Senior System Software Engineer, Scientific Computing PaaS

Nvidia

Confirmed live yesterday High trust
Remote

Quick summary

Work type
Remote
Location
Santa Clara, CA
Salary
$184,000–$287,500 / yr
Employment
Full-time
Posted
3 days ago
Freshness
Confirmed live yesterday

Market check

Salary context

Above market

How this pay compares to similar roles

Similar $180k
This role $236k
$107k $307k
below market most similar roles pay here above market

This role pays more than 94% of similar roles. Most pay $149,500–$210,875 — the blue band above. At the midpoint, this role pays about $236k versus about $180k 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 1626 open roles on FindRole.

Listed pay typically runs $184,000–$287,500 across 1115 roles with salary data.

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At a glance

TL;DR · Senior System Software Engineer, Scientific Computing PaaS

The Senior System Software Engineer - Scientific Computing PaaS joins the team to build cloud-based scientific computing platform workflows. This role involves designing services and taking ownership of underlying cloud infrastructure for physics-informed and data-driven scientific workflows. Key responsibilities include designing novel algorithms to increase system performance, building and operating scalable I/O infrastructure for checkpointing and data loading, and optimizing compute, storage, and network architectures. The position requires expertise in compiled languages like Go, Rust, or C++, along with deep knowledge of distributed systems, parallel processing, and heterogeneous accelerated computing using CPUs and GPUs. Candidates must understand virtualization, consensus protocols, and message passing like MPI and NCCL. The work addresses technical problems in weather prediction, climate modeling, industrial design, and digital twins across various engineering domains.

What does a System Software Engineer earn in California?

Median $235750 from 69 postings across 4 companies.

See salary data

What you'll do

  • Design and own cloud infrastructure for physics-informed and data-driven scientific workflows.
  • Develop novel algorithms to increase overall system performance across the full technology stack.
  • Build and operate scalable I/O infrastructure for checkpointing and data loading.
  • Optimize compute, storage, and network architectures specifically for simulation-driven applications.
  • Manage heterogeneous accelerated computing environments using CPUs and GPUs.
  • Debug and optimize performance for compute, networking, and I/O frameworks.
  • Configure and troubleshoot hardware, operating systems, kernels, and compilers for maximum performance.

What we're looking for

  • BS/MS degree in Computer Science or related areas or equivalent experience.
  • 10+ years of experience building and operating distributed compute and data-intensive platform as a service on cloud.
  • Proven skill in a compiled language such as Go, Rust, or C++.
  • Strong foundational knowledge in cloud computing, security architecture, virtualization, and resource pooling.
  • Proven skills in distributed systems, parallel processing, fault tolerance, and message passing (MPI, NCCL).
  • Hands-on debugging skills with processes, threads, deadlocks, synchronization, and memory management.
  • Strong evidence of algorithmic thinking and large-scale loosely coupled distributed system design.
  • Experience building and operating AI platforms on HPC clusters or cloud-native distributed storage and orchestration (preferred).

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