Principal Engineer AI Networking

Description

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 Youll 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.

Responsibilities

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 to architectural design discussions and technical direction for networking platforms.
• Participate in code reviews and help maintain engineering excellence across the team.

Minimum Qualifications

• Bachelors degree in Computer Science Computer Engineering Electrical Engineering or related field; advanced degree preferred.
• 7 years of software engineering experience in systems software networking distributed systems or infrastructure platforms.
• Strong hands-on expertise with RDMA technologies including RoCEv2 and/or InfiniBand.
• Experience developing RDMA-enabled software communication libraries networking services or distributed infrastructure.
• Strong understanding of RDMA programming concepts including queue pairs completion queues memory registration verbs and transport semantics.
• Proficiency in C/C and Linux systems programming.
• Experience debugging and optimizing performance-critical software systems.
• Solid understanding of networking fundamentals operating systems and distributed systems concepts.

Preferred Qualifications

• Experience with collective communication frameworks and libraries such as NCCL RCCL MPI UCX UCC XCCL or similar technologies.
• Experience supporting AI/ML infrastructure and distributed training environments.
• Knowledge of GPUDirect RDMA and GPU-aware communication technologies.
• Experience developing congestion management traffic engineering or network resiliency solutions.
• Familiarity with large-scale GPU clusters and high-performance computing environments.
• Experience building services and infrastructure operating directly over RDMA transports.
• Familiarity with distributed training frameworks such as PyTorch DeepSpeed Megatron-LM TensorFlow or JAX.
• Experience with Kubernetes containers and cloud infrastructure platforms.
• Understanding of performance profiling and benchmarking tools for networking and distributed systems.

Qualifications
Disclaimer:

Certain U.S. based or U.S. customer or client-facing roles may be required to comply with applicable requirements such as immunization/occupational health mandates and/or drug testing requirements.

Range and benefit information provided in this posting are specific to the stated locations only

US: Hiring Range in USD from: $99600 to $234600 per annum. May be eligible for bonus equity and compensation deferral.


Oracle maintains broad salary ranges for its roles in order to account for variations in knowledge skills experience market conditions and locations as well as reflect Oracles differing products industries and lines of business.
Candidates are typically placed into the range based on the preceding factors as well as internal peer equity.

Oracle US offers a comprehensive benefits package which includes the following:
1. Medical dental and vision insurance including expert medical opinion
2. Short term disability and long term disability
3. Life insurance and AD&D
4. Supplemental life insurance (Employee/Spouse/Child)
5. Health care and dependent care Flexible Spending Accounts
6. Pre-tax commuter and parking benefits
7. 401(k) Savings and Investment Plan with company match
8. Paid time off: Flexible Vacation is provided to all eligible employees assigned to a salaried (non-overtime eligible) position. Accrued Vacation is provided to all other employees eligible for vacation benefits. For employees working at least 35 hours per week the vacation accrual rate is 13 days annually for the first three years of employment and 18 days annually for subsequent years of employment. Vacation accrual is prorated for employees working between 20 and 34 hours per week. Employees working fewer than 20 hours per week are not eligible for vacation.
9. 11 paid holidays
10. Paid sick leave: 72 hours of paid sick leave upon date of hire. Refreshes each calendar year. Unused balance will carry over each year up to a maximum cap of 112 hours.
11. Paid parental leave
12. Adoption assistance
13. Employee Stock Purchase Plan
14. Financial planning and group legal
15. Voluntary benefits including auto homeowner and pet insurance

The role will generally accept applications for at least three calendar days from the posting date or as long as the job remains posted.

Career Level - IC4