Senior SOC Integration Architect — Remote

MatX Inc.

Mountain View (CA)

Hybrid

USD 160,000 - 600,000

Full time

14 days+

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Benefits offered by this job

PTO
Holidays
Remote work
Health benefits
401K
Life insurance
Mental health support
AI resources

Job summary

MatX Inc. is building a silicon platform for next-gen GenAI workloads in Mountain View, CA. We seek engineers to drive SOC RTL design, integration, and automation across architecture, verification, and PD teams.

The role emphasizes SystemVerilog proficiency, CPU/GPU/accelerator integration, and DV best practices. Strong collaboration and cutting-edge tooling are essential for performance and reliability.

Qualifications

  • Proficiency in SystemVerilog and scripting (Python/Perl).
  • Experience integrating CPUs/GPUs/accelerators in SOC RTLs.
  • Knowledge of SOC-level verification and floorplan requirements.
  • Experience with emulation platforms and DV methodologies desirable.
  • Strong automation and RTL integration skills.

Responsibilities

  • Drive evolution of silicon architecture-to-design methodology for full-chip SOC RTL design.
  • Collaborate with SubSystem owners to enable SOC top-level RTL and block integration.
  • Develop automation for SOC top-level RTL integration and on-the-fly generation.
  • Coordinate with Physical Design to align RTL with floorplanning and interconnects.
  • Establish clock and reset methodologies across teams.
  • Define and support SOC timing constraints and validate against designs.
  • Provide SOC pin requirements and assist in interposer netlist generation.

Skills

SystemVerilog
Python or Perl
SOC RTL design
Clock & reset design
DV & verification
High-performance computing integration
Emulation platforms

Tools

UCIE interconnect

Job description

MatX Inc. is building a silicon platform for next-gen GenAI workloads in Mountain View, CA. We seek engineers to drive SOC RTL design, integration, and automation across architecture, verification, and PD teams.

The role emphasizes SystemVerilog proficiency, CPU/GPU/accelerator integration, and DV best practices. Strong collaboration and cutting-edge tooling are essential for performance and reliability.

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