Jobs · Engineering · Massachusetts

Senior Deep Learning Hardware Modeling Architect - LPU

NVIDIA · Massachusetts, United States · 1 mo ago
HybridEngineeringFull-time

What You'll Be Doing

  • 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.

What We Need To See

  • 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.

Ways To Stand Out From The Crowd

  • Experience with systems-level/architectural/chip modeling, profiling, and analysis.
  • A strong combined RTL and C++ skillset.

Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 152,000 USD - 241,500 USD for Level 3, and 184,000 USD - 287,500 USD for Level 4. You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 29, 2026. This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes. NVIDIA is committed to fostering an inclusive work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

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