Software Engineer, AI Application Engineering, Silicon

Google Inc.; Mountain View (CA); On-site; USD 147,000 - 210,000; Full time

Job summary

Google Mountain View, CA, USA is seeking a Software Engineer for AI Application Engineering in Silicon, at mid level, to drive progress, solve problems, and mentor junior team members while applying ML and AI techniques to multimedia workloads.

Join a versatile team that designs toolchains, ML pipelines, and edge deployments on Google Cloud and devices; contribute to architectures and optimization for latency and performance.

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, reinforcement learning, ML infrastructure, or specialization in another ML field.
• 1 year of experience with ML infrastructure (model deployment, model evaluation, data processing, debugging).

Responsibilities

• Design and develop robust toolchains to support and accelerate multimedia AI activities.
• Develop specialized AI agents and orchestration architectures to work together on complex goals.
• Implement, deploy, and scale multimedia ML pipelines across Google Cloud and edge devices.
• Optimize machine learning models for improved performance, latency, and deployment efficiency.

Skills

Software development

ML fundamentals

Mentoring teammates

Education

Bachelor’s degree or equivalent

Tools

ML infrastructure

Job description

Software Engineer, AI Application Engineering, Silicon

Google Mountain View, CA, USA

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

• 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, Artificial Intelligence, Machine Learning, or a related field.
• Experience with multimedia applications, video processing, or computer vision ML tasks.
• Experience building and scaling ML pipelines on cloud infrastructure (e.g., Google Cloud Platform) and deploying optimized models to edge devices (e.g., mobile, embedded systems).
• Experience with model optimization techniques for performance and latency reduction (e.g., quantization, pruning, hardware‑aware tuning).
• Familiarity with AI agent architectures, large language models (LLMs), or orchestration systems (e.g., LangChain, AutoGen).
• Strong understanding of distributed systems, system architecture, and toolchain development for engineering teams.

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.

Our AI engineering mission is to accelerate multimedia innovation from concept to silicon. We achieve this by building reliable toolchains, rapidly prototyping ML pipelines, and developing agentic multimedia verification workflows that validate our solutions for next-generation chips.

Google's mission is to organize the world's information and make it universally accessible and useful. Our team combines the best of Google AI, Software, and Hardware to create radically helpful experiences. We research, design, and develop new technologies and hardware to make computing faster, seamless, and more powerful. We aim to make people's lives better through technology.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

• Design and develop robust toolchains to support and accelerate multimedia AI activities.
• Develop specialized AI agents and orchestration architectures to work together seamlessly on complex goals.
• Implement, deploy, and scale multimedia Machine Learning (ML) pipelines across Google Cloud and edge devices.
• Optimize machine learning models for improved performance, latency, and deployment efficiency.

Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire .

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.