Principal Software Engineer, Core Infrastructure

Oracle

Confirmed live yesterday High trust

Quick summary

Work type: On-site
Location: Nashville, TN
Salary: $114,600–$234,600 / yr
Posted: 41 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

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Salary context

Competitive pay

How this pay compares to similar roles

Similar $177k

This role $175k

$100k $249k

below market most similar roles pay here above market

This role pays more than 63% of similar roles. Most pay $144,350–$208,800 — the blue band above. At the midpoint, this role pays about $175k versus about $177k for comparable roles.

Based on 240 similar postings.

Employer

About Oracle

Oracle Corporation is a leading multinational technology company specializing in database software, cloud computing, and enterprise software.

Oracle currently has 955 open roles on FindRole.

Listed pay typically runs $102,300–$234,600 across 790 roles with salary data.

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At a glance

TL;DR · Principal Software Engineer, Core Infrastructure

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The Principal Software Engineer, Core Infrastructure leads the design and evolution of core distributed systems and data-plane services for hyperscale infrastructure. You will architect scalable, container-based services to build, validate, and monitor liquid-cooled GPU infrastructure across factory environments. Daily responsibilities include developing secure control-plane workflows, automating GPU test validation, and managing firmware and hardware configurations for platforms like GB200 and MI355. You will utilize skills in Java, C++, C#, or Go to optimize high-throughput data paths and implement fault-tolerant designs. The role requires deep knowledge of CPU/GPU architectures, PCIe, NVMe, and Linux networking. You will solve complex manufacturing test lifecycle problems, establishing yield and throughput metrics to accelerate reliable hyperscale AI infrastructure delivery while ensuring operational readiness through proactive alerting and telemetry.

What does a Software Engineer earn?

Median $197400 from 2576 postings across 150 companies.

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Skills

Distributed Systems Infrastructure as Code C++ Go Java Linux AWS Oracle Cloud Azure Google Cloud Redfish PCIe NVMe Microservices

What you'll do

Lead the design and evolution of core distributed systems and data-plane services at hyperscale.
Architect scalable, container-based services to build, validate, and monitor liquid-cooled GPU infrastructure.
Develop secure infrastructure and control-plane workflows to orchestrate manufacturing test lifecycles and business reporting.
Automate GPU test validation and manage consistent firmware, software, and hardware configurations.
Optimize high-throughput data paths for large-scale retrieval, storage, and processing using distributed state patterns.
Build Infrastructure as Code and operational automation for safe patching, updates, and change management.
Design and lead performance, load, and fault-injection testing to validate system resilience and readiness.
Lead production incident diagnosis, guide root-cause analysis, and mentor engineers in operational excellence.

What we're looking for

Applicants must be able to read, write, and speak English.
Bachelor's or Master's degree in Computer Science, Computer Engineering, or a related field, or equivalent practical experience.
7+ years of professional software-engineering experience with demonstrated impact on large-scale distributed systems or cloud infrastructure.
Proficiency in one or more object-oriented or systems programming languages such as Java, C++, C#, or Go.
Deep understanding of distributed-systems design, data structures, algorithms, operating systems, networking, and secure software-development practices.
Experience designing and operating highly available, scalable, fault-tolerant distributed systems.
Experience with system-level test automation, performance/load testing, reliability engineering, and production incident response.
Demonstrated experience leading or influencing technical architecture and mentoring engineers.
Experience with Oracle Cloud, AWS, Azure, Google Cloud, or other large-scale cloud platforms (preferred).
Experience with data-plane platforms, distributed storage, microservices, replication, state management, or high-throughput data processing (preferred).
Experience defining SLOs, building observability systems, and operating services in a 24x7 production environment (preferred).
Experience with Infrastructure as Code, service automation, security controls, and compliance requirements for cloud infrastructure (preferred).

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