This listing doesn't post a salary. Most similar roles pay
$151,000–$202,120.
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
1150 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 912 roles with salary data.
Senior System Software Engineer - Performance will join the Tegra system-on-chip software organization to develop and optimize software for next-generation SoCs during both pre-silicon and post-silicon phases. The role involves identifying hardware and software policies to improve performance and power efficiency, conducting competitive analysis of architecture metrics against other silicon vendors, and driving full-stack adoption of optimization methodologies across products and open-source SDKs. Candidates must possess expertise in multicore hardware, operating systems design, concurrency, virtual memory, caching, interrupts, device drivers, and real-time programming. The position requires proficiency in performance and data analysis to solve challenges related to datacenter-scale performance for CPU and GPU Superchips. Preferred skills include deep knowledge of the ARM architecture and software ecosystem, experience with CUDA programming, and familiarity with high-performance computing or large-scale computing environments.
Design, develop, test, and optimize software for next-generation SoCs in pre-silicon and post-silicon phases.
Identify hardware and software policies to improve performance and power efficiency across system workloads.
Analyze architectural performance bottlenecks to drive leadership in performance-per-watt metrics.
Conduct competitive analysis of architecture and workload performance against competing silicon vendors.
Create technical documentation and communications regarding architecture and analysis for internal and external audiences.
Drive the adoption of performance optimizations and standard methodologies across NVIDIA software products and OSS SDKs.
What we're looking for
BS or MS degree in Computer Engineering, Computer Science, or a related field (or equivalent experience).
6+ years of relevant computer architecture or software development experience.
Proven leadership skills and strong ownership on past projects.
Hands-on technical experience with complex software and hardware designs.
Strong understanding of multicore hardware, operating systems, concurrency, virtual memory, caching, interrupts, device drivers, and real-time programming.
Strong skills in performance analysis, data analysis, and performance optimization.
Deep expertise in ARM architecture and the SW ecosystem (preferred).
Proficiency in analyzing, debugging, and tuning complex system software stacks; experience with CPU server workloads, CUDA/GPUs, or HPC environments (preferred).
PostgreSQL
MySQL
Amazon RDS
Aurora
Azure
GCP
Python
Java
Go
Terraform
CloudFormation
Git
GitLab
GitHub
Linux
Containers
Ansible
Chef
CI/CD
Infrastructure as Code
SRE
DRE
Java
Python
Go
C++
C#
Kubernetes
Docker
RESTful APIs
CI/CD
Linux
Oracle Cloud Infrastructure
Codex
Claude Code
GitHub Copilot
Distributed Systems
Infrastructure Automation
Service Observability