Design Verification Engineer

About the Team:

OpenAI’s Hardware organization develops AI-native silicon and system-level solutions for the unique demands of advanced AI workloads. Building on efforts like Jalapeño, the team is developing future generations of AI-native silicon and tightly integrated systems to power the next generation of frontier models. By co-designing chips, systems, tools, and methodologies, the team helps deliver faster, more efficient, and production-ready hardware for OpenAI’s supercomputing platform.

About the Role
OpenAI is developing custom silicon to power the next generation of frontier AI models. We’re looking for experienced Design Verification (DV) Engineers to ensure functional correctness and robust design for our cutting-edge ML accelerators. You will play a key role in verifying complex hardware systems—ranging from individual IP blocks to subsystems and full SoC—working closely with architecture, RTL, software, and systems teams to deliver reliable silicon at scale.

In this role you will:

• Own the verification of one or more of: custom IP blocks, subsystems (compute, interconnect, memory, etc.), or full-chip SoC-level functionality.

• Define verification plans based on architecture and microarchitecture specs.

• Develop constrained-random, directed, and system-level testbenches using SystemVerilog/UVM or equivalent methodologies.

• Build and maintain stimulus generators, checkers, monitors, and scoreboards to ensure high coverage and correctness.

• Drive bug triage, root cause analysis, and work closely with design teams on resolution.

• Contribute to regression infrastructure, coverage analysis, and closure for both block- and top-level environments.

You might thrive in this role if you have:

• BS/MS in EE/CE/CS or equivalent with 3+ years of experience in hardware verification.

• Proven success verifying complex IP or SoC designs in industry-standard flows

• Proficient in SystemVerilog, UVM, and common simulation and debug tools (e.g., VCS, Questa, Verdi).

• Strong knowledge of computer architecture concepts, memory and cache systems, coherency, interconnects, and/or ML compute primitives.

• Familiarity with performance modeling, formal verification, or emulation is a plus.

• Experience working in fast-paced, cr