Senior Cloud Systems Engineer - Scientific Computing Platform

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

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a Sr System Software Engineer to advance our cloud-based scientific computing platform for physics-based solvers, AI training, inference and visualization. You will own cloud infra for data-driven workflows spanning GPUs, CPUs, networking and storage.

Work spans distributed systems, performance optimization and large-scale HPC. Location is Santa Clara with equity and benefits tied to level and impact on critical workloads.

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 - CPU, Memory and IO, Resource pooling and elasticity.
• Proven skills in Distributed Systems & Parallel Processing including MPI/NCCL, fault tolerance, synchronization and performance.
• Hands on debugging skills with processes, threads, memory management, I/O and file systems.
• Strong algorithmic thinking and system design skills for large scale distributed systems.

Responsibilities

• Design services and own cloud infrastructure for physics-informed and data-driven workflows.
• Design novel algorithms and improve system performance across the stack (DL frameworks, solvers, microservices, APIs, GPUs/CPUs).
• Build, deploy and operate scalable I/O infrastructure for checkpointing and data processing.
• Optimize compute, storage and network architecture for physics and simulation workloads.

Skills

Distributed systems

Parallel processing

C++

Go

Rust

System design

Debugging

Algorithmic thinking

Self-motivated

Education

BS/MS degree in Computer Science or related areas or equivalent experience

Job description

NVIDIA is seeking a Sr System Software Engineer to advance our cloud-based scientific computing platform for physics-based solvers, AI training, inference and visualization. You will own cloud infra for data-driven workflows spanning GPUs, CPUs, networking and storage.

Work spans distributed systems, performance optimization and large-scale HPC. Location is Santa Clara with equity and benefits tied to level and impact on critical workloads.