This role pays more than
97%
of similar roles. Most pay
$151,000–$196,937
— the shaded band above.
At the midpoint, this role pays about
$236k
versus about
$174k
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
1391 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1116 roles with salary data.
Senior Software Engineer - SOC Platforms joins the GPU and SOC technology team to develop platform software for groundbreaking systems. This role involves taking ownership of kernel device driver development, firmware and BIOS interactions, health monitoring, and system-level features on new products. The engineer will design high-performance distributed observability platforms for metrics, logs, and traces while building backend pipelines and analytics tools focused on performance at scale. Responsibilities include developing production applications, resolving complex system challenges, and improving stability across various configurations. Key technical requirements include proficiency in C/C++, Linux internals, concurrency, and performance profiling. The role requires deep knowledge of computer architecture, including memory hierarchy, PCIe, and NVLink, to manage CPU-GPU interactions for AI workloads. Candidates must possess expertise in distributed systems, backend programming, and experience with x86 and ARM architectures.
What does a Software Engineer earn in California?
Median $214000 from 925 postings across 71 companies.
Develop kernel device drivers and manage firmware/BIOS interactions for new GPU and SOC platforms.
Design and build high-performance distributed observability platforms to handle metrics, logs, and traces at scale.
Build backend pipelines and analytics platforms focused on performance and real-time monitoring.
Develop production applications and features for NVIDIA SOC products across various configurations.
Resolve complex system challenges to improve performance, stability, and features for data center and cloud units.
Perform code reviews and contribute to large-scale production codebases using C and C++.
Optimize AI workloads by mapping them to specific hardware architectures like Tensor Cores and NVLink.
Manage CPU-GPU interactions, PCIe, memory hierarchy, and interrupts within the Linux kernel environment.
What we're looking for
BS/MS/PhD in Computer Science or a related degree (or equivalent experience).
At least 10 years of experience developing SOC systems and platform software.
Multiple years of experience in systems, platform, embedded, or GPU software roles.
Strong hands-on experience with Linux internals, device drivers, kernel/user boundaries, concurrency, and performance profiling.
Experience building modern observability architectures including metrics, logs, traces, distributed systems design, and business intelligence analytics.
Proficiency in high-performance, secure production software stack and backend systems programming.
Solid understanding of advanced operating systems, databases, computer architecture, and distributed systems.
Experience developing AI/ML applications and integrating them with various features (preferred).
Java
C++
C#
Go
RESTful APIs
Microservices
Oracle Cloud Infrastructure
distributed-systems
Containers
Source Control
Observability
Service Reliability Engineering
SDKs
API Design
Java
Go
C++
Python
Distributed Systems
REST APIs
Microservices
Linux
NoSQL
Git
CI/CD
Kubernetes
Docker
OCI
AWS
Azure
GCP
Identity and Access Management (IAM)