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SOC Integration Engineer

MatX · Mountain View

CHECKED 7H AGO

Infrastructureremote$160k–$600k
Apply on the lab’s site ↗

At a glance

Highlights

  • Drive full-chip SoC RTL integration for MatX's AGI compute platform.
  • Build automation to generate SoC top-level RTL on the fly.
  • Partner with design and physical design on floorplan-aligned connectivity.

What they offer

  • 4 weeks PTO + 12 company holidays + up to 3 weeks remote work
  • Company-subsidized medical, dental, vision and life insurance plus HSA/FSA
  • 401K with up to 5% company contribution plus company-paid life and disability
  • Up to 12 weeks paid parental leave plus pregnancy disability leave
  • $50/mo perks, cell and internet reimbursement and $1000 home setup

Ideal candidate

A silicon integration specialist who thrives on owning full-chip assembly and automation. You care about scalable methodology, cross-team collaboration, and delivering high-performance silicon for AGI.

Requirements

  • Proficiency in SystemVerilog and scripting languages such as Python or Perl to drive chip design RTL and associated flows
  • Proven track record integrating high-performance computing elements and high-speed interconnects like UCIE within SOC RTL
  • Working knowledge of logical equivalency verification for SOC-level subsystem interfaces with physical design collaboration
  • Manage memory wrapper generation including integration of DFT wrappers into Subsystem RTL
  • Automation support for generating and configuring SOC RTL with user-defined Subsystems for DV
  • Hands-on experience with AI-driven tools for SOC integration automation
  • Hands-on experience with design synthesis, linting, clock and reset-domain-crossing, and timing constraint validation
  • Familiarity with emulation platforms and verification methodologies is highly desirable
remote policy
Up to 3 weeks remote work

Lab profile

About MatX

Designs vertically integrated AI silicon and systems to run frontier models at physics-limit efficiency.

What they build

  • AI accelerator silicon for GenAI training and inference
  • Rack-scale AI data center systems
  • Full-stack silicon-to-software platform for large ML workloads

Known for

  • Vertically integrated silicon-to-systems design
  • AI accelerator architecture and performance modeling for LLMs
  • High-efficiency power architecture from chip to rack
  • Silicon verification and software-hardware co-verification
More about MatX →
Apply on the lab’s site ↗