Hardware Validation Lab Engineer, Google Cloud

Minimum qualifications:

• Bachelor’s degree in Electrical Engineering, Computer Engineering, Computer Science, Physics, or a specialized field (e.g., Optics, Sensors, Audio/DSP, etc.), or equivalent practical experience.
• 2 years of experience working in a hardware engineering technical environment, or 1 year of experience with an advanced degree.
• Experience with Linux, networking, network troubleshooting, failure diagnosis, data center server, debugging/troubleshooting.

Preferred qualifications:

• Experience in working within a data center or networking operation center environment.
• Understanding of computer systems: physical, functional, logical, mechanical, electrical, software, thermal etc.
• Understanding of network design, protocols, and troubleshooting.
• Ability to read and write code in Python or scripting language.
• Excellent time management skills with an ability to manage constant priority changes and deadlines.
• Excellent written and verbal communication skills.

Responsibilities

• Help design and build system-level testbeds and maintain lab space, tools and infrastructure.
• Work with teams to develop software and hardware systems and develop methodologies and tools to support team members.
• Coordinate the interactions between labs and engineering.
• Resolve challenges by applying knowledge and skills, escalating design, manufacturing and product test issues to other people within the organization when appropriate.
• Generate implementation plans and provide technical expertise and guidance during deployment activities.

About the job

In this role, you will support new product engineering and development in Google’s hardware Research and Development labs by helping to design, build, and maintain system-level testbeds (think data center-scale). Our engineering lab team performs work that allows product development teams to focus on development.

The ML, Systems, & Cloud AI (MSCA) organization at Google designs, implements, and manages the hardware, software, machine learning, and systems infrastructure for all Google services (Search, YouTube, etc.) and Google Cloud. Our end users are Googlers, Cloud customers and the billions of people who use Google services around the world.

We prioritize security, efficiency, and reliability across everything we do - from developing our latest TPUs to running a global network, while driving towards shaping the future of hyperscale computing. Our global impact spans software and hardware, including Google Cloud’s Vertex AI, the leading AI platform for bringing Gemini models to enterprise customers.