NVIDIA
Senior Deep Learning Hardware Modeling Architect - LPU
$152K–$288K
US, CA, Remote +2 · Senior · Full-time · Posted Aug 6, 2026
- Location
- US, CA, Remote
US, TX, Remote
US, MA, Remote - Experience
- 5+ years of relevant experience.
- Education
- BS or higher degree in a relevant field (CS, EE, Math) or equivalent experience.
About the job
Architect and model hardware components and systems for high-performance, efficient LLM inference, translating specifications into executable C++ models.
What you'll do
- Drive architectural specifications and develop component- and system-level design specifications.
- Build and maintain executable models using strong C++ practices, algorithms, data structures, and parallelism.
- Resolve performance and correctness issues across chips and hardware subsystems with cross-functional teams.
What they ask for
- BS or higher in a relevant field (CS, EE, Math) or equivalent experience.
- Expert C++ programming and software skills.
- Experience in RTL design and/or architecture, with understanding of common chip design concepts.
- Automation-centered mindset and desire to improve work efficiency using AI.
Nice to have
- Systems-level, architectural, or chip modeling, profiling, and analysis experience.
- Strong combined RTL and C++ skillset.
Pay
152,000 USD - 241,500 USD base salary (Level 3); 184,000 USD - 287,500 USD base salary (Level 4)
Tools
C++, RTL
AI focus
The role develops hardware models for LLM inference and calls for using AI to improve work efficiency. NVIDIA also states that it uses AI tools in recruiting.
Model-written summary · the original posting is authoritative