Minimum qualifications:
- Bachelor’s degree or equivalent practical experience.
- 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
- 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.
Preferred qualifications:
- Master's degree or PhD in Computer Science, or a related technical field.
- 1 year of experience in a technical leadership role.
- Experience with Graphics Processing Unit (GPU) architecture, Compute Unified Device Architecture (CUDA) development, and GPU kernel performance optimization.
- Experience in machine learning.
- Experience developing accessible technologies.
- Familiarity with CUDA Profiling Tools Interface (CUPTI) libraries.
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.
With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
In this role, you will collect and analyze profile data and provide expert-level visualizations and user actionable advice.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
- Learn and build an intuitive understanding of existing data collection, analysis, and visualization workflows.
- Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
- Support new and exciting Machine Learning (ML) paradigms such as horizontal scaling for upcoming Tensor Processing Unit (TPU) chips by making contributions across the 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 with many other stakeholders.
Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
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