[Skip to main content](#main-content) [OpenNash Jobs](https://jobs.opennash.com/) [Hiring report](/reports/hiring/) · [All Broadcom jobs](https://jobs.opennash.com/companies/broadcom/) · [Search jobs](/search/) Broadcom · USA # AI Systems Performance Engineer USA Full-time $141,300 - $226,000 Operations Listed on Broadcom’s official careers site. Posted October 10, 2026. Check that it is still open and apply there. [Apply on Broadcom’s careers site →](https://broadcom.wd1.myworkdayjobs.com/External_Career/job/USA-CA-San-Jose-Innovation-Drive/AI-Systems-Performance-Engineer_R025748) [OpenNash Jobs](https://jobs.opennash.com/) / [Broadcom](https://jobs.opennash.com/companies/broadcom/) / AI Systems Performance Engineer ## Job description ### Please Note 1. If you are a first time user, please create your candidate login account before you apply for a job. (Click Sign In > Create Account) 2. If you already have a Candidate Account, please Sign-In before you apply. ### Job Description We are seeking a highly talented and experienced Senior AI Fabric Performance Engineer to take on a critical role within our Performance Lab. In 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: 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 (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 $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. 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. ## At a glance - Posted by the employer: Oct 10, 2026 - First seen by OpenNash: Jul 10, 2026 - Last checked: Oct 18, 2026 - Listed for: 100 days - Location: USA - Employment type: Full-time - Pay: $141,300 - $226,000[Apply on Broadcom’s careers site →](https://broadcom.wd1.myworkdayjobs.com/External_Career/job/USA-CA-San-Jose-Innovation-Drive/AI-Systems-Performance-Engineer_R025748) ## More jobs at Broadcom ### [ASIC Implementation Engineer](https://jobs.opennash.com/companies/broadcom/jobs/9d267d2056592340fc11/) USA ### [ASIC Implementation Engineer PD](https://jobs.opennash.com/companies/broadcom/jobs/c82e47f8dd4088937ae1/) USA ### [DFT Engineer](https://jobs.opennash.com/companies/broadcom/jobs/779f6af95e2ad71f6cd6/) USA ### [DFT Lead Engineer](https://jobs.opennash.com/companies/broadcom/jobs/4521421d4f70697601f3/) USA ### [Field Applications Engineer](https://jobs.opennash.com/companies/broadcom/jobs/7a6c35af55e2170a5c81/) USA ## Similar jobs at other companies ### [Sr. Technologist – AI Systems & Performance Lab](https://jobs.opennash.com/companies/sandisk/jobs/66d1fae74d6e42bf132f/) Sandisk ### [Android Performance Optimization / Power Performance - Staff Engineer](https://jobs.opennash.com/companies/qualcomm/jobs/ae100d02b9729a4b6d68/) Qualcomm · Bangalore, India ### [Multimedia System Performance Engineer for Automotive System Performance Team](https://jobs.opennash.com/companies/qualcomm/jobs/41dadd4631c9b6da4447/) Qualcomm · Bangalore, India ### [Performance Engineer](https://jobs.opennash.com/companies/accenture/jobs/db29738a4e69f34c148a/) Accenture ### [Senior Scala Engineer (Performance Measurement)](https://jobs.opennash.com/companies/hitachi/jobs/07b98f92fdbf25875545/) Hitachi · Ukraine +1 more [Operations jobs](/functions/operations/) OpenNash lists jobs from employers’ own careers sites and does not handle applications. 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