Software Engineer III, Speech Production, Infrastructure at Google
Mountain View, California, United States -
Full Time


Start Date

Immediate

Expiry Date

23 Aug, 26

Salary

211000.0

Posted On

25 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

C++, Python, Distributed Systems, Large-scale Infrastructure, Data Structures, Algorithms, Automatic Speech Recognition, Natural Language Understanding, Text to Speech, System Design, Networking, Data Storage, Artificial Intelligence, Natural Language Processing, Debugging, Performance Optimization

Industry

Software Development

Description
MINIMUM QUALIFICATIONS: * Bachelor's degree or equivalent practical experience. * 2 years of experience programming in C++ and Python. * 2 years of experience with developing large-scale infrastructure, distributed systems or networks. 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. * Knowledge of speech and language technologies, (e.g., Automatic Speech Recognition (ASR), Natural Language Understanding (NLU), Text to speech (TTS). 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. Speech Production is the team that maintains all the serving infrastructure for serving Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) at scale in Google. ASR and TTS are extensively used throughout Google products including Pixel, Cloud, Assistant, YouTube, and more. This team is the main gateway to Speech Recognition, Speech Synthesis, and other audio services, managing bidirectionally-streaming data between clients and backend pipelines. You will be responsible for building and maintaining the infrastructure that manages these high-throughput, low-latency streams. Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale. The US base salary range for this full-time position is $147,000-$211,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. 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 benefits at Google [https://careers.google.com/benefits/]. RESPONSIBILITIES: * Write product or system development code. * Deliver the engineering milestones for speech production infrastructure, ensuring high reliability and efficiency. * Profile and optimize serving infrastructure to improve utilization and latency, particularly for compute-intensive models. * Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback. * Triage and debug complex system issues in production, analyzing the impact on service operations to ensure stability for partners like Search, Assistant and YouTube, among others.
Responsibilities
Develop and maintain high-throughput, low-latency serving infrastructure for speech recognition and synthesis services. Responsibilities include writing system code, optimizing compute-intensive models, and debugging complex production issues.
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