Principal Engineer - AI Networking

Benefits

Parental leave

14 weeks From the posting source checked Jun 20, 2026

Non-birth-parent leave

14 weeks From the posting source checked Jun 20, 2026

Family-building benefits

• Fertility benefits: Not verified
• Adoption assistance: Offered From the posting source checked Jun 20, 2026
• Surrogacy assistance: Not verified

Mental health support

Not verified

Relocation assistance

Not verified

Childcare support

Not verified

Learning budget

Not verified

Verification

Source-linked checked May 7, 2026

Salary

$100K-$235K From the posting source checked Jun 20, 2026

401(k) match

Reported from DOL Form 5500 industry filing (not employer-specific)

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Market context

U.S. role benchmark (BLS OEWS)

$116,543 U.S. median for this role

Projected growth (BLS Employment Projections)

+9.8% - Much faster than average

43% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function

Engineering From the posting source checked Jun 20, 2026

Seniority

Principal From the posting source checked Jun 20, 2026

Schedule

Shift type

Not verified

Weekend work

Not verified

Company

Company stage

Public-company From the posting source checked Jun 20, 2026

Equity

Offered Verified - SEC 10-K source checked Jun 20, 2026

Application

Cover letter

Not verified

Assessment

Not verified

Deadline

Not stated

Where they hire

State eligibility is not yet verified.

About this role

Principal Engineer - AI Networking Seattle, WA, United States, US The ideal candidate is an experienced RDMA software engineer with a strong background in high-performance networking, distributed communication systems, and systems programming. You will work closely with senior technical leaders to design, implement, optimize, and operate critical networking infrastructure used by large-scale AI training and inference workloads. This is a hands-on engineering role requiring deep technical expertise, strong software development skills, and a passion for solving complex performance and scalability challenges. What You'll Bring Strong software engineering fundamentals and systems programming expertise. Deep interest in RDMA, high-performance networking, and distributed communication systems. Ability to diagnose and solve complex performance and scalability problems. Strong collaboration and communication skills in cross-functional engineering environments. Ownership mindset with the ability to independently drive technical initiatives from design through production deployment. Passion for building infrastructure that enables next-generation AI systems. Key Responsibilities Design, develop, and optimize RDMA-based software components and services for large-scale AI infrastructure. Build and enhance collective communication frameworks, transport layers, and communication libraries used by distributed AI workloads. Develop congestion management, load balancing, resiliency, and failover capabilities for RDMA-based networks. Analyze and improve communication performance across networking, GPU, and software stacks. Design and implement scalable distributed systems supporting AI training and inference environments. Collaborate with networking, AI infrastructure, hardware, and cloud platform teams to deliver high-performance solutions. Investigate and resolve complex networking, performance, and reliability issues in production environments. Develop observability, telemetry, debugging, and performance analysis tools for distributed communication systems. Contribute

Read the full description at careers.oracle.com. FewerJobs shows a preview and links to the original posting.