NVIDIA Corporation

Senior Deep Learning Software Engineer, DLSim

NVIDIA Corporation$152K — $287K *
Enterprise Technology
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • Master's (or equivalent experience) in Computer Science, Computer Engineering, or a related STEM field; PhD preferred.
  • 3+ years of experience in compiler optimization, architectural simulation, or related areas.
  • Hands-on experience with MLIR and compiler infrastructure.
  • Proficient in C/C++ and Python programming, including design and performance analysis.
  • Strong communication and collaboration skills in a fast-paced environment.

Responsibilities

  • Develop simulation backends for scalable AI workload evaluation across NVIDIA compilers.
  • Enhance deep learning compiler kernel code generation and optimization using performance insights.
  • Advance modeling and optimization of datacenter-scale AI workloads and deployment scenarios.
  • Collaborate with architects and software teams on evaluating future GPU features.
  • Guide design decisions for silicon and system-level based on evaluations.

Benefits

  • Equity participation in the company's growth.
  • Participation in benefits program.
Full Job Description
The DL Performance Modeling Team's core mission is to deliver full stack simulation infrastructure for deep learning applications across a spectrum of GPUs. We actively collaborate with architecture, software, product, and research teams to shape and refine the strategic roadmap of DL hardware and software

We are now looking for a Deep Learning Software Engineer to help develop simulation infrastructure. The software rapidly assesses new AI-accelerating GPU hardware and software advancements.

What you'll be doing:
  • Develop simulation backends that enable fast, scalable evaluation of AI workloads across NVIDIA compiler stacks.
  • Improve deep learning compiler kernel code generation and computational graph optimization using analysis based on modeled scenarios and performance insight.
  • Advance the modeling and optimization of datacenter-scale AI workloads and deployment scenarios.
  • Partner with architects and software teams to evaluate future GPU features and guide silicon and system-level design decisions.


What we need to see:
  • A Masters (or equivalent experience) in Computer Science, Computer Engineering, or a related STEM field; PhD preferred.
  • 3+ years of relevant experience in compiler optimization, architectural simulation, or related areas.
  • Strong hands-on experience with MLIR and compiler infrastructure.
  • Excellent C/C++ and Python programming skills, including software design, debugging, performance analysis, and test development.
  • Strong communication and collaboration skills, with the ability to thrive in a fast-paced, multi-functional, outcome-focused environment.


Ways to stand out from the crowd:
  • Experience designing and building compiler frameworks or intermediate representations from the ground up.
  • Deep understanding of LLM inference workloads and their implications for computer architecture.
  • Hands-on experience implementing and optimizing complex AI workloads on CPUs, GPUs, or custom accelerators.


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 August 28, 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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