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Director, AI Cluster Engineering

San Jose, CA
Job Title: Director, AI Cluster Engineering
Office Location: San Jose, CA
Work Model: Onsite

About SK hynix America
At SK hynix America, we're at the forefront of semiconductor innovation, developing advanced memory solutions that power everything from smartphones to data centers. As a global leader in DRAM and NAND flash technologies, we drive the evolution of advancing mobile technology, empowering cloud computing, and pioneering future technologies. Our cutting-edge memory technologies are essential in today's most advanced electronic devices and IT infrastructure, enabling enhanced performance and user experiences across the digital landscape.
We're looking for innovative minds to join our mission of shaping the future of technology. At SK hynix America, you'll be part of a team that's pioneering breakthrough memory solutions while maintaining a strong commitment to sustainability. We're not just adapting to technological change – we're driving it, with significant investments in artificial intelligence, machine learning, and eco-friendly solutions and operational practices. As we continue to expand our market presence and push the boundaries of what's possible in semiconductor technology, we invite you to be part of our journey to creating the next generation of memory solutions that will define the future of computing.

Job Overview:

As the Director of AI Cluster Engineering, you will lead the design, development, and operation of high-performance computing (HPC) clusters for AI/ML workloads. You will be responsible for architecting and optimizing AI data center and IT environments to ensure scalability, performance, reliability, and cost-effectiveness. This role requires collaboration with cross-functional teams to align computing infrastructure with the organization's strategic direction and future needs. This role offers an exciting opportunity to drive the future of AI/ML computing infrastructure, leveraging cutting-edge technologies to build scalable and efficient high-performance computing environments.

Responsibilities:

Computing Cluster Architecture

  • Design and architect high-performance computing clusters optimized for AI/ML model training and inference, including scientific computing applications and transformer-based AI models.
  • Optimize cluster performance through hardware selection, network topology design, equipment configuration, and performance analysis.
  • Evaluate, implement, and manage job scheduling and workload management systems to enhance efficiency.
  • Deploy and operate data center networking infrastructure using software system for automation for design validation, deployment, and operational support.

Infrastructure Planning & Implementation

  • Develop and maintain mid-to-long term infrastructure roadmaps aligned with business objectives.
  • Evaluate emerging technologies and recommend solutions to enhance AI data center capabilities, identifying marketable AI DC solutions.
  • Oversee large-scale infrastructure projects, ensuring timely execution, budget adherence, and performance optimization.

Team Leadership & Collaboration

  • Lead and mentor engineering teams in designing, implementing, and maintaining AI/ML infrastructure solutions.
  • Collaborate with cross-functional teams, including strategy, security, and application development, to align infrastructure with organizational goals.
  • Engage with technology vendors and partners to evaluate new solutions, negotiate contracts, and drive innovation in AI computing infrastructure.

Qualification:   

  • Bachelor’s degree in Computer Science, Engineering, or a related field (Master’s degree preferred).
  • 15+ years of hands-on experience in computing cluster architecture and backend server systems supporting global-scale consumer applications, including mobile devices.
  • 10+ years of experience in cloud computing (AWS, Azure, GCP), with deep expertise in virtualization and cloud platform architectures.
  • Strong understanding of data center networking, including egress/ingress traffic, interconnection points, and exchange services.
  • Extensive experience in high-performance and distributed computing cluster design, management, and optimization.
  • Strong familiarity with AI/ML infrastructure requirements, best practices, and industry trends.
  • Knowledge of data center security standards and regulatory compliance requirements.

Benefits:

  • Top Tier health insurance at no employee cost
  • Paid day offs: PTO + Company Holidays + Happy Fridays
  • Paid Parental Leave Program
  • 401k MatchingEducational reimbursement up to $10,000 per year
  • Donation Matching and volunteering opportunities
  • Corporate discount programs
  • Free Breakfast/Lunch/Dinner provided to employees

Equal Employment Opportunity:

SKHYA is an Equal Employment Opportunity Employer. We provide equal employment opportunities to all qualified applicants and employees and prohibit discrimination and harassment of any type without regard to race, sex, pregnancy, sexual orientation, religion, age, gender identity, national origin, color, protected veteran or disability status, genetic information or any other status protected under federal, state, or local applicable laws. 

 

Compensation:

Our compensation reflects the cost of labor across several U.S. geographic markets, and we pay differently based on those defined markets. Pay within the provided range varies by work location and may also depend on job-related skills and experience. Your Recruiter can share more about the specific salary range for the job location during the hiring process.

Pay Range

$180,000 - $300,000 USD

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