RTL Designer – Physical AI Compute
Summary
Design and optimize RTL for AI-focused System-on-Chip components, focusing on performance, power, and area while collaborating on verification and physical design.
You will design and optimize RTL for key portions of a Physical AI SoC. You will develop microarchitectures, define hardware interfaces and execution flows, contribute to compute and memory subsystems, optimize performance, power, and area, and collaborate through verification and physical design.
Responsibilities
- Design, implement, and optimize RTL for key SoC components
- Develop robust and efficient microarchitectures
- Define hardware interfaces, execution flows, and memory hierarchies
- Contribute to compute engines, memory subsystems, interconnect fabrics, control processors, DMA engines, and power-management logic
- Optimize designs for performance, power, area, scalability, and reliability
- Analyze performance bottlenecks and propose improvements
- Participate in design reviews
Requirements
- Experience designing RTL for complex digital systems
- Strong understanding of computer architecture, microarchitecture, and digital design fundamentals
- Experience with Verilog and SystemVerilog
- Familiarity with performance, power, and area tradeoffs
- Understanding of memory systems, interconnects, caches, DMA engines, or accelerator architectures
- Experience with hardware/software co-design and system-level performance optimization
- Strong debugging and problem-solving skills
Benefits
- Performance-based incentives
- Equity participation
- Medical coverage
- Dental coverage
- Vision coverage
- Paid time off
- Flexible work arrangements