$152,000 - $287,500 USD yearly
Originally posted 9 September 2026 by the employer.
The NVIDIA Cloud Functions team builds and operates a serverless deployment platform for enabling AI applications.
About the role
This role is for a motivated AI/ML Engineer with expertise in AI platform engineering at scale, joining the NVIDIA Cloud Functions team to build and operate a serverless deployment platform for AI applications. The product enables and scales AI inferencing workloads using globally distributed orchestration of workloads on GPU-backed cloud-agnostic Kubernetes clusters.
What you'll do
- Lead implementation of key features, conducting user-acceptance testing, load testing, and performance evaluations with emphasis on customer experience, performance optimization, and platform reliability.
- Mentor and embed with engineering teams building products on the platform, guiding best practices for AI/ML workloads at scale, including ML reliability engineering.
- Produce reference architectures for customer use cases, applying NVCF product features with AI technologies.
- Shepherd customer issues to resolution and provide timely warnings of issues and risks.
- Evaluate new technologies and tooling as the AI-at-scale landscape evolves to ensure a competitive product and forward-looking roadmap.
What you'll need
- Master's, 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.
- Experience in the design, implementation, and release of AI/ML products to market.
Skills: AI models, inference, NVCF platform, ML reliability engineering, GPU architecture, distributed systems
This role has been open 37 days — well below the 51-day median for Infrastructure/Platform Software roles.
Infrastructure/Platform Software · Infrastructure Platform
|
Open roles in category
976
|
Median days open
51 d
|
Median salary
$236k
|
See the full market breakdown ▾Category comparison, skills in demand, and who else is hiring
| Metric | NVIDIA | All employers we track in this specialty (976 roles · 86 employers) |
|---|---|---|
| Open roles in this specialty | 274 | 976 |
| Open roles in the wider Software, Firmware & Systems family | 973 | 6119 · 145 employers |
| Median days open | 46 d | 51 d (−5 d vs this employer) |
| Median salary (USD postings) | — | $236k |
Skills observed across this category: AI models, inference, NVCF platform, ML reliability engineering, GPU architecture, distributed systems
Who's hiring in this category
- NVIDIA (this employer) · 281 open roles · median 46 d
- Qualcomm · 62 open roles · median 52 d
- AMD · 55 open roles · median 18 d
- Graphcore · 44 open roles · median 92 d
- Intel Corporation · 43 open roles · median 11 d
- Cerebras · 39 open roles · median 82 d
How we counted: 976 open Infrastructure/Platform Software (Infrastructure Platform) roles from 86 employers tracked in the SemiconductorJobs index, counted 17 Oct 2026. Specialty figures count only roles carrying this exact specialty label, so an employer's related work in neighbouring specialties is not included there — it is counted in the wider Software, Firmware & Systems family row. Figures refresh nightly.