PCIe QA Engineer

Job Description

Seeking a highly focused and motivated test engineer in our software team responsible for comprehensively testing our PCIE switch solution.

This role involves holistic validation of PCIe switch functionality, performance, and compliance across various configurations and use cases.

The candidate should have an understanding of PCIe protocol - Gen3 & above, a system-level understanding of PCI-E-based designs, and hands-on experience in Python programming.

Good understanding of AI/ML clusters, Deep learning models, and GPU Micro benchmarks is a plus.

• Creation and review of Test scenarios, Test cases, and Test Automation
• Reviews of design and functional specifications created by the development team to understand product functionality.
• Execute test activities and work closely with multi-site team of developers and testers
• Review User Documentation to ensure it clearly documents product functionality
• Prioritize and manage multiple, parallel tasks, projects & releases

• Bachelor of Engineering with a minimum of 5 years of hands‑on test experience, or Master of Engineering with a minimum of 3 years of hands‑on test experience

• Strong analytical, problem‑solving skills & debugging skills.
• Possess excellent communication skills and be a critical thinker and a self‑starter.
• Possess a strong “break feature” mentality.
• Possess a strong engineering mindset to develop thorough test cases.
• Strong PCIE experience testing with a good understanding of the following areas: PCIe Config Space, Link Training, ACS, Hotplug, Virtualization, P2P, BMC interaction, AER/DPC, Backplanes.
• Experience in utilizing automation scripts in Python – primarily network and system‑level programming using Python.
• Experience with AMD/NVIDIA GPUs, Communication Collectives – RCCL/NCCL & libraries – RoCM/CUDA is a plus.
• Experience with NVMe drives and storage tools for stress generation.
• Experience with PCIe test equipment – Protocol/PCIe Analyzers, Protocol Jammers, Load Generators (Medusa tools).
• Experience with networking protocol testing & validations. Experience with L2/L3 protocols especially RoCE (RDMA over Converged Ethernet) and use cases in AI/ML, HPC cluster is a plus.
• Knowledge of deep learning models – NLP, LLMs, Recommendations, Image Classification is a plus.

The annual base salary range for this position is $91,000 – $146,000.

This position is also eligible for a discretionary annual bonus in accordance with relevant plan documents, and equity in accordance with equity plan documents and equity 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.