below marketmost similar roles pay hereabove market
This role pays more than
72%
of similar roles. Most pay
$144,350–$207,037
— the blue band above.
At the midpoint, this role pays about
$197k
versus about
$176k
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
1792 open roles
on FindRole.
Listed pay typically runs
$184,000–$287,500
across 1179 roles with salary data.
The Senior Software Engineer, Bare Metal Infrastructure joins the DGX Cloud team to manage software that transforms newly racked hardware into reliable production capacity. You will design and maintain production services for bare-metal discovery, provisioning, hardware validation, firmware upgrades, auditing, and repair across large GPU fleets. Key responsibilities include developing integrations with Redfish and vendor BMC interfaces, debugging complex failures across hardware and Linux, and turning recurring failures into automated repair workflows. You will contribute to a Rust codebase while building supporting tools in Go and Python. The role requires deep knowledge of enterprise server hardware, BIOS/UEFI, and network boot protocols. You will also utilize AI agents and LLM tools daily to write, review, and test code while defining automated validation criteria for new platforms.
What does a Software Engineer earn in California?
Median $214500 from 1156 postings across 72 companies.
Design and maintain production services for bare-metal discovery, provisioning, hardware validation, and firmware upgrades.
Develop integrations with Redfish and vendor BMC interfaces to manage server state and collect health data.
Write and review production code in Rust while building supporting tools in Go and Python.
Automate the detection, validation, and repair of recurring hardware, firmware, and connectivity failures.
Define automated validation and handoff criteria for new platforms and rack-scale deployments.
Debug complex failures across hardware, firmware, Linux, and networking layers to improve software reliability.
Utilize AI agents and LLM tools to write, review, and test code and investigate system failures.
What we're looking for
BS or MS in Computer Science, Computer Engineering, or equivalent experience.
5+ years of experience building production infrastructure software, automation, or services with substantial hands-on work with bare-metal server systems.
Strong programming skills in Rust, Go, or Python with a track record of designing, testing, shipping, and maintaining production code.
Deep knowledge of enterprise server hardware from multiple vendors, including BMCs, BIOS/UEFI, and firmware management.
Direct experience with Redfish and IPMI for provisioning, health inspection, power management, or fault diagnosis.
Strong Linux knowledge including boot process, kernel and driver interactions, hardware discovery, and low-level failure analysis.
Solid datacenter networking fundamentals with the ability to trace connectivity problems across host, management, and infrastructure networks.
Demonstrated, regular use of AI agents and LLM tools in software development (preferred).
Remote (Santa Clara, CA)5 days ago
$224,000–$356,500
Go
Python
Rust
Kubernetes
SLURM
Linux
Distributed Systems
RDMA
GPU Hardware
Data Structures and Algorithms
System Administration
Cluster Management
Data Synchronization
Fault Tolerance
State Management
Monitoring
Automation