
Lead Performance Architect (Principal Engineer)
- Austin, TX
- Permanent
- Full-time
- You have proven experience leading a team to develop and maintain cycle-accurate C++ performance models for System IP components, while also contributing hands on.
- You analyze system performance using various metrics, such as latency, throughput, and power consumption, to identify bottlenecks and optimization opportunities.
- You develop and maintain performance analysis tools.
- You collaborate with cross-functional teams, including architecture, design, and software teams, to identify and implement performance optimization opportunities.
- You develop and run benchmarks to characterize system performance and identify areas for improvement.
- You provide technical guidance and mentorship to junior engineers and contribute to the development of best practices and standards for performance modeling and analysis.
- You work closely with other teams, including CPU, GPU, and SoC architecture teams, to ensure that System IP components meet performance and power requirements.
- 20+ years of experience with a Bachelor’s Degree in Computer Science/Engineering, or 18+ years of experience with a Master’s Degree, or 16+ years of experience with a PhD
- Expertise in performance modeling, analysis, and optimization, with a focus on System IP components.
- Strong C++ coding skills, with experience developing cycle-accurate performance models and analysis tools.
- Strong understanding of computer architecture, microarchitecture, and system-level performance optimization.
- Excellent analytical and problem-solving skills, with the ability to identify and optimize performance bottlenecks.
- Strong technical leadership and mentoring skills, with experience guiding junior engineers.
- Must be local, or open to relocating, to Austin, TX.
- Professional experience in memory subsystem or interconnect, with knowledge of memory hierarchy, memory access patterns, bandwidth, and latency optimization, is a big plus.
- Proficiency in performance modeling tools such as SystemC, Gem5, or similar.
- Experience with industry standard RTL design tools and methodologies.
- Programming skills in Python or R, with experience in data analysis, visualization, and automation.
- Familiarity with emerging technologies, such as AI, ML, and autonomous systems, and their impact on System IP performance.
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