Job Description

Job Title: Systems Integration Engineer

Location: Onsite Fremont, CA OR Menlo Park, CA

Duration: 12 Months (potential for extension)

W2 Contract

The Systems Integration Engineer (SIE) is responsible for the successful Integration of new hardware platforms & new infrastructure technologies into the data center. This includes leading the system design for serviceability (DFS) requirements development, and implementation along with validating new data center hardware tooling & automation readiness for deployment at scale.

The ideal candidate has expertise in the introduction of new hardware platforms into data centers and has either developed robust hardware system test plans, or validation planning as a systems engineer supporting AI/ML, compute, storage & network hardware in a data center environment. These skills will be used to develop test plans for the operational integration of future AI/ML, compute, storage, and networking products into the existing software tooling infrastructure. The candidate shall also have good knowledge of the AI/ML system architecture at the block level with hands-on skills to triage systematic failures in the field.

Must-Have Skills

• Knowledge of Hardware Servers
• Test planning and execution
• Error Injection aspect of Hardware

Nice-to-have Skills

• Any advanced understanding of AI/ML
• Networking in a data center environment
• In-depth understanding of architecture from server system perspective

Responsibilities

• Lead new product introduction and associated processes for successfully launching new hardware platforms into our data centers globally.
• Lead architecture reviews with hardware engineering teams to analyze and develop diagnostic coverage plans for both hardware and software
• Lead hardware reviews and drive system Design for Serviceability requirements to ensure form, fit, and function for new hardware development in our existing data center environment/architecture
• Lead the development and execution of Data Center readiness tooling validation testing based on tooling development plans
• Early engagement with design development teams (both internal and external) to drive improvements and influence hardware and tooling architecture
• Collaborate with cross-functional teams & development partners to deliver aligned new hardware platform roadmaps and gain agreement on implementation milestones
• Collaborate with cross-functional partners in the Data Center Operations team to understand infrastructure deployment and operational requirements
• Collaborate with Production Engineers, Hardware Validation Engineers, Tooling Automation Engineers, and Data Center Operations Engineers to build thorough test strategy and test plans for validating the software needed for Data Center Operations
• Work with ODM/OEM vendors as needed to define the product specifications, development plans & test plans
• Capturing lessons learned for issues in Production and creating test cases to address those issues in future hardware platforms
• Experience triaging, testing, developing, and debugging hardware platforms.
• Demonstrated technical skills and experience creating documentation for users of all levels.

Qualifications:

• BS Engineering or commensurate technical experience
• 5+ years of experience in system administration or engineering, hardware validation testing, and/or acceptance testing of AI/ML, compute, storage, or networking equipment
• Experience developing test plans derived from specifications and executing those plans using industry-standard testing tools for successful completion
• Strong technical aptitude demonstrated by familiarity with ASIC, compute, storage & network architecture and components, hardware troubleshooting and diagnosis capabilities, and/or hardware manufacturing
• Experience working in a cross-cultural environment with remote teams
• Experience coding in higher-level languages (e.g., Python, PHP, C++, or Java)
• Experience learning software, frameworks, and APIs
• Experience with operational validation methods and verification activities for the new product integration.
• Build strong cross-functional relationships and influence policies & procedures to improve the integration of hardware platforms into the data center

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