NVIDIA Corporation

Senior Deep Learning Performance Architect - LPU

NVIDIA Corporation$152K — $287K *
US-Anywhere
+ 2 other locationsRemote
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • MS or PhD in Computer Science, Electrical Engineering, Mathematics, or equivalent experience
  • 5+ years of relevant experience in deep learning and AI
  • Strong mathematical foundation in machine learning and deep learning concepts
  • Expertise in programming with C, C++, and/or Python
  • Familiarity with GPU computing (CUDA or similar) and HPC technologies (MPI, OpenMP)
  • Solid knowledge of computer architecture principles

Responsibilities

  • Design innovative GPU and system architectures to boost AI Inference performance
  • Develop, analyze, and evaluate popular deep learning algorithms and applications
  • Examine how hardware and software architectures affect future algorithms and applications
  • Create effective power and performance models for the AI inference stack
  • Collaborate with cross-functional teams to influence AI direction
  • Guide the development of next-generation hardware architecture based on performance insights

Benefits

  • Equity opportunities within the company
  • Diverse workplace culture that values inclusivity
  • Access to advanced AI tools and technologies
  • Work in a hybrid setup promoting work-life balance
  • Opportunities for professional growth and development
Full Job Description
We are now looking for a Senior Deep Learning Performance Architect!

What you'll be doing:
  • Design novel GPU and system architectures to advance the forefront of AI Inference performance and efficiency
  • Construct, investigate, and test popular deep learning algorithms and applications
  • Understand and analyze the relationship between hardware and software architectures as it influences future algorithms and applications
  • Build efficient power and performance models of AI inference stack, while capturing minimal but significant information to guide next-gen HW architecture
  • Collaborate across the company to guide the direction of AI, working with software, research, and product teams


What we need to see:
  • A MS or PhD in a relevant field (CS, EE, Math) or equivalent experience, with 5+ years of 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) and HPC (MPI, OpenMP) stack
  • Strong knowledge and coursework in computer architecture


Ways to stand out from the crowd:
  • Background with systems-level performance modeling, profiling, and analysis
  • Experience in characterizing and modeling system-level performance, accomplishing comparison studies, and documenting and publishing results
  • Background in improving AI Inference workloads by developing CUDA kernels or compilers for custom ASIC hardware


#LI-Hybrid

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 July 5, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

About NVIDIA Corporation

Nvidia, a global leader in graphics, gaming, and AI technology, offers Nvidia careers and internship opportunities for those passionate about driving innovation in the tech industry. you'll find a company committed to growth, teamwork, and leadership in computer science and machine learning domains.

About Nvidia

A Pioneer in Technology and Innovation

Nvidia has cemented its reputation as a powerhouse in developing advanced graphics processing units (GPUs) and has significantly contributed to the gaming industry's evolution. Moreover, its foray into AI and machine learning has opened new frontiers in technology, making Nvidia a beacon of innovation and a desirable workplace for ambitious tech professionals.

Job Opportunities

Diverse Positions in a Dynamic Field

Nvidia is continuously on the lookout for talented individuals across various domains, including hardware and software engineering, product design, marketing, and sales. Employment opportunities at Nvidia are vast, catering to a wide range of expertise and career aspirations.

Employment in Hardware and Graphics

For those fascinated by the intricacies of hardware and graphics technology, Nvidia offers positions that sit at the forefront of gaming and computing advancements.

Growth in Machine Learning and AI

Nvidia's leadership in AI and machine learning has created numerous vacancies for specialists eager to contribute to groundbreaking projects.

Recruitment in Computer Science

With the constant demand for innovation, Nvidia's recruitment efforts focus on computer science experts capable of pushing the boundaries of what's possible.

Internship Program

Opening Doors to Future Innovators

Nvidia's internship program is designed to nurture the next generation of technology leaders, offering hands-on experience in a culture that celebrates creativity and teamwork.

Benefits and Culture

Interns at Nvidia enjoy a plethora of benefits, from competitive stipends to mentorship opportunities, all within an environment that values growth and learning.

Opportunities for Students

Whether you're an undergraduate, a master's student, or a Ph.D. candidate, Nvidia's internships provide a real-world glimpse into the tech industry, offering valuable experience in various technology fields.

Pathways to Full-Time Employment

Many interns have transitioned into full-time positions, marking the start of successful careers at Nvidia. The internship program is more than a stepping stone into the company; it’s an investment in the professional development of interns. The goal is to ensure that interns are well-equipped for future challenges.

Nvidia Careers: More Than Just a Job

Nvidia offers more than just a job to its employees; it provides a front-row seat on the journey into the future of technology. Nvidia stands as a pillar of innovation with its vast opportunities in hardware, graphics, gaming, machine learning, and computer science. Nvidia careers serve as a launching pad for talented workers who aim to redefine the technological landscape. Whether through full-time positions or internships, joining Nvidia means contributing to a legacy of breakthroughs and becoming part of a global community dedicated to pushing the boundaries of what's possible.
Learn more about NVIDIA Corporation
Size
22,473 employees
Market Cap
$350.4 billion
Industry
Net Income
$4.3 billion
Founded
1993
5 Year Trend
+31.3%
Revenue
$16.6 billion
NASDAQ

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