Software Engineer, Systems Research, PhD, Early Career
About the role
Researchers across Google are working to advance the state of the art in computing and build the next generation of intelligent systems for all Google products. To achieve this, we invest in foundational research and work on projects that utilize the latest computer science techniques developed by skilled software developers and research scientists. Whether we're shaping the future of sustainability, optimizing algorithms, or pioneering AI systems, our teams strive to continuously progress science, advance society, and improve the lives of billions of people.
The AI and Infrastructure team is redefining what’s possible. We empower 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.
Responsibilities
- Explore emerging technologies and systems as an individual contributor in the research and development team.
- Participate in team projects to carry out system design, analysis, and building of prototypes to demonstrate advantages and reveal challenges of these technologies for a broad range of applications in the data center and modern Cloud environments, including machine learning.
- Create strategies that will lead to innovative projects and follow-on products for the future.
- Operate across research and engineering teams in order to influence products or integrate research results into products.
Qualifications
- Minimum qualifications: PhD degree in Computer Science, or a related technical field, or equivalent practical experience.
- Experience coding in one of the following programming languages including but not limited to: C, C++, Java, JavaScript, Python, or Golang.
- Research experience in an area of computer systems design and implementation.
- Preferred qualifications: PhD degree in Computer Science, Computer Engineering, Electrical Engineering, or a related field.
- Experience in Research areas such as storage systems, memory systems, distributed systems and networks, novel I/O systems, computer architecture and accelerators, databases and analytics, cloud computing, sustainability, privacy, or other emerging technologies.
- Experience in authoring/co-authoring of papers in venues in the systems field (e.g., SOSP, OSDI, ISCA, ASPLOS, MICRO, ASPLOS, PLDI, SIGCOMM, NSDI, SIGMOD, etc.).
- Experience in systems for Machine Learning (ML).
- Experience designing and implementing an experimental system in a research or product development environment.
Pay
US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits
Schedule
Not specified
Benefits
- Health, dental, vision, life, disability insurance
- Retirement Benefits: 401(k) with company match
- Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
- Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
- Maternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks
- Baby Bonding Leave: 18 weeks
- Holidays: 13 paid days per year
Equal Opportunity Employer
Google is 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.