NVIDIA Corporation

Senior Software Engineer, Machine Learning Inference

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

Qualifications

  • BS, MS, PhD or equivalent experience in Computer Science or related field.
  • 4+ years of software development experience on large codebases.
  • Strong proficiency in C++ (required), Rust or Python programming.
  • Experience in developing Deep Learning Frameworks, Compilers, or System Software.
  • Excellent problem-solving skills and ability to thrive in a collaborative environment.
  • Strong communication skills for articulating complex technical concepts.

Responsibilities

  • Design, develop and optimize NVIDIA TensorRT and TensorRT-LLM for datacenter, workstation, and PC applications.
  • Develop software using C++, Python, and CUDA for deploying LLMs and Generative AI models efficiently.
  • Collaborate with deep learning experts and GPU architects to influence hardware and software design.

Benefits

  • Equity opportunities in addition to salary.
  • Hybrid work model available.
  • Access to cutting-edge technology and tools.
  • Opportunity to work with industry leaders in AI and GPU technology.
Full Job Description
As a Senior Software Engineer in the TensorRT team, you will be responsible for designing and implementing inference software optimizations to power AI applications on NVIDIA GPUs. If you're ready to take on challenging projects and make a significant impact in a company that values creativity, excellence, and collaboration, we want to hear from you!

What you'll be doing:
  • Design, develop and optimize NVIDIA TensorRT and TensorRT-LLM to supercharge inference applications for datacenter, workstations, and PCs.
  • Develop software in C++, Python, and CUDA for seamless and efficient deployment of state-of-the-art LLMs and Generative AI models.
  • Collaborate with deep learning experts and GPU architects throughout the company to influence Hardware and Software design for inference.


What we need to see:
  • BS, MS, PhD or equivalent experience in Computer Science, Computer Engineering or a related field.
  • 4+ years of software development experience on a large codebase or project.
  • Strong proficiency in C++ (required), Rust or Python programming languages.
  • Experience in developing Deep Learning Frameworks, Compilers, or System Software.
  • Excellent problem-solving skills and passion to learn and work effectively in a fast-paced, collaborative environment.
  • Strong communication skills and the ability to articulate complex technical concepts.


Ways to stand out from the crowd:
  • Experience in developing inference backends and compilers for GPUs.
  • Knowledge of Machine Learning techniques and GPU programming with CUDA or OpenCL.
  • Background in working with LLM inference frameworks like TensorRT-LLM, vLLM, SGLang.
  • Experience working with deep learning frameworks like TensorRT, PyTorch, JAX.
  • Knowledge of close-to-metal performance analysis, optimization techniques, and tools.


#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 August 9, 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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