Software Engineer, PhD, Early Career, Campus, Machine Learning, Systems and Cloud AI, 2025 start

Job Description

Position: Software Engineer, PhD, Early Career, Campus, Machine Learning, Systems and Cloud AI, 2025 startLocations: Kirkland, WA, USA; Seattle, WA, USA; Sunnyvale, CA, USAExperience: MidSummary: Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.Note: By applying to this position, you will have an opportunity to share your preferred working location from the following: Kirkland, WA, USA; Seattle, WA, USA; Sunnyvale, CA, USA.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.

Preferred Qualifications:

• Experience in designing, developing, or applying ML/AI systems or applications in a large-scale distributed environment.
• Experience with performance, reliability, systems data analysis, visualization tools, architecture, compilers, database, data mining, networking or systems.
• Experience with Unix/Linux, Kernel development, microcontrollers, SoC, device drivers, hardware, power management, ARM processors, performance optimization, file systems, bootloading, firmware, x86 assembly, system BIOS, or hardware/software integration.
• Ability to start full-time role in 2025.

About the JobGoogle Clouds software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Were 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 Clouds needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve.You will anticipate our customer needs and be empowered to act like an owner, take action, and innovate. 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.As part of MSCA (Machine Learning, Systems and Cloud AI), you will have the opportunity to be a part of an organization that delivers category-defining AI/ML solutions and capabilities, developed and powered by Google Services, Frameworks, and Infrastructure, supporting customers around the world. Googles 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 a massive scale. Youll be at the forefront of innovation, developing cutting-edge solutions in AI, machine learning, distributed computing, and more. As a new PhD graduate, your research expertise is invaluable to us. Join the ML Systems and Cloud AI organization and apply your knowledge to real-world problems that scale to billions of users. Explore a variety of projects, collaborate with teams, and contribute to products that are changing the world.Our engineering teams include thousands of PhDs who bring their deep knowledge and research experience to enhance our systems and products. As a Google PhD Software Engineer, you will work on a specific project critical to MSCAs needs with opportunities to switch teams that follow your interests. We need our engineers to be creative and versatile, display leadership qualities, and be enthusiastic to take on new problems as we continue to push technology forward.Google is one of the worlds leading suppliers and consumers of ML and AI technology, with decades of experience in designing, deploying, and using machine learning (ML) software and custom ML hardware infrastructure at massive scales.Learn more about us here! Google Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Googles 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.SalaryThe US base salary range for this full-time position is $141,000-$202,000bonusequitybenefits. 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.Responsibilities

• Lead and collaborate on team projects to carry out design, analysis, and development of advanced Machine Learning (ML) systems across the stack using your research expertise.
• Study, diagnose and resolve complex technical modeling and systems issues by analyzing the sources of the issues and the impact on quality.
• Develop code and review code developed by other developers, and provide feedback to ensure best practices (e.g., style guidelines, accuracy, testability, and efficiency).

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit, is subject to Googles 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 Googles 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.

Keyskills :
machine learning development cloud computing expertise programming languages proficiency systems analysis skillsai research experiencedevice drivers compilers artificial intelligence java python javascript unix/linux data mining storage