Experienced Full Stack Enterprise Customer Engineer – Cloud AI Optimization and Acceleration
Are you a seasoned professional with a passion for cloud infrastructure, machine learning, and customer success? Do you thrive in a fast-paced, entrepreneurial environment where no two days are the same? Look no further! arenaflex is seeking an experienced Full Stack Enterprise Customer Engineer to join our team of innovators and thought leaders in the cloud industry.
About arenaflex
arenaflex is a leading provider of cloud infrastructure, platform, and business solutions that enable organizations to digitally transform their businesses. With a presence in over 200 countries and territories, we empower businesses of all sizes to harness the power of the cloud and drive growth, innovation, and success. Our team of experts is dedicated to helping our customers unlock the full potential of the cloud, and we're looking for talented individuals like you to join our mission.
The Role
As a Full Stack Enterprise Customer Engineer at arenaflex, you will play a critical role in helping our customers leverage the power of AI-optimized infrastructure to drive business success. You will work closely with our internal Cloud AI teams to identify and assess big-scale AI opportunities, develop migration paths, and assist with research fees to optimize performance. Your expertise will be invaluable in helping our customers navigate the complex landscape of cloud infrastructure and AI/ML, and you will be a key influencer in shaping the future of our customers' businesses.
Key Responsibilities
* Identify and assess big-scale AI opportunities that can benefit from AI-optimized infrastructure
- Help customers leverage accelerators within their overall cloud strategy by running benchmarks for current models, finding opportunities to use accelerators for new models, developing migration paths, and assisting with research fees to optimize performance
- Work closely with internal Cloud AI teams to identify roadblocks and shape the future of services
- Develop repeatable assets to enable other customers and internal groups
- Influence Google Cloud approach on the intersection of infrastructure and AI/ML by advocating for customer requirements
- Tour to customer sites and events as needed
Minimum Qualifications
* Bachelor's degree in Computer Science, Mathematics, or a related technical field, or equivalent relevant experience
- 5+ years of experience in cloud infrastructure
- Experience building and operationalizing machine learning models
- Experience delivering technical presentations while leading detailed discovery and planning periods aligned with the customer with defined scope and success standards
Desired Qualifications
* Experience with education and fine-tuning large models (e.g., image, language, segmentation, advice, genomics) with accelerators
- Experience running MLPerf benchmarks
- Experience with performance profiling tools (e.g., Tensorflow profiler, PyTorch profiler, Tensorboard)
- Experience with distributed training and optimizing performance vs. cost
- Experience designing/architecting large-scale infrastructure farms for professional AI use cases
- Ability to interact with C-level or senior business leaders and influence decisions
About the Job
The Google Cloud Platform group enables customers to transform and build what's next for their business all with technology built in the cloud. Our products are engineered for security, reliability, and scalability, running the entire stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and big businesses, academic institutions, and government agencies — see the benefits of our technology come to life.
Compensation and Benefits
The USA-based salary range for this full-time role is $125-$175 + 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. In the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and applicable education or training. Your recruiter can share more about the specific salary range for your chosen location during the hiring process.
Why Join arenaflex?
* Be part of a dynamic and entrepreneurial team that is shaping the future of the cloud industry
- Work with cutting-edge technology and innovative solutions that are transforming businesses around the world
- Collaborate with talented professionals who are passionate about customer success and innovation
- Enjoy a competitive salary and benefits package that reflects our commitment to attracting and retaining top talent
- Have the opportunity to learn and grow with a company that is dedicated to helping our customers achieve their goals
How to Apply
If you're a motivated and experienced professional who is passionate about cloud infrastructure, machine learning, and customer success, we encourage you to apply for this exciting opportunity. Don't worry if you don't meet every single requirement – we value a great attitude and a willingness to learn above all. Submit your application today and join our team of innovators and thought leaders in the cloud industry! Apply Now Apply for this job