Senior Staff Software Engineer, Gemini AI
Google Switzerland GmbH
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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. The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of
bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems
focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI
and share findings with the broader research community. We also collaborate with product teams to bring innovations to
real-world impact that benefits our customers.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model
deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with design and architecture; and testing/launching software products.
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding
to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in
another ML field.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a changing organization involving cross-functional, or cross-business projects.
- Design, develop, test, deploy, maintain, and enhance software solutions.
- Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed
team of engineers.
- Drive technical project strategy, lead ML infrastructure optimization, and oversee the design and implementation of
solutions across multiple specialized ML areas.
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. The Google Cloud AI Research team addresses AI challenges motivated by Google Cloud’s mission of
bringing AI to tech, healthcare, finance, retail and many other industries. We work on a range of unique problems
focused on research topics that maximize scientific and real-world impact, aiming to push the state-of-the-art in AI
and share findings with the broader research community. We also collaborate with product teams to bring innovations to
real-world impact that benefits our customers.
Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience leading technical project strategy, ML design, and optimizing ML infrastructure (e.g., model
deployment, model evaluation, data processing, debugging, fine tuning).
- 5 years of experience with design and architecture; and testing/launching software products.
- 5 years of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding
to the human voice), reinforcement learning (e.g., sequential decision making), ML infrastructure, or specialization in
another ML field.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures/algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a changing organization involving cross-functional, or cross-business projects.
- Design, develop, test, deploy, maintain, and enhance software solutions.
- Provide technical leadership on high-impact projects. Manage project priorities, deadlines, and deliverables.
- Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed
team of engineers.
- Drive technical project strategy, lead ML infrastructure optimization, and oversee the design and implementation of
solutions across multiple specialized ML areas.