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SK hynix America

AI Data Center Testbed Technical Lead

San Jose, California, United States

Location
San Jose, California, United States
Work
Not stated
Employment
Not stated
Level
Lead / staff
Function
Data & AI
Pay
$155K – $210K a year
Posted
6 weeks ago

Pay and the market here

The top of this role’s range, $210K a year, is 44% below the median of $376K for lead / staff data jobs in San Jose (middle half $275K – $450K, 25 jobs that state pay).

96 data jobs open in San Jose: 7% remote, 21 posted in the last 30 days.

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About the role

About SK hynix America

At SK hynix America, we are at the forefront of semiconductor innovation. As a global leader in HBM, DRAM, and NAND flash technologies, we develop the advanced memory solutions powering everything from advanced mobile technology to massive AI data centers. With major investments in the U.S. and a leading position in the global AI revolution, we build the critical infrastructure of the digital landscape and remain committed to sustainable operations. We invite innovative minds to be part of our journey. Here, you will be part of a collaborative team pioneering the next generation of memory technologies, expanding our market footprint, and defining the future of computing.

Work Model: Onsite

About This Role

SK Hynix is seeking an experienced Technical Lead to operate our AI Data Center Testbed. The successful candidate will evaluate various solution partners' technologies and determine optimal infrastructure configurations for next-generation AI/HPC systems.

Key Responsibilities

  • AI/HPC Infrastructure Architecture: Design and optimize system architecture for 1~5MW class AI Data Center Testbed
  • Solution Partner Evaluation: Technical validation and comparative assessment of hardware/software solutions from various partners
  • Performance Optimization: Analyze trade-offs between compute, memory, networking, and storage; optimize system-level performance and thermal efficiency
  • Test Infrastructure Development: Build automated test infrastructure and benchmark environments
  • Technology Roadmap: Establish technical roadmap and standardization strategies for next-generation AI/HPC infrastructure
  • Cross-functional Collaboration: Work with internal teams and external solution partners to validate integration and performance

Required Qualifications

Education

  • Master degree or higher in Computer Engineering or related field (Ph.D. preferred)

Experience

  • 15+ years of experience in distributed systems, cluster computing, and cloud infrastructure
  • Hands-on experience with heterogeneous computing and accelerated computing architectures
  • Strong understanding of GPGPU technologies and related frameworks (OpenCL, CUDA, etc.)
  • Linux platform and system-level programming experience
  • Business-level English communication and documentation skills

Technical Skills

  • System Architecture & Design
  • Distributed/Cluster Computing
  • Cloud Infrastructure & Virtualization
  • Resource Allocation & Task Scheduling
  • Network Topology & Monitoring
  • Storage Systems (NoSQL experience preferred)
  • Automation & Test Infrastructure
  • Programming: C/C++, Python, Perl, Java

Preferred Qualifications

  • HPC (High Performance Computing) data center operation experience
  • AI/ML workload optimization experience
  • Thermal management and power efficiency optimization experience
  • Solution vendor evaluation and partnership management experience
  • Advanced degree (M.S./Ph.D.) in relevant field
  • Publications in relevant technical conferences/journals

Core Competencies

Competency Area

Key Requirements

System Architecture

Distributed systems, cluster, cloud infrastructure design

Accelerated Computing

GPGPU, heterogeneous computing, hardware acceleration

Performance Optimization

System-level performance analysis and optimization

Technical Leadership

Translate complex requirements into production-ready solutions

Partner Management

Solution partner technical evaluation and collaboration

Requirement

  • Authorized to work in the US

Benefits

  • Top Tier health insurance at no employee cost
  • Paid day offs: Paid Time Off, Company Holidays, Parental Leave, Happy Fridays
  • 401k Matching
  • Flexible Spending Account (FSA) for Health Care & Dependent Care
  • Educational reimbursement up to $10,000 per year
  • Donation Matching and volunteering opportunities
  • Corporate discount programs
  • Free Breakfast/Lunch/Dinner provided to employees

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

$155,000—$210,000 USD

Equal Employment Opportunity

SK hynix America 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.

In compliance with federal law, SK hynix America also participates in the federal E-Verify program. Upon accepting an offer of employment, all newly hired individuals will be required to complete Form I-9, which includes verifying identity and legal authorization to work in the United States. Please review the official government posters detailing your rights and protections prior to applying:

  • E-Verify Participation Poster (Bilingual English & Spanish)
  • IER Right to Work Poster (English)
  • IER Right to Work Poster (Spanish)

Source

Posted by SK hynix America on their own hiring page, job-boards.greenhouse.io. OptiTalent shows it as published, read 07 Nov 2026 11:05 UTC; the original is the reference.

View the original ad ↗

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