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Tier-1 brand, mid-level role and metro location increase qualified applicant density despite niche GPU specialization.
High — specialized GPU, simulation and low-level C++ systems skills limit cross-industry transferability.
High — explicit 3+ years plus strong C++, system software, and simulation requirements tightly filter candidates.
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Design and architect features in GPU compute and graphics stimulus development frameworks for functional and performance verification.
Develop core infrastructure and tools such as debuggers and disassemblers to support GPU modeling, analysis, and debugging across the chip lifecycle.
Collaborate with GPU architects and hardware/software teams to enhance GPU software ecosystem and speed up development workflows for chip modelers and designers.
Bachelor's or Master's degree in Computer Science, Computer Engineering, or equivalent experience.
3+ years of experience primarily working on C++ based projects with strong C++ programming skills.
Knowledge of object-oriented design patterns and strong understanding of system software and operating systems.
Experience with massively parallel algorithm design; experience with chip or system simulation is a significant plus.
Experienced in designing and developing complex parallel computation frameworks and GPU development tools.
Proficient in working closely with hardware and software teams to accelerate GPU software ecosystem development.
Has exposure to graphics and CUDA APIs, and understands GPU architecture and performance modeling challenges.