AI Solution Architecture Director

SK hynix America
San Jose, CA
On-site

Who this role is best for

Aimed at senior-level AI and memory architecture professionals who can bridge AI workloads with technical design and analysis.

Best fit for

  • Senior AI architects with experience in workload analysis and memory system trade-offs
    — “Bridge evolving customer AI workloads with memory/storage requirements and quantitative comparisons”
  • Candidates with expertise in signal integrity and high-speed interface analysis
    — “Expertise in SI/PI, high-speed interfaces, and signal/power integrity analysis for AI and memory systems”
  • Professionals who can define and manage complex technical documentation with version control
    — “Deliver ARD Traceability Matrix, Workload Catalog, Trace Manifest, and Model/Parameter Sheets with version control”

Things to consider

  • Onsite work model required, with no mention of remote flexibility
    — “Work Model: Onsite”
  • Focus on technical documentation and traceability, not just system design
    — “Define requirements, evaluate trace data, and analyze modeling errors”

How to stand out

  • Highlight experience with AI inference and workload profiling in your resume and interviews
    — “Experience in Agentic AI/Inference workload analysis, including Token, Context, KV Cache, Weights, Activations, and Trace/Profiling”
  • Demonstrate ability to model and analyze complex AI system trade-offs
    — “Analyze bandwidth, latency, power, and signal integrity trade-offs across memory, interconnect, and packaging solutions”
  • Showcase your ability to translate AI system needs into hardware and software architecture decisions
    — “Ability to translate AI system requirements into HW/SW architecture decisions and ARD traceability”
  • Emphasize your technical modeling and statistical analysis capabilities
    — “Proficiency in analytical/system modeling, statistical methods, Python-based analysis, and prediction/validation error analysis”
Pace · SteadyCollaboration · HighAutonomy · MediumDecision Impact · Company

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • lead architecture reviews
  • evaluate trace data
Typical background
strong understanding of AI and memory systems

Skills & requirements

Required

AI System RequirementsArchitecture DesignModelingTechnical Alignment

Preferred

Optical InterconnectsAdvanced Packaging Technologies

Stack & domain

LLM Pre-training/post-trainingAI Inference/servingMemory/storage HierarchiesData MovementBottleneck AnalysisPythonSi/piOptical InterconnectsAdvanced Packaging TechnologiesTechnical LeadershipTeam ManagementProblem SolvingCollaborationAIMemory TechnologiesSemiconductorAdvanced Packaging

About the role

Original posting from SK hynix America via Greenhouse

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

Job Title: AI Solution Architecture Director

Office Location: San Jose, CA

Job Type: Full-Time

Work Model: Onsite 

Job Summary:

Bridge evolving customer AI workloads with memory/storage requirements and quantitative comparisons.

Secure local expertise in architecture design, analysis, modeling, and technical alignment across HBF validation and Path Finding.

Responsibilities:

Lead Architecture Reviews (for ARD), scenario development, and trace analysis.

Define requirements, evaluate trace data, and analyze modeling errors.

Deliver ARD Traceability Matrix, Workload Catalog, Trace Manifest, and Model/Parameter Sheets with version control.

Evaluate SI/PI, optical interconnect, and advanced packaging requirements for next-generation AI memory architectures.

Analyze bandwidth, latency, power, and signal integrity trade-offs across memory, interconnect, and packaging solutions.

Qualifications:   

Strong understanding of LLM pre-training/post-training(SFT, RL), AI inference/serving, memory/storage hierarchies, data movement, and bottleneck analysis.

Ability to translate AI system requirements into HW/SW architecture decisions and ARD(Architecture Requirement Documentation) traceability.

Experience in Agentic AI/Inference workload analysis, including Token, Context, KV Cache, Weights, Activations, and Trace/Profiling.

Proficiency in analytical/system modeling, statistical methods, Python-based analysis, and prediction/validation error analysis.

Expertise in SI/PI, high-speed interfaces, and signal/power integrity analysis for AI and memory systems.

Knowledge of optical interconnects and advanced packaging technologies, including 2.5D/3D integration and chiplet architectures

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$250,000—$320,000 USDEqual 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: SK hynix America careers (Greenhouse)

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