
Organizing the world's information and making it universally accessible.
Software Engineer, AI Infrastructure
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Design and develop components of scalable machine learning and agentic AI infrastructure for manufacturing.
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Maintain and improve existing AI platforms for support of advanced automatic optical inspection.
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Develop and operate scalable back-end for online machine learning model serving and online inference.
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Develop advanced data collection back-end and investigative portal for advanced manufacturing insights.
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Write design documents and participate in design reviews.
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 take ownership of improving and scaling our existing Automated Optical Inspection (AOI) systems. This involves optimizing large-scale data pipelines, improving model-serving performance, and ensuring the high reliability of infrastructure that is critical to production. You will be a key contributor to our next-generation initiatives in agentic AI helping to design and build new intelligent systems that can autonomously reason, diagnose failures, and drive operational decisions, directly impacting efficiency and output.
Google's mission is to organize the world's information and make it universally accessible and useful. Our Devices & Services team combines the best of Google AI, Software, and Hardware to create radically helpful experiences for users. We research, design, and develop new technologies and hardware to make our user's interaction with computing faster, seamless, and more powerful. Whether finding new ways to capture and sense the world around us, advancing form factors, or improving interaction methods, the Devices & Services team is making people's lives better through technology.
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Bachelor's degree in Electrical Engineering, Computer Science, a relevant technical field, or equivalent practical experience.
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2 years of experience with software development in one or more programming languages (e.g., C++/C, Java, Python, JavaScript).
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1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, model serving, data processing, debugging, fine tuning) or agentic AI development.
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Google 소개

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
직원 수
Mountain View
본사 위치
$1,700B
기업 가치
리뷰
10개 리뷰
4.5
10개 리 뷰
워라밸
3.2
보상
4.3
문화
4.1
커리어
4.2
경영진
3.8
82%
지인 추천률
장점
Great benefits and perks
Innovative and interesting work
Career development and learning opportunities
단점
High pressure and expectations
Long hours and heavy workload
Fast-paced and overwhelming environment
연봉 정보
57,503개 데이터
Mid/L4
Mid/L4 · Accessibility Analyst
1개 리포트
$214,500
총 연봉
기본급
$165,000
주식
-
보너스
-
$214,500
$214,500
면접 후기
후기 9개
난이도
3.4
/ 5
소요 기간
14-28주
합격률
44%
경험
긍정 0%