Software Engineer, ML Fabric Deployment Acceleration

Google; New York (NY); On-site; USD 147,000 - 211,000; Full time

Job summary

Google in New York, NY is seeking a Software Engineer for ML Fabric Deployment Acceleration to design, implement, and optimize deployment pipelines, enabling faster, more scalable ML model rollouts and robust integration tests.

You will build core infrastructure used by cross‑functional teams, partner on API designs and system integrations, and mentor junior engineers while advancing next‑generation ML systems and automation capabilities.

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.
• 1 year of experience with distributed computing.

Responsibilities

• Own software development through planning, design, development, testing, maintenance, and improvements.
• Work closely with other PLANET 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.

Skills

C++

Python

Distributed computing

Education

Bachelor's degree or equivalent practical experience

Master's degree or PhD in Computer Science or related field

Job description

Software Engineer, ML Fabric Deployment Acceleration

Google

New York, NY, USA

Mid

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

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.
• 1 year of experience with distributed computing.

Preferred qualifications:

• Master's degree or PhD in Computer Science, or a related technical field.
• Experience developing Integration test frameworks.

About the job

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.

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

• Own software development through planning, design, development, testing, maintenance, and improvements.
• Work closely with other PLANET 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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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.