Design Verification Engineer – Physical AI Compute

You develop and execute verification strategies for complex SoC components and systems. You build SystemVerilog and UVM verification environments, define coverage goals, verify hardware and software interactions, analyze performance and real-time behavior, develop assertions and checkers, participate in emulation and FPGA prototyping, and debug issues across hardware and software boundaries.

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 with architects and RTL engineers
• 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 debug and root-cause analysis
• Use AI-assisted verification workflows to improve productivity, quality, and coverage
• Contribute to continuous improvement

Requirements

• Experience verifying complex digital systems
• Strong analytical and problem-solving skills
• Understanding of computer architecture, microarchitecture, SoC architecture, and digital design fundamentals
• Experience with SystemVerilog, UVM, C/C++, assertions, and coverage-driven verification
• Familiarity with formal verification techniques and tools
• Understanding of memory systems, interconnect fabrics, caches, DMA engines, processors, or accelerator architectures
• Experience debugging complex system-level issues
• Ability to work effectively in a collaborative multidisciplinary engineering environment
• Experience with functional safety standards such as ISO 26262, IEC 61508, IEC 61511, or ISO 13849
• Experience with AI, machine learning, or edge AI hardware
• Familiarity with robotics, drones, autonomous vehicles, or industrial automation systems
• Experience verifying QoS, latency-sensitive, or real-time systems
• Experience with hardware-software co-verification and system-level validation

Benefits

• Medical coverage
• Dental coverage
• Vision coverage
• Paid time off
• Flexible work arrangements
• Equity participation
• Performance-based incentives