2027 New College Graduate: GPU Architecture Engineering

We're seeking strategic, ambitious, hard-working, and creative individuals who are passionate about helping us tackle challenges no one else can solve.

Job Description:

As a 2027 New College Graduate: GPU Architecture Engineering, you will have the opportunity to work on various projects, including:

• GPU Architecture Modeling and Performance Analysis: Conduct quantitative studies of current and future GPU architectures; develop performance and functional models; analyze graphics and parallel-compute pipelines; identify bottlenecks and propose architectural improvements.
• SoC Performance Simulation and Workload Analysis: Build and enhance performance simulators and modeling frameworks; capture, replay, and profile complex real-world application workloads; evaluate current and next-generation SoC performance across use cases.
• GPU/System Functional Validation Platform Development: Develop pre-silicon programming and test environments for next-generation GPU and system features; work across architecture, hardware, and software teams throughout the chip development lifecycle.
• GPU Functional Verification and Test Generation: Create directed and constrained-random test plans with strong coverage; generate, run, and debug tests across functional simulators, unit- and full-chip RTL, emulators, and post-silicon platforms.
• GPU and Memory-System Architecture Exploration: Explore novel GPU composition, processing, storage, and memory-system capabilities; partner with architects to validate new features and improve performance, functionality, and test coverage.
• Performance Profiling, Debugging, and Optimization: Profile system and application behavior, diagnose GPU/SoC performance bottlenecks, and develop tools and methodologies that improve analysis efficiency and overall application performance.
• Simulation, Emulation, and Silicon Bring-Up: Validate designs across multiple stages,from architectural models and RTL simulation to emulation and real silicon,and debug functional or performance issues before and after product release.

Requirements:

• Expected to graduate in 2027 with a Bachelor's, Master's, or PhD degree in Electrical Engineering, Computer Engineering, or a related field
• Computer Architecture, GPU Architecture, Microprocessor Design, or Memory Systems
• C/C++, Python, Linux, and object-oriented software development
• GPU programming and debugging, including CUDA
• Performance/functional modeling, profiling, trace-driven or execution-driven simulation
• Computer systems, compilers, assembly language, and system modeling tools such as SystemC
• ASIC design, verification, RTL, random-test development, or post-silicon validation
• Deep learning model development or AI workload optimization