Note: The job is a remote job and is open to candidates in USA. NVIDIA is seeking a Senior Deep Learning Hardware Modeling Architect to join their pioneering team focused on optimizing AI inference performance. This role involves modeling critical components of LLM inference solutions and requires expertise in C++ hardware modeling.
Responsibilities
- Drive architectural specifications to closure across multiple stakeholders
- Develop written specifications for key component-level and system-level designs
- Embody specifications in an executable model used by many customers across NVIDIA
- Ensure high performance using good C++ software practices, solid algorithms and data structures, and parallelism
- Resolve performance and correctness issues across chip and hardware subsystems by working across teams
Skills
- A BS or higher degree in a relevant field (CS, EE, Math) or equivalent experience, with 5+ years of relevant experience
- Expert programming and software skills in C++
- Experience in RTL design and/or architecture with the ability to understand common chip design concepts
- An automation-centered mindset
- A desire to improve work efficiency using AI
- Experience with systems-level/architectural/chip modeling, profiling, and analysis
- Strong combined RTL and C++ skillset
Benefits
- Equity
- Benefits
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