2 days ago
Base Salary
$152k - $288k/yr
Responsibilities
- Design and ship distributed services in Java, Go, and Rust for the open-source NVIDIA Cloud Functions platform.
- Improve performance, reliability, scalability, and monitoring for systems routing AI workloads across distributed GPU and DPU fleets.
- Automate and optimize cloud-native build, testing, integration, and release processes.
- Integrate the platform with NVIDIA technologies including KAI Scheduler, NVIDIA NIM, Grove, and Dynamo.
- Steward the open-source project by triaging community issues and pull requests and writing contributor documentation.
Requirements
- Bachelor’s or Master’s degree in Computer Science or equivalent experience.
- At least 3 years of hands-on software engineering experience.
- Expertise in a systems programming language such as Go, C, or Rust, with strong knowledge of data structures, algorithms, and distributed software architecture.
- Strong understanding of Kubernetes, container technologies, and automation using continuous integration frameworks such as GitLab and ArgoCD.
- Expertise in Bash or Python and experience with Unix/Linux kernel internals.
- Understanding of performance, security, and reliability in complex distributed systems.
- Preferred: experience with pub-sub models, message queues, high-throughput network paths, HTTP/2, gRPC, Kubernetes Custom Resources, Kubernetes Operators, and cloud service providers.
Benefits
- Competitive salary, equity, and benefits package.
- Salary varies by location, experience, and other objective job-related factors, with listed base salary ranges for Level 3 and Level 4.
- The posting is for an existing vacancy and applications will be accepted at least until November 3, 2026.
About Nvidia
Nvidia designs and sells GPUs and accelerated computing platforms for data centers, AI/ML, graphics, gaming, and automotive, monetizing through hardware, software platforms (CUDA, AI frameworks), and systems like DGX and networking. Customers include cloud providers, enterprises, researchers, and OEMs. Founded in 1993 and headquartered in Santa Clara, it is a public company traded on NASDAQ under NVDA.