Senior Deep Learning Hardware Modeling Architect - LPU

NVIDIA
United States
Workplace: HybridFull timeUSD 152,000 - 241,500 annuallyFunction: Data Science & Machine LearningExperience: 5+ yearsEducation: bachelorsSkills: ["Problem-solving","Collaboration","Teamwork","Communication","Adaptability"]

Lead the architecture and modeling of DL hardware for AI inference, driving specifications across teams, crafting component and system-level designs, and delivering executable models that enable high-performance C++-based implementations and scalable hardware-software co-design for NVIDIA’s DL inference solutions.

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FursaFursa
NVIDIA
NVIDIA
3 months ago

Senior Deep Learning Hardware Modeling Architect - LPU

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live

Job Summary

Lead the architecture and modeling of DL hardware for AI inference, driving specifications across teams, crafting component and system-level designs, and delivering executable models that enable high-performance C++-based implementations and scalable hardware-software co-design for NVIDIA’s DL inference solutions.
Location: United States
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Sr. Manager level

Key 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.

Pay and Benefits

Salary: USD 152,000 - 241,500 annually
Equity and Bonus:Equity
Perks:Equity

Key Requirements

  • •A BS or higher degree in 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:5+ yearsAI hardwareDLHardware modelingLLM inference
Education:Bachelor's
Skills:Problem-solvingCollaborationTeamworkCommunicationAdaptability
Tech Stack:C++RTLHardware modelingAILLMParallelismAlgorithmsData structures

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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