Senior Software Engineer, AI Infrastructure
About the job
SummaryBy Outscal
- Bachelor's degree or equivalent practical experience
- 5 years of experience with software development
- 5 years of experience coding in C, C++, Java, or Python
- 3 years of experience testing, maintaining, or launching software products
- 1 year of experience with software design and architecture
- 3 years of experience with ML infrastructure
- 3 years of experience with speech/audio, reinforcement learning, ML infrastructure, or specialization in another ML field
- Master's degree or PhD in Computer Science or related technical field
- Experience developing accessible technologies
- Experience with machine learning infrastructure and workflows
- Knowledge of graph algorithms and graph databases
- Knowledge of data lineage concepts
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
- 5 years of experience coding in C, C++, Java, or Python.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
- 3 years of experience with ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging).
- 3 years of experience with speech/audio (e.g., technology duplicating, responding to voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in another ML field.
Preferred qualifications:
- Master's degree or PhD in Computer Science or related technical field.
- Experience developing accessible technologies.
- Experience with machine learning infrastructure and workflows.
- Knowledge of graph algorithms and graph databases.
- Knowledge of data lineage concepts.
About the job
Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
The US base salary range for this full-time position is $161,000-$239,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. 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 .
Responsibilities
- Design, develop, and maintain software components for AI lineage collection, processing, and analysis.
- Analyze AI workflows to identify gaps in lineage data and propose solutions.
- Collaborate with engineers from other teams to integrate lineage collection into existing and new AI infrastructure.
- Develop tools and systems to summarize, visualize, and query lineage data.
- Contribute to the design and implementation of scalable and reliable data processing pipelines, participate in code reviews, and contribute to improving engineering best practices.
About The Company
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.
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