AI Systems Performance Engineer

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: Bachelor's / Master's 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

• 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.

Compensation And Benefits

The annual base salary range for this position is $141,300 - $226,000. As a valued member of our team, you'll 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 company's 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.