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AI/ML QA Engineer

A global technology leader that designs, develops and supplies semiconductor and infrastructure software solutions.
$81,000 - $130,000
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
2+ years of experience
AI

Job Description

Broadcom, a global technology leader in semiconductor and infrastructure software solutions, is seeking an AI/ML QA Engineer for their San Jose office. This role combines software quality assurance with cutting-edge AI/ML technologies, offering a competitive salary range of $81,000-$130,000.

The position requires a minimum of 2 years of hands-on test experience or a Master's degree in Engineering, focusing on testing AI/ML Interconnect Solutions. The ideal candidate will possess strong understanding of Ethernet functionality, TCP/IP networking, virtualization technologies, RDMA, and PCIe protocols, along with expertise in AI/ML clusters and GPU technologies.

Key responsibilities include developing and reviewing test scenarios, automating test processes, and working closely with multi-site development teams. The role demands strong analytical and problem-solving skills, with particular emphasis on Python automation and experience with AMD/NVIDIA GPUs.

Broadcom offers a comprehensive benefits package including medical, dental, and vision coverage, 401(k) with company matching, stock purchase programs, and various leave benefits. The company promotes an inclusive work environment and considers qualified applicants regardless of background.

This role presents an excellent opportunity for someone passionate about quality assurance in AI/ML technologies, offering both technical challenges and professional growth. The position combines hands-on technical work with collaborative team environments, making it ideal for someone who enjoys both detailed technical work and cross-functional collaboration.

Last updated 29 minutes ago

Responsibilities For AI/ML QA Engineer

  • Creation and review of Test scenarios, Test cases, and Test Automation
  • Reviews of design and functional specifications
  • Execute test activities and work with multi-site team of developers and testers
  • Review User Documentation
  • Prioritize and manage multiple parallel tasks, projects & releases

Requirements For AI/ML QA Engineer

Python
Kubernetes
  • Bachelor's degree in Engineering with 2 years test experience, or Master's degree in Engineering
  • Strong analytical, problem-solving and debugging skills
  • Excellent communication skills
  • Strong networking experience with protocol testing & validations
  • Experience with AMD/NVIDIA GPUs, RCCL/NCCL & RoCM/CUDA
  • Experience in Python automation scripts
  • Knowledge of Ethernet functionality, TCP/IP networking, virtualization
  • Understanding of AI/ML clusters, Deep learning models, and GPU Micro benchmarks

Benefits For AI/ML QA Engineer

401k
Medical Insurance
Dental Insurance
Vision Insurance
Mental Health Assistance
  • Medical, dental and vision plans
  • 401(K) with company matching
  • Employee Stock Purchase Program (ESPP)
  • Employee Assistance Program (EAP)
  • Paid holidays
  • Paid sick leave
  • Vacation time
  • Annual discretionary bonus
  • Equity awards

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