GPU Validation Engineer (AI)

TL;DR

GPU Validation Engineer (AI): Performing functional verification of graphics logic components for advanced graphics solutions with an accent on microarchitecture specifications and simulation environment development. Focus on identifying bugs, analyzing power and timing, and ensuring robust verification of complex graphics features in pre-silicon environments.

Location: Must be based in the US (Hybrid model in Folsom or Santa Clara, California).

Salary: $164,470–$269,100 USD

Company

hirify.global is a global leader in technology innovation, delivering world-changing hardware and software solutions that power computing across data centers, AI, and consumer devices.

What you will do

• Perform functional verification of 3D graphics, media, and display logic components.
• Develop scalable IP verification plans and test benches to confirm microarchitecture specifications.
• Execute verification plans and run system simulation models to identify bugs and analyze performance.
• Debug issues in pre-silicon environments and implement corrective measures.
• Collaborate with architects, RTL developers, and physical design teams to enhance verification processes.
• Document test plans and drive technical reviews with design and architecture teams.

Requirements

• Bachelor's or Master's degree in Electronics, Computer Engineering, or related field.
• 6+ years of experience (Bachelor's) or 4+ years (Master's) in silicon design and frontend validation.
• Strong technical proficiency in C, C++, Python, and SystemVerilog.
• Expertise in hardware simulation, validation tools, and debugging methodologies.
• Must be authorized to work in the United States.

Nice to have

• Experience with OVM/UVM-based test benches and formal verification tools.
• Deep knowledge of graphics architecture and microarchitectural features.

Culture & Benefits

• Competitive total compensation package including base pay and stock bonuses.
• Comprehensive health, retirement, and vacation benefit programs.
• Hybrid work model allowing flexibility between on-site and off-site work.
• Opportunity to work on high-impact, industry-leading graphics and AI technology.