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System Integration Engineer

1 month ago

Santa Clara, United States Qualcomm Full time

The Qualcomm Cloud Computing team is developing hardware and software for Machine Learning solutions spanning the data center, edge, infrastructure, automotive market. Qualcomm’s Cloud AI 100 accelerators are currently deployed at AWS / Cirrascale Cloud and at several large organizations. We are rapidly expanding our ML hardware and software solutions for large scale deployments and are hiring across many disciplines.

We are seeking a Systems Integration engineer to join the Qualcomm Cloud team. The Systems Integration engineer is responsible for working with ODMs/OEMs/Customers to integrate ML accelerators into servers and get them ready for large scale deployments in Cloud/edge environments.

  • This candidate must possess excellent communication, leadership, interpersonal and organizational skills, plus strong operations management, and analytical skills.
  • This role will interact with individuals of all levels and requires an experienced, dedicated professional to effectively collaborate with internal and external stakeholders.
  • The ideal candidate has either developed robust hardware/software test plans, or validation planning as a systems engineer supporting AI/ML, server, or network equipment.
  • If you have a strong appetite for technology and enjoy working in small, agile, empowered teams solving complex problems within a high energy, oftentimes chaotic environment then this is the role for you.

Key Responsibilities

  • Partner with cross functional development partners in hardware, firmware, and software engineering to become conversant in the Qualcomm AI/ML, compute solutions.
  • Partner with Qualcomm’s customers/partners to draw out card/server qualification/integration/deployment plans.
  • Partner with product management, hardware/software engineering and operations teams regularly to highlight any concerns w.r.t server qualification/deployment timelines.
  • Actively support system integration activities from bring-up to deployment at customers/partners
  • Create product collateral – documentation and tools for system integration.
  • Capturing Lessons for issues in qualification/deployment and creating test cases to address gaps if any for future projects
  • 15% domestic and/or international travel required.

Minimum Qualifications

  • Masters's degree in Computer Science, Computer Engineering, electrical engineering or relevant technical field, or equivalent practical experience.
  • 3+ years of experience in software or hardware validation testing, or acceptance testing of AI/ML, compute equipment.
  • Proven communications skills and demonstrated experience influencing cross functional teams.
  • Technical aptitude demonstrated by familiarity with server and storage architecture and components, hardware troubleshooting and diagnosis experience, and/or hardware manufacturing.
  • Advanced Python (object-oriented) and troubleshooting skills.

Preferred Qualifications

  • Experience with AI/ML hardware development and deployment at scale
  • Experience with Linux operating systems, and utilities
  • Knowledge of server communication methods, such as IPMI and serial console from BMC
  • Proficiency with git or similar SCM tools
  • Experience with test-driven software development