Software Engineer Manager, Gemini Application Programming Interface

Key Skills

API, C++, Generative AI, JavaScript, Large Language Models - LLMs, Machine learning techniques, Python Programming, UI design, UX design

Job Description

Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 8 years of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
• 5 years of experience in a technical leadership role; overseeing projects, with 5 years of experience in a people management, supervision/team leadership role.

Preferred qualifications:

• Master degree in Computer Science or related technical field.
• 5 years of experience with software development in one or more programming languages (e.g., C++, Java, Python).
• 2 years of experience building products or features that utilize machine learning models through the full cycle of data collection, model development, and deployment.
• 2 years of experience managing a team.
• Experience with innovative ideas and execution.
• Experience with cross-functional collaboration.

About the job

Like Google's own ambitions, the work of a Software Engineer goes way beyond just Search. Software Engineering Managers have not only the technical expertise to take on and provide technical leadership to major projects, but also manage a team of engineers. You not only optimize your own code but make sure engineers are able to optimize theirs. As a Software Engineering Manager you manage your project goals, contribute to product strategy and help develop your team. Teams work all across the company, in areas such as information retrieval, artificial intelligence, natural language processing, distributed computing, large-scale system design, networking, security, data compression, user interface design; the list goes on and is growing every day. Operating with scale and speed, our exceptional software engineers are just getting started -- and as a manager, you guide the way.

With technical and leadership expertise, you manage engineers across multiple teams and locations, a large product budget and oversee the deployment of large-scale projects across multiple sites internationally.

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.

Responsibilities

• Build reliable and scalable infrastructure and APIs to allow external and internal developers to leverage Google AI models and solutions.
• Leverage Google AI Studio for development and experimentation using the Gemini API.
• Understand developers of Large Language Models based applications and shape the tools and interfaces to allow them to build their solutions.
• Build production-scale features to productionize new generative AI technical stack while also designing and building available and low latency online serving systems for first-party AI models.
• Collaborate with partners product areas/teams to advance LLM techniques, and realize product impact.