NVIDIA Corporation

Senior Deep Learning Performance Architect

NVIDIA Corporation$184K — $356K *
Information Technology
5 - 7 years of experience
Job Overview by Ladders

Qualifications

  • MS or PhD in Computer Science, Computer Engineering, Electrical Engineering, or equivalent experience
  • 6+ years of relevant work experience
  • Strong background in GPU or Deep Learning ASIC architecture for distributed training/inference
  • Experience with performance modeling and architecture simulation
  • Solid foundation in machine learning, deep learning, and understanding of transformer-based architectures
  • Strong programming skills in Python, C, C++

Responsibilities

  • Develop innovative architectures to enhance deep learning performance and efficiency
  • Analyze performance, cost, and power trade-offs using analytical models and simulations
  • Examine hardware and software architecture interactions on algorithms and applications
  • Evaluate performance, power, and area (PPA) for hardware features and architectural trade-offs
  • Collaborate with software, product, and research teams to inform deep learning hardware and software direction

Benefits

  • Eligibility for equity
  • Comprehensive benefits package
  • Opportunity to work on industry-leading technologies
  • Collaborative and innovative work environment
  • Career development and growth opportunities
Full Job Description
We are now seeking a Senior Deep Learning Performance Architect! NVIDIA is looking for outstanding Performance Architects with a background in performance analysis, performance modeling, and AI/deep learning 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 architectures to extend the state of the art in deep learning performance and efficiency
  • Analyze performance, cost and power trade-offs by developing analytical models, simulators and test suites
  • Understand and analyze the interplay of hardware and software architectures on future algorithms, programming models and applications
  • Evaluate PPA (performance, power, area) for hardware features and system level architectural trade-offs. Develop high level simulators in C++/Python
  • Actively collaborate with software, product and research teams to guide the direction of deep learning HW and SW


What we need to see:
  • MS or PhD in Computer Science, Computer Engineering, Electrical Engineering or equivalent experience
  • 6+ years of relevant meaningful work experience
  • Strong background in GPU or Deep Learning ASIC architecture for distributed training and/or inference spanning multi-chip/multi-node
  • Experience with performance modeling, architecture simulation, profiling, and analysis
  • Solid foundation in machine learning and deep learning. Understanding of modern transformer-based architectures and their performance at scale.
  • Strong programming skills in Python, C, C++


Ways to stand out from the crowd:
  • Background with deep neural network training, inference and optimization in leading frameworks (e.g. Pytorch, JAX, TensorRT)
  • Familiarity with advanced optimizations and SW/HW co-design in LLM training and inference
  • Exposure to using AI to accelerate SW engineering
  • Demonstration of self-motivation and creative / critical thinking


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 for Level 4, and 224,000 USD - 356,500 USD for Level 5.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until June 7, 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

Similar Jobs

More Jobs at NVIDIA Corporation

More Information Technology Jobs

Find similar Senior Deep Learning Performance Architect jobs: