Staff Software Engineer, AI/ML, Google Public Sector

Google LLC

Reston, VA

JOB DETAILS
SKILLS
Algorithms, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Business Strategy, C++ Programming Language, Channel Strategies, Cloud Computing, Cloud Storage, Computer Hardware, Computer Science, Computer Skills, Computer Systems, Cross-Functional, Data Management, Data Quality, Data Storage, Deep Learning, Distributed Computing, Docker, Engineering Management, English Language, Equal Employment Opportunity (EEO), Federal Government, Field Sales, File Systems, Genetics, Go Programming Language (Golang), Government, High Throughput, Information Retrieval, Information/Data Security (InfoSec), Internet Search, Japanese Language, Java, Kotlin, Large-Scale Systems, Leadership, Machine Learning, Mathematics, Mentoring, Natural Language Processing (NLP), Network Design, Parallel Computing, Physics, Product Management, Production Machining, Production Systems, Project/Program Management, Python Programming/Scripting Language, Quality Management, Quality Metrics, RCS (Revision Control System), Recruiting/Staffing Agency, Regulatory Requirements, Sales, Sales Management, Secret Clearance, Security Clearance, Software Development, Software Engineering, State Government, Technical Leadership, Technical Support, User Interface Design
LOCATION
Reston, VA
POSTED
23 days ago

Staff Software Engineer, AI/ML, Google Public Sector - Google Careers

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Staff Software Engineer, AI/ML, Google Public Sector

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corporate_fareGoogleplaceReston, VA, USA; Washington D.C., DC, USA

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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XNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Reston, VA, USA; Washington D.C., DC, USA.

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.

We are seeking a technical Senior AI/ML Software Engineer to 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 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.

The US base salary range for this full-time position is $207,000-$300,000 + 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

  • 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.

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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