CPU Architect, Load-Store (AI)

TL;DR

CPU Architect, Load-Store (AI): Designing and optimizing the load-store unit for high-performance out-of-order RISC-V CPUs with an accent on PPA optimization and memory subsystem performance. Focus on simulating advanced CPU features, implementing data prefetchers, and optimizing memory access patterns.

Location: Remote (Must be based in the United States)

Salary: $100k - $500k

Company

hirify.global is developing cutting-edge AI technology and high-performance RISC-V CPUs to redefine the computing paradigm.

What you will do

• Drive the architecture, micro-architecture, and optimization of the CPU load-store unit for high-performance out-of-order RISC-V CPUs.
• Propose and implement new solutions to optimize load-store PPA.
• Conduct simulations and performance analysis of advanced CPU features and state-of-the-art data prefetchers.
• Collaborate with hardware and software teams to optimize memory access patterns and overall system performance.
• Research industry trends and emerging technologies in CPU architecture and memory subsystems.
• Document and present architectural decisions and trade-off analyses.

Requirements

• Bachelor’s or Master’s degree in Computer Engineering, Electrical Engineering, or Computer Science.
• Strong grasp of computer architecture fundamentals, including memory hierarchy, cache coherence, and data prefetching.
• Experience with performance modeling and simulation tools such as Gem5 or SimpleScalar.
• Knowledge of hardware description languages (Verilog, VHDL) and system-level programming in C/C++.
• Must be eligible to access U.S. export-controlled technology (EAR compliance); citizenship or permanent residency may be required.
• Proven ability to analyze complex system interactions using performance profiling tools and benchmarking methodologies.

Culture & Benefits

• Competitive compensation package including base and variable targets.
• Opportunity to work alongside world-class architects in high-performance computing.
• Collaborative environment focused on solving hard technical problems in the AI space.
• Equal opportunity employer commitment.