Design Verification Engineer (AI Hardware)

Location: On-site in Austin, with regular time spent working alongside the team in San Jose. During the first quarter, approximately two weeks per month are expected at the San Jose headquarters; afterward, approximately one week per month.

Salary: $150K–$275K plus significant equity.

Company

hirify.global builds frontier AI inference hardware by co-designing chips, racks, software, and manufacturing systems for high throughput and low latency.

What you will do

• Own end-to-end design verification for IP subsystems such as PCIe, Ethernet, CPU, low-power peripherals, and sensors.
• Understand vendor IP configurations and coordinate with internal IP teams.
• Develop and maintain UVM/SystemVerilog verification environments for functional correctness, performance, and specification compliance.
• Collaborate with integration and SoC design verification teams to validate external IP within the chip architecture.
• Define coverage metrics, analyze gaps, and drive coverage closure and verification sign-off across corner cases and stress scenarios.

Requirements

• 5+ years of design verification experience.
• Hands-on experience with SystemVerilog, UVM, and scalable, reusable testbench development.
• Experience with standard IP interfaces and protocols such as PCIe, Ethernet, AXI/AMBA, or ARM/ARC CPUs.
• Ability to investigate complex verification challenges and identify corner-case bugs.
• Experience collaborating across RTL design, software, emulation, integration, and SoC verification teams.
• Ability to work on-site in Austin and regularly work from the San Jose headquarters.

Nice to have

• Experience managing vendors and integrating IP or VIP.
• Additional UVM/SystemVerilog experience.

Culture & Benefits

• Medical, dental, and vision coverage with generous premium support.
• $500 monthly credit for waiving medical benefits.
• Wellness benefits for fitness, mental health, and other needs.
• Daily lunch and dinner at the office.
• Unlimited compute budget subject to return-on-investment justification.
• Engineering and research work across disciplines without strict boundaries.