Minimum qualifications:
Preferred qualifications:
About the job
In this role, you’ll work to shape the future of AI/ML hardware acceleration. You will have an opportunity to drive cutting-edge TPU (Tensor Processing Unit) technology that powers Google’s most demanding AI/ML applications. You’ll be part of a diverse team that pushes boundaries, developing custom silicon solutions that power the future of Google’s TPU. You’ll contribute to the innovation behind products loved by millions worldwide, and leverage your design and verification expertise to verify complex digital designs, with a specific focus on TPU architecture and its integration within AI/ML-driven systems.
As a ASIC Design Verification Engineer, you will be part of a team developing ASICs used to accelerate computation in data centers. You will have responsibilities in areas such as project definition, design verification, and silicon bringup. You will participate in the architecture, documentation, and verification of the next generation of data center accelerators.
Behind everything our users see online is the architecture built by the Technical Infrastructure team to keep it running. From developing and maintaining our data centers to building the next generation of Google platforms, we make Google’s product portfolio possible. We’re proud to be our engineers’ engineers and love voiding warranties by taking things apart so we can rebuild them. We keep our networks up and running, ensuring our users have the best and fastest experience possible.
The US base salary range for this full-time position is $127,000-$187,000 bonus equity benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 benefits at Google .
Responsibilities
NVIDIA’s GPU runs Deep Learning algorithms, simulating human intelligence, and acts as the brain of computers, robots and self-driving cars...
How to applyProject Role : AI / ML EngineerProject Role Description : Develops applications and systems that utilize AI to improve performance...
How to applyHey there! Are you an ambitious Senior Machine Learning engineer? Do you want to use your data science and engineering...
How to applyJoin Tether and Shape the Future of Digital FinanceAt Tether, we’re not just building products, we’re pioneering a global financial...
How to applyWe help the world run better At SAP, we enable you to bring out your best. Our company culture is...
How to applyIf you’re a professional who works with text, we have an exciting opportunity to use your writing, editing, technical, and...
How to apply