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Google
Software Engineer, Pixel Test Engineering/AI Application
Career Insights for Application Developer / Engineer
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Based on California data
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What they do
An Application Developer or Engineer designs or improves applications software. Oversees the entire applications development process. Analyzes customer or user needs, designs programs, writes code or instructs computer programmers, tests design, and documents programs. May assist with upgrades or maintenance.
$127,673 / year median in California
-9% projected decline
Job Description
Software Engineer, Pixel Test Engineering/AI Application share Share Software Engineer, Pixel Test Engineering/AI Application link Copy link email Email a friend corporate_fare Google place Mountain View, CA, USA bar_chart Mid Mid Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area. Apply share Share Software Engineer, Pixel Test Engineering/AI Application link Copy link email Email a friend info_outline X In most instances, this position requires in-person interviews as part of the hiring process.
The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
Minimum qualifications:
Bachelor's degree or equivalent practical experience. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. 1 year 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. 1 year of experience with ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).Preferred qualifications:
Master's degree or PhD in Computer Science or related technical fields. 2 years of experience with data structures and algorithms. Experience developing accessible technologies. 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. We are seeking a motivated and experienced software engineer to be a key contributor in building and owning our cutting-edge, cross-device test infrastructure. In this role, you will play a crucial part in transforming our software development lifecycle, empowering our test engineers and developers to achieve faster release cycles and higher quality software. You will leverage your deep technical skills to construct robust, scalable test systems and explore and implement AI-powered automation to drive efficiency and innovation.The Platforms and Devices team encompasses Google's various computing software platforms across environments (desktop, mobile, applications), as well as our first party devices and services that combine the best of Google AI, software, and hardware. Teams across this area research, design, and develop new technologies to make our user's interaction with computing faster and more seamless, building innovative experiences for our users around the world.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.