NVIDIA Corporation

Senior Deep Learning Performance Architect

NVIDIA Corporation$184K — $287K *
Information Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • MS or PhD in Computer Science, Electrical Engineering, or related field or equivalent experience.
  • 4+ years in parallel computing architectures and deep learning applications.
  • Experience evaluating GPU or Deep Learning ASIC architecture for training/inference.
  • Strong programming proficiency in C++ and Python.

Responsibilities

  • Develop cutting-edge hardware architectures for enhanced parallel computing.
  • Benchmark and analyze AI workloads in both single and multi-node setups.
  • Create high-level simulator and analysis tools using C++/Python.
  • Assess performance, power, and area (PPA) for hardware features and architecture trade-offs.
  • Collaborate with architecture teams and product management on product development.
  • Stay updated with emerging trends in deep learning.

Benefits

  • Access to equity opportunities.
  • Comprehensive benefits package.
  • Diverse and inclusive work environment.
Full Job Description
We are now looking for a Senior Deep Learning Performance Architect!

NVIDIA is seeking outstanding Performance Analysis Architects to help analyze and develop the next generation of architectures that accelerate AI and high-performance computing applications.

What you'll be doing:
  • Develop innovative HW architectures to extend the state of the art in parallel computing performance, energy efficiency and programmability.
  • Benchmark and analyze AI workloads in single and multi-node configurations.
  • Develop high level simulator and analysis tools in C++/Python.
  • Evaluate PPA (performance, power, area) for hardware features and system-level architectural trade-offs.
  • Work closely with peer architecture teams and product management to guide development of the products.
  • Keep abreast with emerging trends and research in deep learning.


What we need to see:

  • MS or PhD in a relevant discipline (Computer Science, Electrical Engineering, Computer Engineering, etc) or equivalent experience.
  • 4+ years of experience in parallel computing architectures, interconnect fabrics and deep learning applications.
  • Background in GPU or Deep Learning ASIC architecture evaluation for training and/or inference.
  • Strong programming skills in Python and C++.


Ways to stand out from the crowd:

  • Solid fundamental knowledge in computer architecture and interconnect fabrics.
  • Understanding of modern transformer-based model architectures.
  • Ability to simplify and communicate rich technical concepts to non-technical audience.
  • Have a curious demeanor with excellent problem-solving skills.


Your base salary will be determined based on your location, experience, and the pay of employees in similar positions. The base salary range is 184,000 USD - 287,500 USD.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until January 13, 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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