Software Engineer, ML Fabric Deployment Acceleration

Software Engineer, ML Fabric Deployment Acceleration Location: New York, NY, USA

Experience Level: Mid

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Minimum Qualifications:

• Bachelor's degree or equivalent practical experience.
• 2 years of experience with coding in C++ and Python, or 1 year of experience with an advanced degree.
• 2 years of experience with test frameworks.

Preferred Qualifications:

• Master's degree or PhD in Computer Science, or a related technical field.
• 2 years of experience with ITS SUT.
• Experience developing Integration test frameworks.

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 Google's 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. In this role, you will be focused on enabling faster, more scalable, and smoother network deployment processes by providing core integration test infrastructure and supporting other teams in using the framework to create and maintain integration tests.

Compensation

• Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
• US Salary: $147,000 - $210,000 (USD) + 15% bonus target + equity + benefits
• Learn more about benefits at Google.

Responsibilities

• Own software development through planning, design, development, testing, maintenance, and improvements.
• Work closely with other PLANET/PIE and cross-functional teams on API designs/system integrations and gathering requirements.
• Develop core infrastructure used by external teams, and support system integration testing for network deployment automation.
• Support delivery of critical network programs to deliver next-generation ML systems.
• Manage individual project priorities, deadlines and deliverables.

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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.

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Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc.

Alphabet

Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

Locations: Google, New York, NY, USA

Experience Level: Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.