This role pays more than
74%
of similar roles. Most pay
$151,000–$202,561
— the shaded band above.
At the midpoint, this role pays about
$197k
versus about
$177k
for comparable roles.
Based on 240 similar postings.
Employer
About Nvidia
Nvidia is a leading designer of graphics processing units (GPUs) and system-on-chip units, powering gaming, professional visualization, data centers, and artificial intelligence workloads. Industry: Semiconductors & AI Computing
Nvidia currently has
929 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 915 roles with salary data.
Senior Systems Software Engineer - NV Cloud Functions joins the NV Cloud Functions team to build and operate a serverless deployment platform for AI applications. This role involves translating user challenges into product requirements, leading feature implementations, conducting load testing, and performing performance evaluations to ensure platform reliability. The engineer will also mentor other teams on best practices for ML workloads, produce reference architectures, and evaluate emerging technologies to maintain a competitive roadmap. Required skills include proficiency in Python, Rust, Golang, Linux, or Bash, along with knowledge of CPU and GPU architecture. Candidates should have experience with Deep Learning and Machine Learning frameworks such as SGLang, vLLM, TensorRT-LLM, or Dynamo. The role focuses on the technical challenge of scaling AI inference workloads through globally distributed orchestration on cloud-agnostic Kubernetes clusters.
Translate user challenges and constraints into technical product requirements and solutions for the NVCF platform.
Lead the implementation of key features to accelerate the delivery of AI models and inference workloads.
Conduct user-acceptance testing, load testing, and performance evaluations to ensure platform reliability.
Mentor other engineering teams on best practices for high-performance AI/ML workloads at scale.
Create reference architectures to guide customer use cases using the latest AI technologies and NVCF features.
Resolve customer issues while identifying and communicating potential risks and technical hurdles.
Evaluate emerging technologies and tools to maintain a competitive product roadmap in the AI landscape.
What we're looking for
Master's degree, 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 expertise in AI/DL frameworks and inferencing software like 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.
Ability to explain sophisticated technical topics to non-experts.
Familiarity with all aspects of the software development lifecycle.
Experience in HPC, Data Analytics, Cloud Native Projects, Kubernetes, Slurm, or building distributed systems (preferred).