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Experienced Full Stack Enterprise Customer Engineer – Cloud AI Infrastructure Optimization

Remote Full-time Live

Are you a seasoned technology professional with a passion for cloud infrastructure and artificial intelligence? Do you thrive in fast-paced environments where no two days are the same? If so, we invite you to join the esteemed team at blithequark as an Enterprise Customer Engineer, specializing in Cloud AI Infrastructure Optimization.

About blithequark

blithequark is a pioneering force in the cloud computing industry, empowering businesses of all sizes to transform and build what's next with cutting-edge technology. Our products are engineered for security, reliability, and scalability, spanning the entire stack from infrastructure to applications to devices and hardware. As part of our entrepreneurial team, you'll play a pivotal role in understanding the needs of our clients and shaping the future of how businesses connect with customers, employees, and partners.

Job Summary

As an Enterprise Customer Engineer at blithequark, you'll be responsible for identifying and assessing large-scale AI opportunities that can benefit from AI-optimized infrastructure. You'll work closely with clients to help them leverage accelerators within their overall cloud strategy, run benchmarks for current models, and explore opportunities to apply accelerators for new models. Alongside this, you'll collaborate with internal Cloud AI teams to overcome roadblocks and shape the future of 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 + Exploring 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 roadblocks + Shape the future of services

  • Collaborate with clients to:

+ Recommend migration paths + Integration techniques + Application structures that incorporate Google Cloud AI-optimized infrastructure

  • Reveal how Google Cloud is differentiated, highlighting the strength of accelerators by:

+ Working with clients on proof-of-concepts + Demonstrating functions + Optimizing model performance + Profiling + Benchmarking

  • Construct repeatable assets to enable other clients and internal teams
  • Influence Google Cloud 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 delivering technical presentations while leading detailed discovery and planning sessions aligned with client-defined scope and success standards

Desired Qualifications

* Experience in 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
  • Designing/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 technical expertise in cloud infrastructure, machine learning, and AI

  • Excellent communication and presentation skills
  • Ability to work in a fast-paced environment with multiple priorities
  • Strong problem-solving and analytical skills
  • Experience with cloud-based tools and technologies
  • Ability to influence and advocate for client requirements

Career Growth Opportunities and Learning Benefits

As a member of the blithequark team, you'll have access to a range of career growth opportunities and learning benefits, including:

  • Professional development programs and training sessions
  • Opportunities for career advancement and promotion
  • Collaborative and dynamic work environment
  • Access to cutting-edge technology and tools
  • Recognition and rewards for outstanding performance

Work Environment and Company Culture

blithequark is committed to creating a diverse and inclusive work environment that fosters collaboration, innovation, and growth. Our company culture is built on a foundation of:

  • Open communication and transparency
  • Empowerment and autonomy
  • Continuous learning and development
  • Recognition and rewards for outstanding performance
  • A commitment to social responsibility and community engagement

Compensation, Perks, 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. Individual pay is determined by work location and other factors, including job-associated skills, experience, and applicable education or training. 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 a motivated and experienced technology professional looking for a new challenge, we invite you to apply for this exciting opportunity. Please submit your resume and a cover letter outlining your qualifications and experience. We look forward to hearing from you! Apply for this job

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