Senior Cloud Systems Engineer — Scientific Computing Platform

NVIDIA Gruppe; Santa Clara (CA); On-site; USD 184,000 - 357,000; Full time

Job summary

NVIDIA in Santa Clara, CA seeks a Senior System Software Engineer to build and operate cloud-based scientific computing platform workflows across AI training, inference, and visualization. You will own core cloud infrastructure for physics-informed and data-driven workflows that power weather, climate modeling, and digital twins simulations.

You’ll design scalable I/O, optimize compute and storage, work across CPU/GPU accelerated stacks, and collaborate with multiple teams to deliver robust

Qualifications

• BS/MS degree in Computer Science or related areas or equivalent experience.
• 10+ years experience building and operating distributed compute and data intensive platform as a service on cloud.
• Proven skill in a compiled language (Go, Rust, C++ or otherwise).
• Strong foundational knowledge in Cloud Computing e.g The Datacenter is a Computer architecture, cloud security architecture, virtualization, resource pooling and elasticity.
• Proven skills in Distributed Systems & Parallel Processing e.g topology abstraction, synchronization and deadlock detection, MPI/NCCL, cluster scalability and performance.
• Hands on Debugging skills with Process, Threads, Deadlock, Scheduling, IPC and Memory management.
• Be self-motivated with strong interpersonal skills and able to work independently with multiple teams.

Responsibilities

• Design services and take ownership of underlying cloud infrastructure for physics informed and data driven scientific workflows.
• Design novel algorithms and engage with operations to increase system performance across the stack (DL Frameworks, Solvers, Microservices, APIs, GPUs/CPUs).
• Design, Build, Deploy and Operate scalable I/O infrastructure for checkpointing, data loading, pre & post processing.
• Optimize compute, storage and network architecture specific to physics & simulation driven applications.

Skills

Go

Rust

C++

Distributed systems

Cloud computing

Parallel processing

Algorithmic thinking

Debugging

Team collaboration

Education

BS/MS in CS or related

Tools

MPI

NCCL

Cloud platforms

Job description

NVIDIA in Santa Clara, CA seeks a Senior System Software Engineer to build and operate cloud-based scientific computing platform workflows across AI training, inference, and visualization. You will own core cloud infrastructure for physics-informed and data-driven workflows that power weather, climate modeling, and digital twins simulations.

You’ll design scalable I/O, optimize compute and storage, work across CPU/GPU accelerated stacks, and collaborate with multiple teams to deliver robust