Graphics Power Performance Modelling Staff Engineer
1 week ago
*Job Role*
- Analyze and evaluate GPU architecture/microarchitecture and workload for performance and power optimizations
- GPU power modeling and estimation for projection and correlation
- GPU workload analysis, profiling, and characterizations
- Analyze, model, and minimize GPU register, logic, memory, and clock power
- Develop and maintain tests for pre-silicon and post-silicon power verifications.
- Work closely with multiple teams such as RTL designer, architecture, design verification, compiler, driver, silicon implementation, and post-silicon teams
- Knowledge of Graphics architecture is a plus
Additional Job Description
- Preferred Qualifications:
- Master's or PhD degree or equivalent in Computer Engineering, Computer Science, Electrical Engineering, or related field.
- 5+ years Systems Engineering or related work experience
- 3+ years of experience with advanced CPU/GPU architecture/microarchitecture design development
- 5+ years of experience with VLSI design and verification
- 5+ years of experience with low-power ASIC design techniques
- Experience with industry tools such as PrimeTime PX and Power Artist
- Experience with Vulkan, DirectX3D, OpenGL, OpenCL, or Cuda development
- Experience with GPU driver and compiler development
- Skills: C/C++ Programming Language, Scripting (Python/Perl), Assembly, Verilog/SystemVerilog, Design Verification
- Additional Job Description
Minimum Qualifications: - Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 4+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
PhD in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
Minimum Qualifications:
- Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 3+ years of Systems Engineering or related work experience.
OR
Master's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Systems Engineering or related work experience.
OR
- PhD in Engineering, Information Systems, Computer Science, or related field and 1+ year of Systems Engineering or related work experience.
Preferred Qualifications:
- Master's or PhD degree or equivalent in Computer Engineering, Computer Science, Electrical Engineering, or related field.
- 3+ years of experience with advanced CPU/GPU architecture/microarchitecture design development
- 5+ years of experience with VLSI design and verification
- 5+ years of experience with low-power ASIC design techniques
- Experience with industry tools such as PrimeTime PX and Power Artist
- Experience with Vulkan, DirectX3D, OpenGL, OpenCL, or Cuda development
- Experience with GPU driver and compiler development
- Skills: C/C++ Programming Language, Scripting (Python/Perl), Assembly, Verilog/SystemVerilog, Design Verification
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