Staff Software Engineer, Google Cloud ML Ninja
About the job
SummaryBy Outscal
- Bachelor's degree or equivalent practical experience
- 8 years of experience in software development
- 5 years of experience testing and launching software products
- 3 years of experience with software design and architecture
- Experience with data structures/algorithms
- Experience with relevant technologies (e.g., Tensorflow/PyTorch)
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field
- 3 years of experience in a technical leadership role leading project teams and setting technical direction
- 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects
Minimum qualifications:
- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development, and with data structures/algorithms.
- 5 years of experience testing, and launching software products, and 3 years of experience with software design and architecture.
Preferred qualifications:
- Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
- 3 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional or cross-business projects.
- Experience with relevant technologies (e.g., Tensorflow/PyTorch).
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.
As a Staff Software Engineer on the Google Cloud ML Ninja team, you'll play a critical role in helping our customers unlock the full potential of AI/ML on Google Cloud. You'll be a technical leader and customer advocate, designing, building, and optimizing cutting-edge AI solutions. You'll dive deep into complex performance challenges, troubleshoot intricate issues, and guide customers towards success. This role offers the opportunity to make a significant impact on the rapidly evolving field of AI, while leading and mentoring a team of talented engineers.
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.
The US base salary range for this full-time position is $189,000-$284,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position across all US locations. 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 .
Responsibilities
- Design, build, and optimize end-to-end AI/ML solutions, including large-scale models, for customer workloads on Google Cloud.
- Act as a strong advocate for customers, driving solutions to their challenges and influencing product roadmaps.
- Transfer knowledge and solutions to internal teams to ensure seamless customer support.
- Lead and mentor the GCE AI Ninja team, fostering a collaborative and high-performing environment.
- Manage project priorities, deadlines, and deliverables.
About The Company
A problem isn't truly solved until it's solved for all. Googlers build products that help create opportunities for everyone, whether down the street or across the globe. Bring your insight, imagination and a healthy disregard for the impossible. Bring everything that makes you unique. Together, we can build for everyone.
