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Software Engineer, TPU Host Networking
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corporate_fareGoogleplaceSunnyvale, CA, USA
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Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.
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Minimum qualifications:
Bachelors degree or equivalent practical experience.
2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage or hardware architecture.
2 years of experience with networking protocols and troubleshooting.
2 years of experience working in C++.
Preferred qualifications:
2 years of experience with data structures and algorithms.
2 years of experience with performance optimization.
2 years of experience with networking protocols.
Experience developing accessible technologies.
Experience in network infrastructure.
Experience with machine learning infrastructure.
About the job
Google"s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We"re looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Googles needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
Tensor Processing Units (TPU) are Googles custom-built Application-Specific Integrated Circuits used to accelerate machine learning (ML) workloads. TPU are designed from the ground up leveraging Googles deep experience and leadership in ML Learning.
As a team member in Tensor Processing Unit Host Networking, you will play a leading role in the design, development, testing, deployment, and debugging of the TPU networking stack, from hardware (Tensor Processing Unit, Network Interface Controller) all the way up to ML frameworks (JAX, PyTorch) to enable both large-scale training and low-latency inference applications.
Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $147,000-$211,000 + 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 benefits at Google.
Responsibilities
Write product or system development code.
Design, develop, test and deploy TPU networking stack.
Perform full-stack cross-layer optimization of TPU networking performance for a variety of ML workloads.
Analyze and debug TPU networking performance issues in production.
Develop and enhance telemetry to provide deep visibility into network behavior and accelerate troubleshooting.
Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.
Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google"s EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
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