tab)
Base salary $152,000 to $287,500
Employer-published annual base salary, USD. Advertised base range in Santa Clara, CA +1 more
You apply on the employer's own site. Six Figure Work does not handle applications.
- LocationSanta Clara, CA +1 more
- WorkplaceWorkplace not stated
- Status at last checkSource accepting applications when checked
- Last checked (46 min ago) · observed since
All places named
- Santa Clara, CA
- Seattle, WA
About this job
NVIDIA Cloud Functions team is looking for a motivated, product-minded AI/ML Engineer with domain expertise in AI platform engineering at scale. Our team builds and operates a serverless deployment platform for enabling AI applications. Our product enables and scales AI inferencing workloads using globally distributed orchestration of workloads on GPU-backed cloud-agnostic Kubernetes clusters. You will be working with a team of passionate and skilled engineers that are continuously innovating at the speed of light to provide the best product possible, for both external customers and internal NVIDIA teams. We are looking for someone to join us at the forefront of defining cloud engineering paradigms for AI at scale.
What You'll be Doing:
Becoming a trusted subject matter expert by understanding user challenges and constraints. Translate this into product requirements and solutions, accelerating delivery of AI models and inference hosted on the NVCF platform.
Leading implementation of key features. Conducting user-acceptance testing, load testing and performance evaluations. Emphasis on customer experience, performance optimization and platform reliability.
Mentoring and embedding with other engineering teams building products on top of our platform on best practices for AI/ML workloads at scale with excellent performance, including ML reliability engineering at scale.
Producing reference architectures to guide customer use cases, applying the newest NVCF product features with the latest AI technologies.
Shepherding customer issues to resolution and providing timely warning of issues and risks.
Evaluating new and innovative technologies and tooling as the AI-at-scale landscape evolves to ensure we have a competitive product and forward-looking roadmap.
What We Need to See:
Masters, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Applied Math, or related field
At least 2 years work experience with Python, Rust, Golang, Linux or Bash.
Experience in Deep Learning and Machine Learning; expertise in using AI/DL frameworks and inferencing software such as SGLang, vLLM, TensorRT-LLM, or Dynamo.
Knowledge of CPU and GPU architecture.
Excellent interpersonal skills including ability to explain sophisticated technical topics to non-experts.
Experience in the design, implementation, and release of AI/ML products to market. A flexible technologist familiar with all aspects of the software development lifecycle.
Ways to stand out from the crowd:
Demonstrate a strong desire to share knowledge with clients, partners and co-workers, able to show this through previous work.
Demonstrate expertise through projects or Open Source contributions in HPC, Data Analytics, Machine Learning, Deep Learning, Cloud Native Projects, Kubernetes, Slurm, or enabling GPU workloads.
Show a willingness and ability to dig into unfamiliar territories to tackle complex problems through examples in previous work.
Prior experience in building distributed systems.
NVIDIA offers highly competitive salaries and a comprehensive benefits package. NVIDIA is widely considered to be one of the technology world’s most desirable employers. We have some of the most brilliant and talented people in the world working for us. Are you a creative engineer with a drive for advancing the state of AI and bringing it to the cloud? If you love to tackle problems and advocate for continuous, innovative improvement, 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:152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until November 3, 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 ($152,000) is above 28% of the 4,313 Software Engineering roles in California listed on this site; 86 others list the same floor. Their median floor is $176,100; the middle half runs from $149,100 to $203,000.
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 Systems Software Engineer - NV Cloud Functions$152,000 to $287,500
Senior Networking Architect$152,000 to $287,500
Solutions Architect, AI and ML$152,000 to $287,500
Infrastructure Solutions Architect - OEM$152,000 to $287,500
Senior Software Engineer, CUTLASS Performance$152,000 to $287,500
Senior Software Engineer - Distributed Systems Engineer, EDA Infrastructure$152,000 to $287,500
Senior Graphics Driver Engineer$152,000 to $241,500
Chart as a table
| Role | Published base |
|---|---|
| Senior Systems Software Engineer - NV Cloud Functions (this listing) | $152,000 - $287,500 |
| Senior Networking Architect | $152,000 - $287,500 |
| Solutions Architect, AI and ML | $152,000 - $287,500 |
| Infrastructure Solutions Architect - OEM | $152,000 - $287,500 |
| Senior Software Engineer, CUTLASS Performance | $152,000 - $287,500 |
| Senior Software Engineer - Distributed Systems Engineer, EDA Infrastructure | $152,000 - $287,500 |
| Senior Graphics Driver Engineer | $152,000 - $241,500 |
Observed changes
- First observed on the employer's board
- Began meeting the published-salary criteria
- Observed since
- Employer-stated posting date
- 2026-10-30
Where this pay comes from
Location as the employer wrote it: US, CA, Santa Clara • US, WA, Seattle (Levels 3-4 combined)
152,000 USD – 241,500 USD for Level 3; and 184,000 USD – 287,500 USD for Level 4.
- 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.