Staff Software Engineer, AI/ML, Google Public Sector
Reston, Virginia, United States · On-site
$207k–$300k/yr
Senior$26M raised
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$150k–$175k/yr
Senior+
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Reston, Virginia, United States · Remote OK
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$207k–$300k/yr
Full-time
bachelor degree, postgraduate degree
Bonus, Equity, Health Insurance
Posted 6d ago
~40 hrs/week
Responsibilities
The engineer will lead the architecture and deployment of large-scale distributed data systems and advanced machine learning pipelines. They are responsible for optimizing inference workloads for specialized hardware and managing petabyte-scale data ingestion.
Requirements
Candidates must have at least 8 years of programming experience in languages like C++, Java, or Python and possess strong technical leadership skills. A bachelor's degree is required, with a preference for advanced degrees in quantitative disciplines and experience with cloud-native infrastructure.
Full job description
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 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.
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
Check out our career opportunities at goo.gle/3DLEokh
Offices: 1600 Amphitheatre Parkway, Mountain View, CA 94043, US · 111 8th Ave, New York, NY 10011, US · Claude Debussylaan 34, Amsterdam, North Holland 1082 MD, NL · Avenida Brigadeiro Faria Lima, 3477, Sao Paulo, SP 04538-133, BR · 51 Breithaupt St, Kitchener, ON N2H 5G5, CA
How much do Data & Analytics jobs in Reston, VA pay?
Based on 267 listings with disclosed salaries, most data & analytics jobs in Reston, VA pay between $80k–$207k per year. Individual offers vary with seniority, company size, and specialization.
How many Data & Analytics jobs are open in Reston, VA right now?
There are currently 359 open data & analytics positions in Reston, VA listed on Clera. New openings are added daily as companies post roles.
Which companies are hiring for Data & Analytics roles in Reston, VA?
Companies currently hiring include ICF Next, CACI International Inc, Inadev India, Booz Allen Hamilton, CapTech, among others. Browse the listings above to see every active employer.
Are there remote or hybrid Data & Analytics jobs in Reston, VA?
Yes — 188 of the 359 open data & analytics positions offer remote or hybrid work (67 remote, 121 hybrid).
How do I apply for Data & Analytics jobs in Reston, VA?
Each listing links directly to the employer's application page. Apply early — fresh listings get the most recruiter attention in the first two weeks.