Senior Deep Learning Hardware Modeling Architect - LPU
$152k - $288k • US, CA, Remote
Posted 1d ago
Remote Work Policy
On-site
Categories
Machine Learning Engineer
About the job
NVIDIA seeks a Senior Deep Learning Hardware Modeling Architect to join a team focused on pushing the performance boundaries of AI inference through ambitious hardware-software co-design. This role offers a unique opportunity to model critical components of world-class LLM inference solutions, contributing to the state of the art in LLM inference hardware. The ideal candidate is passionate about this domain and possesses a proven record of C++ hardware modeling experience.
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 customers.
- Ensure high performance using C++ software practices, solid algorithms, data structures, and parallelism.
- Resolve performance and correctness issues across chip and hardware subsystems by collaborating with cross-functional teams.
Requirements
- BS or higher degree in a relevant field (CS, EE, Math) or equivalent experience.
- 5+ years of relevant experience.
- Expert programming and software skills in C++.
- Experience in RTL design and/or architecture with an understanding of common chip design concepts.
- An automation-centered mindset.
- A desire to improve work efficiency using AI.
Benefits
- Equity
- Benefits