[Remote/WFM] Google Jobs (Enterprise Customer Engineer)

Build your professional journey with workwarp, starting as a Google- Vacancyglobal! We are hiring for our Remote location, and the role is available for immediate commencement. This position requires a strong and diverse skillset in relevant areas to drive success. The compensation for this role is a competitive salary, reflecting our commitment to attracting the best.

 

 

Minimum qualifications:

• Bachelor's diploma in laptop technology, mathematics, an associated technical field, or equal sensible revel in
• five years of revel in cloud infrastructure
• revel in constructing and operationalizing device learning models
• revel in delivering technical shows while leading detailed discovery and making plans periods which are aligned together with the patron with defined scope and success standards

Desired qualifications: Revel in education and satisfactory tuning massive fashions (i.e., photograph, language, segmentation, advice, genomics) with accelerators

• Revel in running MLPerf benchmarks
• Enjoy overall performance profiling gear (i.e., Tensorflow profiler, PyTorch profiler, Tensorboard)
• Enjoy disbursed education and optimize overall performance as opposed to expenses
• Designing/architecting big-scale infrastructure farms for professional AI use cases
• Ability to interaction with C-degree or senior enterprise leaders and have an effect on decisions

Approximately the job The Google Cloud Platform group enables customers to transform and build what is next for their business all with technology constructed within the cloud. Our products are engineered for protection, reliability, and scalability, strolling the overall stack from infrastructure to packages to gadgets and hardware. Our teams are dedicated to helping our customers — developers, small and big agencies, academic institutions, and authorities businesses — see the blessings of our generation come to existence. As part of an entrepreneurial crew on this rapidly developing enterprise, you may play a key role in expertise the wishes of our clients and help form the destiny of corporations of all sizes use eras to hook up with customers, employees, and companions. In this position, you will become aware of and assess big-scale AI opportunities that might gain from AI-optimized infrastructure. You will help clients leverage accelerators within their overall cloud approach by means of helping run benchmarks for current fashions, finding opportunities to apply accelerators for brand-spanking new models, growing migration paths, and assisting with research fees to overall performance. Alongside this manner, you'll paintings intently with internal Cloud AI teams to dispose of roadblocks and form the future services Google Cloud hastens groups’ potential to digitally rework their commercial enterprise with the best infrastructure, platform, enterprise solutions, and know-how. We deliver enterprise-grade solutions that leverage Google’s present-day technology – all on the cleanest cloud inside the enterprise. Clients in greater than 200 international locations and territories flip to Google Cloud as their relied-on companion to allow growth and resolve their maximum essential commercial enterprise issues. Profits range info: The USA-based earnings variety for this full-time role is $ hundred $25-$50 + bonus + equity + benefits. Our salary ranges are determined by role, degree, and place. The range displayed on each job posting displays the minimal and most target for brand new hire salaries for the placement across all US locations. In the variety, man or woman pay is decided through paintings region and additional elements, which include job-associated skills, enjoy, and applicable education or education. Your recruiter can percentage greater approximately the specific revenue variety for your chosen region at some stage in the hiring manner. Obligations Be a dependent on guide to our top customers, helping them apprehend and comprise AI accelerators into their universal cloud strategy through recommending migration paths, integration techniques, and alertness structures that incorporate Google Cloud AI optimized infrastructure

• Reveal how Google Cloud is differentiated, highlighting the strength of accelerators with the aid of working with clients on p.c., demonstrating functions, optimizing model overall performance, profiling, and bench-marking
• Construct repeatable property to allow different clients and internal groups
• Influence Google Cloud approach on the intersection of infrastructure and AI/ML by using advocating for corporation client requirements
• Tour to patron web sites and occasions as wished

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