Experienced Enterprise Customer Engineer – Cloud Infrastructure and Artificial Intelligence Solutions at arenaflex

Introduction to arenaflex

arenaflex is a leading innovator in the technology industry, empowering businesses to transform and build what's next for their operations. Our products and services are engineered for security, reliability, and scalability, running the entire stack from infrastructure to applications to devices and hardware. As part of a rapidly growing enterprise, our teams are dedicated to helping our customers – developers, small and large businesses, academic institutions, and government agencies – see the benefits of our technology come to life.

About the Role

In this critical position, you will become a trusted advisor to our top customers, helping them understand and incorporate AI accelerators into their overall cloud strategy. You will play a key role in identifying and assessing large-scale AI opportunities that could benefit from AI-optimized infrastructure. By working closely with internal Cloud AI teams, you will help eliminate roadblocks and shape the future of our services.

Key Responsibilities

• Be a trusted guide to our top customers, helping them understand and incorporate AI accelerators into their overall cloud strategy through recommending migration paths, integration techniques, and application architectures that incorporate arenaflex Cloud AI optimized infrastructure
• Demonstrate how arenaflex Cloud is differentiated, highlighting the power of accelerators by working with clients on proof-of-concepts, demonstrating features, optimizing model performance, profiling, and benchmarking
• Build repeatable assets to enable other customers and internal teams
• Influence arenaflex Cloud strategy at the intersection of infrastructure and AI/ML by advocating for corporate customer requirements
• Travel to customer sites and events as needed

Essential Qualifications

To be successful in this role, you should have:

• A Bachelor's degree in computer technology, mathematics, or a related technical field, or equivalent practical 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 sessions that are aligned with the customer with defined scope and success criteria

Desired Qualifications

In addition to the essential qualifications, we are looking for candidates with:

• Experience training and fine-tuning large models (e.g., image, language, segmentation, recommendation, 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 versus costs
• Designing/architecting large-scale infrastructure farms for professional AI use cases
• Ability to interact with C-level or senior business leaders and influence decisions

Career Growth Opportunities and Learning Benefits

At arenaflex, we are committed to the growth and development of our employees. As an Enterprise Customer Engineer, you will have the opportunity to work with cutting-edge technology and collaborate with experienced professionals in the field. You will also have access to training and development programs to help you enhance your skills and advance your career.

Work Environment and Company Culture

arenaflex is a dynamic and innovative company that values diversity, inclusion, and collaboration. Our work environment is fast-paced and challenging, but also rewarding and fun. We offer a range of benefits and perks to support our employees' well-being and work-life balance, including flexible working hours, remote work options, and a comprehensive benefits package.

Compensation, Perks, and Benefits

The USA-based salary range for this full-time role is $125,000 - $250,000 + 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. In the range, individual pay is determined by work location and additional factors, such as job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your chosen location during the hiring process.

Conclusion

If you are a motivated and experienced professional looking for a challenging and rewarding role, we encourage you to apply for the Enterprise Customer Engineer position at arenaflex. With our commitment to innovation, customer satisfaction, and employee growth, we offer a unique and exciting opportunity to make a real impact in the technology industry. Join our team and help shape the future of cloud infrastructure and artificial intelligence solutions.