Sr. Staff Engineer - Digital Design Verification (SoC)

Location: Austin, Texas, United States. Must be currently authorized to work in the United States for any employer.

Company

hirify.global develops low-power semiconductor solutions for wearables, medical devices, IoT products, and AI-powered edge applications.

What you will do

• Own end-to-end digital verification at block, subsystem, and full-chip SoC levels.
• Develop verification plans aligned with architecture and design specifications.
• Architect scalable, reusable UVM-based testbenches using SystemVerilog.
• Develop test scenarios, stimulus, monitors, checkers, scoreboards, and self-checking mechanisms.
• Build C/C++ verification libraries and tests for SoC-level validation.
• Automate regressions, coverage collection, results reporting, debugging, and root-cause analysis in collaboration with design teams.

Requirements

• BSEE or MSEE with 8–12 years of hands-on digital design verification experience.
• Multiple tape-outs with silicon functioning to specification.
• Strong experience with block-level, subsystem, and full-chip SoC verification.
• SystemVerilog, UVM, Verilog, constrained-random verification, scoreboarding, and functional and code coverage methodologies.
• C/C++ verification in SoC environments, with experience in processor-based systems such as ARM or RISC-V.
• Experience with complex SoCs, third-party IPs and VIPs, AMBA protocols, DMA, flow control, serial interfaces, and scripting with Python, Perl, and Makefile.

Nice to have

• Experience with edge-based AI inference workloads and ML workload enablement.
• Experience verifying low-power digital architectures and features.
• Experience with security IPs, DSP and compute-heavy subsystems, or high-performance SoC architectures.

Culture & Benefits

• Work on complex semiconductor products for IoT and edge-compute applications.
• Cross-functional collaboration across design, research, development, production, marketing, sales, and operations.
• Values include innovation, collaboration, focus, learning, and achievement.
• Opportunities to contribute to complex, meaningful work in energy-efficient computing.