**Experienced Full Stack Enterprise Customer Engineer – Cloud AI Infrastructure Optimization**

At blithequark, we're revolutionizing the way businesses operate by harnessing the power of cloud technology. As a key member of our entrepreneurial team, you'll play a pivotal role in shaping the future of companies across various industries by leveraging the latest advancements in artificial intelligence (AI) and machine learning (ML). If you're passionate about staying at the forefront of innovation and driving business growth through technology, we invite you to join our dynamic team as an Enterprise Customer Engineer. **About blithequark** blithequark is a leading provider of cloud-based solutions that empower businesses to transform and build what's next for their organization. Our products are engineered for security, reliability, and scalability, covering the entire stack from infrastructure to applications to devices and hardware. With a focus on customer satisfaction, our teams are dedicated to helping businesses – from developers and small enterprises to academic institutions and government organizations – unlock the full potential of our technology. **Job Summary** As an Enterprise Customer Engineer, you'll be responsible for identifying and assessing large-scale AI opportunities that can benefit from AI-optimized infrastructure. You'll work closely with our clients to help them leverage accelerators within their overall cloud strategy by running benchmarks for current models, finding opportunities to apply accelerators for new models, developing migration paths, and assisting with research fees to optimize performance. Alongside this, you'll collaborate with internal Cloud AI teams to overcome obstacles and shape the future of our services. **Key Responsibilities** * Identify and assess large-scale AI opportunities that can benefit from AI-optimized infrastructure * Help clients leverage accelerators within their overall cloud strategy by: + Running benchmarks for current models + Finding opportunities to apply accelerators for new models + Developing migration paths + Assisting with research fees to optimize performance * Work closely with internal Cloud AI teams to: + Overcome obstacles + Shape the future of our services * Collaborate with clients to recommend migration paths, integration techniques, and application architectures that incorporate Google Cloud AI-optimized infrastructure * Reveal how blithequark is differentiated, highlighting the strength of accelerators by: + Working with clients on proof-of-concepts + Demonstrating functions + Optimizing model performance + Profiling and benchmarking * Construct repeatable assets to enable other clients and internal teams * Influence blithequark's approach on the intersection of infrastructure and AI/ML by advocating for client requirements * Tour to client 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 in building and operationalizing machine learning models * Experience in delivering technical presentations while leading detailed discovery and planning sessions aligned with the client's defined scope and success criteria **Desired Qualifications** * Experience in education and fine-tuning large models (e.g., image, language, segmentation, recommendation, genomics) with accelerators * Experience in running MLPerf benchmarks * Experience in performance profiling tools (e.g., TensorFlow profiler, PyTorch profiler, TensorBoard) * Experience in distributed training and optimizing performance versus cost * Experience in designing and architecting large-scale infrastructure farms for professional AI use cases * Ability to interact with C-level or senior business leaders and influence decisions **Skills and Competencies** * Strong understanding of cloud infrastructure and AI/ML concepts * Excellent communication and presentation skills * Ability to work in a fast-paced environment and prioritize multiple tasks * Strong problem-solving and analytical skills * Experience in working with clients to understand their needs and develop solutions * Ability to influence and advocate for client requirements **Career Growth Opportunities and Learning Benefits** At blithequark, we believe in investing in our employees' growth and development. As an Enterprise Customer Engineer, you'll have opportunities to: * Work on high-profile projects and collaborate with cross-functional teams * Develop your skills in cloud infrastructure, AI/ML, and technical presentation * Influence blithequark's approach on the intersection of infrastructure and AI/ML * Tour to client sites and events to share your expertise and build relationships * Participate in training and development programs to enhance your skills and knowledge **Work Environment and Company Culture** blithequark is a dynamic and entrepreneurial company that values innovation, collaboration, and customer satisfaction. Our teams are passionate about staying at the forefront of technology and driving business growth through innovation. As an Enterprise Customer Engineer, you'll be part of a fast-paced and supportive environment that encourages creativity, experimentation, and learning. **Compensation, Perks, and Benefits** The USA-based salary range for this full-time role is $125-$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 other factors, including job-related skills, experience, and applicable education or certification. Your recruiter can provide more information about the specific salary range for your chosen location during the hiring process. **How to Apply** If you're passionate about staying at the forefront of innovation and driving business growth through technology, we invite you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you're the ideal candidate for this role. We look forward to hearing from you! Apply for this job