Hardware Performance Test Engineer
Job Summary
Job Description
- Bachelor's degree in relevant field or equivalent experience
- 4+ years hardware development lab experience or 3+ years with advanced degree
- 3+ years experience with Linux and Python scripting
- Experience with hardware evaluation methodologies
- Excellent communication and coordination skills
- Experience with Unix operating systems and shell scripts
- Experience in multiple hardware test disciplines
- Knowledge of computer systems (physical, functional, logical, etc.)
- Ability to read technical drawings
- Bonus
- Equity
- Benefits
10 skills required
Job Details
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.
- 4 years of experience working in a hardware development lab technical environment, or 3 years of experience with an advanced degree.
- 3 years of experience with Linux and software scripting languages (i.e., Python).
- Experience with hardware evaluation methodologies, including lab measurements, performance monitoring, test automation, and data analysis.
Preferred qualifications:
- Experience with Linux or other Unix operating systems (e.g., Ubuntu or RHEL) and shell scripts.
- Experience in more than one discipline related to hardware test, hardware qualification, and manufacturing (i.e., signal integrity, power circuit testing, optical testing, network testing, scripting, and hardware test automation).
- Knowledge of computer systems (e.g., physical, functional, logical, mechanical, electrical, software, thermal, etc.).
- Ability to read and understand technical drawings such as schematics, datasheets, and written work instructions.
- Excellent written and verbal communication skills, with the ability to coordinate and manage the needs of multiple lab users.
About the job
As a Hardware Performance Test Engineer, you will support a team of hardware design, test, and qualification engineers who are responsible for prototype bring-up, validation, qualification, and failure analysis of server-related technologies (e.g., CPU, DDR memory, storage, and high-speed interconnects). You will be responsible for liaison between Hardware Engineering teams and the lab team to ensure lab resources are accounted for and to ensure we are lab-ready for new products entering the Research and Development (R&D) labs and/or sustaining efforts. You will help manage lab budget, hiring, performance management, and the well-being of the team as well as ensuring the labs are well organized and provide a safe working environment.
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.
The US base salary range for this full-time position is $147,000-$216,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.
Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about .
Responsibilities
- Support various hardware prototype bring up and qualification testing activities by developing Python automation test script to facilitate system performance regression testing and failure reproduction.
- Design robust network, power, and cooling infrastructure for high and medium touched labs with remote control functionality.
- Drive development of software and infrastructure required for managing a fleet of test systems at scale to avoid manual configuration and test execution. Develop quality data collection systems and visualization of the data (i.e., measurements).
- Provide integrated software to synchronize test execution on Device-under-Test (DUT) with external smart measurement instrumentation.
- Support a team of hardware designers, qualification and test engineers, on project planning within hardware development labs, and ensure adequate resources are met.
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