19 часов назад
PCIe QA Engineer
82 500 - 132 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
PCIe QA Engineer (PCIe/Python): Testing Broadcom's PCIe switch solution across functionality, performance, compliance, and system-level configurations with an accent on PCIe protocol validation and test automation. Focus on designing thorough test scenarios, debugging complex switch behavior, and validating networking, GPU, storage, and AI/ML cluster use cases.
Location: Onsite in San Jose, California, USA
Annual base salary: USD 82,500–132,000, plus discretionary annual bonus and equity awards.
Company
develops semiconductor and software solutions, including PCIe switch products for system and data-center applications.
What you will do
- Create and review test scenarios, test cases, and test automation for PCIe switch solutions.
- Review development specifications to understand and validate product functionality.
- Execute comprehensive functional, performance, and compliance testing across configurations and use cases.
- Collaborate with developers and testers across multiple sites.
- Review user documentation for accuracy and clarity.
- Prioritize and manage parallel testing tasks, projects, and releases.
Requirements
- Bachelor's or Master's degree in Engineering and at least 2 years of hands-on testing experience.
- Strong PCIe testing experience, including Config Space, Link Training, ACS, Hotplug, Virtualization, P2P, BMC interaction, AER/DPC, and backplanes.
- Hands-on Python automation experience for network- and system-level programming.
- Strong analytical, problem-solving, debugging, and test-case design skills.
- Networking experience with protocol testing and validation.
- Excellent communication skills, critical thinking, self-direction, and a strong engineering mindset.
Nice to have
- Experience with AMD or NVIDIA GPUs, RCCL/NCCL, ROCm/CUDA, and GPU microbenchmarks.
- Experience with NVMe drives and storage stress-generation tools.
- Experience with PCIe analyzers, protocol jammers, and load generators such as Medusa tools.
- Knowledge of L2/L3 protocols, especially RoCE, and AI/ML or HPC cluster use cases.
- Knowledge of deep learning models including NLP, LLMs, recommendation systems, and image classification.
Culture & Benefits
- Full-time position within a software team working with multi-site engineering groups.
- Medical, dental, and vision plans.
- 401(k) participation with company matching and an Employee Stock Purchase Program.
- Employee Assistance Program, paid holidays, paid sick leave, and vacation time.
- Paid family leave and other legally applicable leaves of absence.
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