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# GPU Hardware Engineer

- **Company:** Ultimate Staffing Services
- **Location:** San Jose, CA, United States
- **Salary:** $87,000.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Boolean Algebra, Computer Engineering, Software Debugging, Firmware, Formal Verification, PCI Express, Performance Tuning, SystemVerilog, Verilog, Graphics Processing Unit (GPU), Application Specific Integrated Circuits, Fpga Hardware, Parallel Computation, Information Technology, Optimization Algorithms, Data Pipelines, Hardware Debugging
- **Published:** July 4, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=72a1e66c8b50ea14

## About the Role

* 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

## Description

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


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