Tech Lead Manager, Staff Software Engineering, XProf

Google LLC

Sunnyvale, CA

JOB DETAILS
SKILLS
Analysis Skills, Android, Artificial Intelligence (AI), Artificial Intelligence (AI) Natural Language, Budget Management, C++ Programming Language, Cloud Computing, Commodity Management, Computer Architecture, Computer Firmware, Computer Science, Continuous Improvement, Cross-Functional, Data Analysis, Data Collection, Data Compression, Debugging Skills, Disk Management, Distributed Computing, Embedded Systems, Engineering Management, English Language, Equal Employment Opportunity (EEO), Facilities Management, Genetics, Hard Drives, Information Retrieval, Large-Scale Systems, Leadership, Machine Learning, Machine Tool, Manufacturing, Memory Hardware, Natural Language Processing (NLP), Network Operations Center, Network Security Design, Open Source, Operations Research, People Management, Process Improvement, Product Management, Product Strategy, Project/Program Management, Python Programming/Scripting Language, Quality Engineering, Recruiting/Staffing Agency, Regulatory Requirements, Reliability Engineering, Sales Management, Software Development, Software Engineering, Stock Purchase Plans, Structural Engineering, Tape Backup, Team Lead/Manager, Technical Leadership, Technical Support, Use Cases, User Interface Design, Workflow Analysis
LOCATION
Sunnyvale, CA
POSTED
3 days ago

Tech Lead Manager, Staff Software Engineering, XProf - Google Careers

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Tech Lead Manager, Staff Software Engineering, XProf

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Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain.

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Minimum qualifications:

  • Bachelor's degree or equivalent practical experience.

  • 8 years of experience in software development.

  • 5 years of experience in programming, debugging, computer architecture, and C++.

  • 3 years of experience in a technical leadership role.

  • Experience in a people management, supervision/team leadership role.

Preferred qualifications:

  • Master's degree or PhD in Engineering, Computer Science, or a related technical field.
  • Experience with Python, standard ML, high-performance computing, and embedded systems.
  • Background in machine learning, accelerator architectures (driver/run times), or related fields.

About the job

Like Google"s own ambitions, the work of a Software Engineer goes 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.

In this role, you will have unique and exciting opportunity to work at the "heart of machine learning" and learn about basic to advanced ML paradigms for training/inference while delivering impact across different compute infrastructure, Cloud, and Open Source environments. You will focus on hardware/software interactions with accelerators (current and chips under design) and integration with the rest of the profiling system.

The AI and Infrastructure team is redefining what's possible. We empower Google customers with breakthrough capabilities and insights by delivering AI and Infrastructure at unparalleled scale, efficiency, reliability and velocity. Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide.

We"re the driving team behind Google"s groundbreaking innovations, empowering the development of our cutting-edge AI models, delivering unparalleled computing power to global services, and providing the essential platforms that enable developers to build the future. From software to hardware our teams are shaping the future of world-leading hyperscale computing, with key teams working on the development of our TPUs, Vertex AI for Google Cloud, Google Global Networking, Data Center operations, systems research, and much more.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $207000 - $301000 (USD) + 20% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Be focused around driving continuous improvements to the machine learning software/hardware stacks through providing insightful performance debugging. Provide insights by summarizing different views of captured profile data such as trace timelines, memory usage, HLO profiles, ML graph summaries.

  • Learn and build an intuitive understanding of existing data collection, analysis, and visualization workflows.

  • Support new and exciting ML paradigms (such as horizontal scaling for upcoming TPU chips) by making contributions across the end to end stack and analysis tools.

  • Partner with product area leads to understand model optimization use cases, drive cross functional efforts to deliver on chip profiling requirements, and propose new hardware features.

  • Collaborate across Hardware, Driver, Runtime, and Performance Analysis teams and many other stakeholders.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google"s Applicant and Candidate Privacy Policy.

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.

If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form.

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.

To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

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.

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