Experienced Full Stack Enterprise Customer Engineer – Cloud AI Infrastructure Optimization
At arenaflex, we're revolutionizing the way businesses transform and build what's next with cutting-edge technology constructed in the cloud. Our team is dedicated to helping our customers – developers, small and big agencies, academic institutions, and government businesses – unlock the full potential of our generation. As part of an entrepreneurial crew in this rapidly developing enterprise, you'll play a key role in understanding the needs of our clients and help shape the future of companies of all sizes as they leverage AI to connect with customers, employees, and partners.
Job Summary:
We're seeking an experienced Full Stack Enterprise Customer Engineer to join our team at arenaflex. As a key member of our Cloud AI Infrastructure Optimization team, you'll work closely with our top customers to help them understand and incorporate AI accelerators into their overall cloud strategy. You'll be responsible for recommending migration paths, integration techniques, and application architectures that incorporate Google Cloud AI-optimized infrastructure. If you have a passion for cloud infrastructure, machine learning, and customer success, we want to hear from you!
Key Responsibilities:
* Identify and assess large-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 remove roadblocks and shape the future of services
- Develop repeatable assets to enable other customers and internal teams
- Influence Google Cloud approach on the intersection of infrastructure and AI/ML by advocating for customer requirements
- Travel to customer sites and events as needed
Essential 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 sessions aligned with the customer with defined scope and success criteria
Desired Qualifications:
* Experience with education 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 vs. cost
- 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 arenaflex:
arenaflex is a rapidly growing company that enables customers to transform and build what's next with technology constructed 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 agencies, academic institutions, and government businesses – unlock the full potential of our generation.
Career Growth Opportunities and Learning Benefits:
At arenaflex, we believe in investing in our employees' growth and development. You'll have access to a wide range of training programs, mentorship opportunities, and career advancement possibilities. Our team is passionate about innovation and collaboration, and we're committed to creating a culture that fosters creativity, diversity, and inclusion.
Work Environment and Company Culture:
arenaflex is a dynamic and fast-paced environment that values innovation, collaboration, and customer success. Our team is passionate about making a difference in the lives of our customers, and we're committed to creating a culture that's inclusive, diverse, and fun. You'll have the opportunity to work with a talented team of professionals who are dedicated to excellence and customer satisfaction.
Compensation, Perks, and Benefits:
The USA-based salary range for this full-time role is $100-$150 + 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. Individual pay is determined by work location and additional factors, including job-associated 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.
How to Apply:
If you're a motivated and experienced professional with a passion for cloud infrastructure, machine learning, and customer success, we want to hear from you! Please submit your application through our website, and our team will be in touch to discuss your qualifications and next steps. Apply Now! Apply for this job