NVIDIA
Senior Systems Software Engineer - NV Cloud Functions
$152K–$288K
US, CA, Santa Clara +1 · Senior · Full-time · Posted Oct 14, 2026
- Location
- US, CA, Santa Clara
US, WA, Seattle - Experience
- At least 2 years; the posting does not specify a duration for other experience.
- Education
- Master’s, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Applied Math, or a related field.
About the job
Build and operate NVIDIA’s serverless platform for deploying and scaling AI inference workloads on GPU-backed Kubernetes clusters, while supporting customers and product teams.
What you'll do
- Translate user needs into platform requirements; lead feature implementation, testing, performance evaluation, and reliability improvements.
- Mentor engineering teams on scalable AI/ML workloads, produce reference architectures, and resolve customer issues.
- Evaluate emerging technologies and tools to inform the product roadmap.
What they ask for
- Master’s, PhD, or equivalent experience in Computer Science, Artificial Intelligence, Applied Math, or a related field.
- At least 2 years of work experience with Python, Rust, Golang, Linux, or Bash.
- Experience in Deep Learning and Machine Learning, including AI/DL frameworks and inference software such as SGLang, vLLM, TensorRT-LLM, or Dynamo.
- Knowledge of CPU and GPU architecture.
Nice to have
- Projects or Open Source contributions in HPC, Data Analytics, Machine Learning, Deep Learning, Cloud Native Projects, Kubernetes, Slurm, or GPU workloads.
- Prior experience building distributed systems.
Pay
152,000 USD - 241,500 USD base salary (Level 3); 184,000 USD - 287,500 USD base salary (Level 4)
Tools
Python, Rust, Golang, Linux, Bash, SGLang, vLLM, TensorRT-LLM
AI focus
Enable and scale AI inference workloads on the NVCF platform; guide teams and customers in deploying AI/ML workloads at scale.
Model-written summary · the original posting is authoritative