GPU Hardware Engineer

We’re hiring a GPU Hardware Engineer to design, develop, and validate next-generation GPU hardware architectures supporting graphics, AI/ML workloads, and high-performance parallel computing applications. This role involves working on GPU microarchitecture, performance optimization, verification, and collaboration across silicon, firmware, and software teams., * Design and develop GPU hardware blocks and microarchitecture features

• Define and optimize graphics, compute, and AI processing pipelines
• Analyze performance, power, area, and timing tradeoffs
• Develop RTL designs using Verilog/SystemVerilog
• Perform functional verification, debugging, and validation of GPU hardware
• Collaborate with architecture, software, firmware, and silicon validation teams
• Investigate and resolve hardware performance bottlenecks
• Support bring-up, testing, and characterization of new GPU silicon

• Bachelor’s degree in Computer Engineering, Electrical Engineering, Computer Science, or related field
• Strong understanding of digital logic design and computer architecture
• Experience with RTL design (Verilog/SystemVerilog)
• Knowledge of GPU architecture, graphics pipelines, and parallel processing concepts
• Familiarity with hardware verification methodologies and debugging tools
• Understanding of memory hierarchies, cache systems, and high-speed interfaces

Nice to Have

• Experience with ASIC or FPGA development
• Knowledge of AI/ML accelerators and hardware optimization techniques
• Familiarity with PCIe, HBM, GDDR, or other high-performance memory technologies
• Experience with performance modeling and silicon validation
• Exposure to graphics APIs and GPU driver interactions

Preferred Skills

• GPU microarchitecture design
• RTL development and verification
• Performance and power optimization
• Hardware debugging and validation
• Cross-functional collaboration
• Strong analytical and problem-solving abilities