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Senior Design Verification Engineer – Physical AI Compute

You will develop and execute verification strategies for a Physical AI SoC, build SystemVerilog and UVM verification environments, define coverage goals, and verify compute engines, memory systems, interconnects, processors, DMA engines, and other SoC infrastructure. You will perform hardware/software co-verification, evaluate performance and real-time behavior, develop assertions and automated infrastructure, participate in emulation and FPGA prototyping, investigate bugs, and debug issues across hardware and software boundaries through post-silicon.

Responsibilities

  • Develop and execute verification strategies for key portions of the SoC
  • Build verification environments using SystemVerilog, UVM, C, C++, assertions, formal verification, and emulation
  • Define verification plans, coverage goals, and correctness criteria
  • Verify compute engines, memory subsystems, interconnect fabrics, control processors, DMA engines, and other SoC infrastructure
  • Perform hardware/software co-verification involving firmware, drivers, runtime software, and operating system interactions
  • Verify performance, latency, bandwidth, QoS, and real-time behavior under representative workloads
  • Develop assertions, checkers, scoreboards, and automated verification infrastructure
  • Participate in emulation, FPGA prototyping, and pre-silicon software bring-up
  • Investigate bugs, perform root-cause analysis, and debug across hardware and software boundaries
  • Perform post-silicon debugging and root-cause analysis
  • Use AI-assisted verification workflows to improve productivity, quality, and coverage

Requirements

  • 10+ years of experience verifying complex digital systems
  • Computer architecture and microarchitecture
  • SoC architecture and digital design fundamentals
  • Low-power methodologies and verification criteria
  • CDC, clocking, and reset verification
  • SystemVerilog, UVM, C, and C++
  • Assertions and coverage-driven verification
  • Formal verification techniques and tools
  • Emulation, FPGA prototyping, or pre-silicon validation
  • Memory systems, interconnect fabrics, caches, DMA engines, processors, or accelerator architectures
  • Complex system-level debugging
  • Experience with safety standards such as ISO 26262, IEC 61508, IEC 61511, or ISO 13849
  • AI, machine learning, or edge AI hardware
  • Robotics, drones, autonomous vehicles, or industrial automation systems
  • QoS, latency-sensitive, or real-time systems
  • Hardware/software co-verification and system-level validation
  • Performance modeling, profiling, and workload characterization

Benefits

  • Equity participation
  • Medical coverage
  • Dental coverage
  • Vision coverage
  • Paid time off
  • Flexible work arrangements

See also

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