$152,000 – $287,500
Listed on NVIDIA’s own careers site. You apply with them directly — we never stand between you and the employer.
What this role is
NVIDIA seeks a deep learning performance architect to design GPU and system architectures that advance AI inference speed and efficiency through hardware-software co-design. This role suits someone with strong ML fundamentals and systems-level performance expertise who wants to guide next-generation GPU architecture decisions.
Our summary, not NVIDIA’s wording. The full posting is on their site.
Skills this role names
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What they ask for
Required
- MS or PhD in CS, EE, Math or equivalent experience
- 5+ years relevant experience
- Strong mathematical foundation in machine learning and deep learning
- Expert programming skills in C, C++, and/or Python
- Familiarity with GPU computing (CUDA or similar)
- Knowledge of HPC stack (MPI, OpenMP)
- Strong knowledge of computer architecture
Nice to have
- Systems-level performance modeling, profiling, and analysis
- Experience characterizing and modeling system-level performance with comparison studies
- Background improving AI inference workloads through CUDA kernel development or custom ASIC compilers