NVIDIA Corporation

Senior Software Engineer, NIM Model Customization

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

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or equivalent experience.
  • 7+ years of experience with LLM serving infrastructure (vLLM, TRT-LLM, or equivalent).
  • Experience in utilizing model customization tools including LoRA, QLoRA, supervised fine-tuning (SFT), reinforcement learning (RL), preference optimization, and retrieval-augmented generation (RAG).
  • Deep understanding of model quantization and fine-tuning workflows.
  • Proven history of developing robust platform APIs.
  • Strong collaborative skills and experience working in cross-functional teams.
  • Outstanding problem-solving abilities and meticulous attention to detail.

Responsibilities

  • Compose and build the fine-tuning handoff pipeline, integrating various model customization techniques.
  • Develop a comprehensive evaluation harness to ensure high standards for models.
  • Implement an observability and attestation layer for compliance artifact generation.
  • Collaborate closely with ISVs and CSPs for large-scale NVIDIA NIM deployment.
  • Define and enhance durable platform APIs, avoiding one-off integrations.
  • Manage projects with strict attention to detail, utilizing proven methodologies.

Benefits

  • Generous benefits package including equity options.
  • Competitive salaries.
  • Work alongside some of the most innovative and skilled professionals in the tech industry.
Full Job Description
As a Senior Software Engineer, NIM Tools, you will have the remarkable opportunity to build a groundbreaking model customization and deployment lifecycle platform from inception. This isn't just another feature team-you will be defining the structure for a new product surface accessed by ISVs and CSPs internationally. Your work will empower customers to take models from selection through fine-tuning, evaluation, deployment, and compliance flawlessly.

What you'll be doing:
  • Compose and build the fine-tuning handoff pipeline, including LoRA adapter repackaging, re-quantization, and re-validation into NIM.
  • Develop the evaluation harness, ensuring models meet our high standards.
  • Implement the observability and attestation layer to produce auditable compliance artifacts.
  • Work in close partnership with ISVs and CSPs to roll out NVIDIA NIMs on a large scale.
  • Define and improve durable platform APIs, steering clear of one-off integrations.
  • Ensure flawless completion of projects through strict attention to detail and proven methodologies.


What we need to see:
  • Bachelor's degree in Computer Science, Engineering, or equivalent experience.
  • Experience in utilizing model customization tools: LoRA, QLoRA, supervised fine-tuning (SFT), reinforcement learning (RL), preference optimization (e.g., DPO), and retrieval-augmented generation (RAG)
  • 7+ years of experience with LLM serving infrastructure (vLLM, TRT-LLM, or equivalent).
  • Deep understanding of model quantization and fine-tuning workflows.
  • Demonstrated history of developing robust platform APIs.
  • Strong collaborative skills and experience working in cross-functional teams.
  • Outstanding problem-solving skills and meticulous attention to detail.


Ways to stand out from the crowd:
  • Experience with large-scale deployment of AI models.
  • Familiarity with compliance and audit processes for AI models.
  • Contributions to open-source AI projects.
  • Strong publication record in relevant fields.
  • Excellent communication skills and a passion for mentorship.


With competitive salaries and a generous benefits package, we are widely considered to be one of the technology world's most desirable employers. We have some of the most forward-thinking and hardworking people in the world working for us and, due to unprecedented growth, our exclusive engineering teams are rapidly growing. If you're a creative and autonomous engineer with a real passion for technology, we want to hear from you.

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 August 30, 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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