Computer Architect (Generative AI)

Location: San Francisco County, California, United States; Bay Area-based

Salary: $250,000–$400,000

Company

Develops high-performance and sustainable silicon for Generative AI and advances semiconductor and AI products for large language model workloads.

What you will do

• Drive scalable, high-performance compute architectures and connectivity topologies for modern AI workloads.
• Design advanced memory subsystems, including low-latency, high-throughput interconnects and cache hierarchies.
• Own silicon architecture for key subsystem- or chip-level features from architecture specification through production silicon.
• Deliver executable specifications and models describing hardware architecture.
• Debug architectural issues at silicon and system level with design, validation, system engineering, software, and field-support teams.
• Work cross-functionally with hardware, firmware, and software teams to meet product requirements.

Requirements

• Experience owning architecture from concept through production silicon for key subsystem- or chip-level features.
• Experience delivering innovative chip and system features for ML, compute, networking, storage, or related areas in shipping products.
• Experience debugging architectural issues at silicon and system level with partner engineering teams.
• Comfort with some of SystemVerilog, Python, C, C++, Rust, Bluespec, or similar scripting and programming languages for chip architecture and silicon design.
• Successful delivery of executable specifications and models describing hardware architecture.
• Experience with SystemC, Python, C/C++, and writing production-ready, annotated code.

Nice to have

• Experience writing firmware and software code to test architectural features at product level.

Culture & Benefits

• Work with a high-performing, Bay-Area-based team focused on advanced semiconductor and AI products.
• Collaborate with experienced engineers and industry veterans across hardware, firmware, software, validation, and system engineering.