Staff Software Engineer, AI/ML

About the role

MINIMUM QUALIFICATIONS:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in C++, Java, Python, Kotlin or Go.
• Experience in technical leadership, including defining technical road maps,

delivering projects, and maintaining code quality standards.

• Experience in parallel computing paradigms, hardware-level optimization, and

low-level accelerator optimization.

PREFERRED QUALIFICATIONS:

• Master's degree or PhD in a quantitative discipline (e.g., Computer Science,

Physics, Applied Mathematics, or similar).

• 8 years of experience designing, building, and operating large-scale

distributed data systems and production machine learning deployments.

• Experience deploying modern deep learning architectures using frameworks like

PyTorch or TensorFlow on large-scale clusters.

• Experience with cloud-native infrastructure (Docker, Kubernetes) and managing

distributed filesystems and cloud object storage.

• Active, or the ability to obtain, a Secret security clearance.

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.

As a part of the technical Senior AI/ML Software Engineer, you will lead the

architecture and deployment of large-scale distributed data systems and advanced

machine learning pipelines. In this role, you will design infrastructure capable

of analyzing high-throughput data streams. You will bridge the gap between

High-Performance Computing (HPC) and modern AI applications, optimizing complex

inference workloads for specialized hardware accelerators while guiding

cross-functional engineering teams.

Google Public Sector

[https://about.google/intl/ALL_us/public-sector/#:~:text=We're%20committed%20to%20advancing,%2C%20research%2C%20and%20edtech%20companies.]

brings the magic of Google to the mission of government and education with

solutions purpose-built for enterprises. We focus on helping United States

public sector institutions accelerate their digital transformations, and we

continue to make significant investments and grow our team to meet the complex

needs of local, state and federal government and educational institutions.

Individual pay is determined by factors including job-related skills,

experience, and relevant education or training.

US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google

[https://www.google.com/about/careers/applications/benefits/].

RESPONSIBILITIES:

• Architect and operate advanced data synthesis pipelines and AI-based

retrieval applications.

• Manage petabyte-scale data ingestion and synchronization across compute

environments, including local storage, cloud backends, and on-prem resources.

• Optimize highly parallel numerical operations and ML inference algorithms for

specialized hardware accelerators.

• Lead technical direction and provide engineering mentorship for groups

developing complex production software systems.

• Implement rigorous data life-cycle policies to ensure system resilience, data

integrity, and fault recovery at scale.