AI Systems Performance Engineer

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Job Description:

We are seeking a highly talented and experienced Senior AI Fabric Performance Engineer to take on a critical role within our Performance this high-impact position you will drive the performance benchmarking of AI inference training and storage workloads with focus on our network infrastructure. You will be responsible to generate reports that aid the customers in deployment and marketing team to position the product.

While the AI workloads (inference and training) run on our servers your primary focus will be optimizing the Ethernet fabric that connects them. You will be responsible for executing rigorous performance benchmarks isolating complex system bottlenecks and tuning parameters to achieve maximum throughput and minimum latency. If you possess a deep understanding of Ethernet fabric machine learning system demands and Linux environments and you thrive on solving complex performance puzzles we want you on our team.

Key Responsibilities

• Benchmarking & Execution: Install configure and run industry-standard AI performance benchmarks with a strong emphasis on MLPerf (Training and Inference) and NCCL tests.

• Fabric Optimization: Tune and optimize network parameters focusing heavily on Ethernet fabric performance to ensure seamless data flow for distributed AI workloads running on server clusters.

• Deep Debugging: Identify isolate and troubleshoot complex system performance bottlenecks spanning across the Linux OS server hardware and Ethernet switches.

• Automation Development: Design develop and implement robust performance testing frameworks and automation tools to streamline continuous benchmarking.

• Cross-Functional Collaboration: Document test methodologies communicate performance findings and provide actionable improvement recommendations to hardware software and networking stakeholders.

Required Qualifications

• Education: Bachelors / Masters degree in Computer Science Computer Engineering Electrical Engineering or a related technical field plus 12 years / 10 years related industry experience.

• OS Expertise: Deep familiarity and hands-on experience with Linux operating systems including system-level performance tuning and troubleshooting.

• Programming Skills: Strong proficiency in programming and scripting languages specifically Python and C.

• AI/ML Knowledge: Familiarity with modern machine learning frameworks particularly PyTorch and a solid understanding of how AI models consume compute and network resources.

• Networking & Fabric: Proven experience in performance testing and validating Ethernet switch systems.

• Analytical Capabilities: Extensive experience with performance metrics profiling and benchmarking tools. Strong problem-solving skills with a proven ability to diagnose root causes in complex distributed systems.

Preferred Qualifications (Optional but recommended for a critical role)

• Experience with RDMA (Remote Direct Memory Access) and RoCEv2 (RDMA over Converged Ethernet).

• Prior experience building CI/CD pipelines for automated hardware or software performance regression testing.

• Familiarity with containerization and orchestration tools (Docker Kubernetes) used in AI deployments.

Additional Job Description:

Compensation and Benefits

The annual base salary range for this position is$141300 - $226000.

As a valued member of our team youll be eligible for a discretionary annual bonus and the opportunity to receive not only a competitive new hire equity grant but also annual equity awards connecting your success directly to the companys growth. All subject to relevant plan documents and award agreements.

Broadcom offers a competitive and comprehensive benefits package: Medical dental and vision plans 401(K) participation including company matching Employee Stock Purchase Program (ESPP) Employee Assistance Program (EAP) company paid holidays paid sick leave and vacation time. The company follows all applicable laws for Paid Family Leave and other leaves of absence.

Broadcom is proud to be an equal opportunity employer. We will consider qualified applicants without regard to race color creed religion sex sexual orientation national origin citizenship disability status medical condition pregnancy protected veteran status or any other characteristic protected by federal state or local law. We will also consider qualified applicants with arrest and conviction records consistent with local law.

If you are located outside USA please be sure to fill out a home address as this will be used for future correspondence.