GPU Architect
| Company | Intel |
|---|---|
| Location | Austin, TX, USA, Santa Clara, CA, USA, Hillsboro, OR, USA, Folsom, CA, USA, Phoenix, AZ, USA |
| Salary | $161230 – $227620 |
| Type | Full-Time |
| Degrees | Bachelor’s, Master’s, PhD |
| Experience Level | Senior |
Requirements
- Bachelor’s degree in Electrical/Computer/Software Engineering, Computer Science or any related field with 5+ years of relevant experience
- OR Master’s degree in Electrical/Computer/Software Engineering, Computer Science or any related field with 3+ years of relevant experience
- OR PhD in Electrical/Computer/Software Engineering, Computer Science or any related field with 1+ years of relevant experience
- Experience in GPU and/or CPU design
- Experience in Architecture/Microarchitecture
- Experience in low power design
- Experience in performance analysis and attainment
Responsibilities
- Develops and drives end-to-end GPU architecture specifications across graphics, compute, media, or display for highly optimized, modular, and scalable GPU
- Conducts competitive analysis and standards efforts, industry trends, and customer requests to develop hardware and software feature roadmap meeting platform needs
- Ensures interoperability of hardware and software throughout the product life cycle
- Drives GPU functionality, connectivity, configuration, performance, timing, power, and area goals
- Evaluates feasibility tradeoffs and explores and defines new approaches and novel architectures for GPU
- Delivers optimized GPU for multiple segments spanning from ultralow power through client and into high performance GPU, supercomputer, and customized GPU offerings
- Develops testing approach and preliminary test plans, performs behavioral and/or performance modeling of new features and configurations, and conducts analysis of results using advanced statistics and data predictions for benchmarking and determining ROI of areas for improvement
- Provides experimental/proofofconcept changes for proposing design alternatives meeting performance, power, area, and timing constraints
- Reviews, challenges, and influences crossfunctional roadmaps and defines technology targets for future GPUs
- Collaborates with architects, design engineers, verification engineers, and research teams to improve the overall design of GPU and overcome performance bottlenecks and constraints
- Works hand-in-hand with pre-silicon and post-silicon teams to debug, root cause, and identify workarounds and solutions for critical failures.
Preferred Qualifications
- Graphics and 3D programming
- Experience in AI/ML algorithms
- Experience in ISA (Instruction Set Architecture) definition
- Expertise in C++, Python, RTL design