- Define the multi-generation strategy for application scaling across DRAM, NVLink, C2C, compute, and the supporting software stack.
- Translate the behavior of important AI, HPC, and accelerated computing applications into architectural requirements, performance targets, and investment priorities.
- Build a clear view of how bottlenecks shift as workloads scale across dies, GPUs, nodes, model sizes, data sets, and communication patterns.
- Evaluate system-level trade-offs across bandwidth, latency, capacity, topology, coherence, power, area, cost, programmability, and resiliency.
- Establish common workload scenarios, scaling metrics, models, and decision frameworks.
- Identify architectural discontinuities and emerging technology opportunities.
Requirements
- MSEE, MSCE, PhD, or equivalent experience in Electrical Engineering, Computer Engineering, Computer Science, or a related field.
- 18+ years of relevant industry or academic experience, including experience setting architecture direction for complex, high-performance systems.
- Deep understanding of system performance and scaling, including interactions among DRAM behavior, high-bandwidth fabrics such as NVLink, and C2C communication.
- Strong application-level intuition, including the ability to connect workload algorithms, parallelism, communication, locality, and data movement to architecture choices and measurable outcomes.
- Experience with workload characterization, analytical or simulation-based performance modeling, bottleneck analysis, and architecture trade-off evaluation.
- Demonstrated ability to create and advance a multi-generation technical strategy through influence across silicon, systems, software, and application teams.
- Clear communication and sound judgment in ambiguous technical areas, with the ability to explain complex system trade-offs to specialists and executive leaders.
- Experience mentoring senior engineers into broader architecture leadership roles and building strong technical communities.
Core Competencies
Expertise in defining multi-generation strategies for application scaling, with a strong focus on system performance, workload characterization, and architectural trade-offs. Proven ability to influence cross-functional teams and mentor engineers in high-performance computing environments.
Highest-signal resume keywords
- Multi-Generation Strategy Development
- System Performance Analysis
- Workload Characterization
- Architectural Trade-Off Evaluation
- Mentoring and Leadership
ATS Optimization Keywords
Hard Skills
- DRAM Behavior Analysis
- NVLink Communication
- C2C Communication
- Performance Modeling
- Bottleneck Analysis
- Scaling Metrics
- Analytical Simulation
- Architecture Direction
- Technical Strategy Development
- High-Performance Systems Design
Soft Skills
- Clear Communication
- Sound Judgment
- Influence Across Teams
- Mentoring
- Building Technical Communities
Certifications & Qualifications
- MSEE
- MSCE
- PhD
Industry Keywords
- AI Applications
- HPC
- Accelerated Computing
- System-Level Trade-Offs
- Performance Targets
- Investment Priorities
- Workload Algorithms
- Data Movement
- Technical Communities
- Emerging Technology Opportunities