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Full Time Large Language Model Llm Jobs (NOW HIRING)

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

Founded by Harvard-trained physicians with a vision of offering patient-first care beyond the hospital settings, we've grown into the nation's largest network of outpatient vein, fibroid, vascular ...

AMSYS Talent

LLM Infrastructure Engineer

Houston, TX · On-site

$97K - $127K/yr

We are looking for a Senior Python / AI API Engineer to build and deploy production-grade services powering Large Language Model (LLM) applications. This role focuses on developing high-performance ...

USA Clinics Group

LLM Engineer

Northbrook, IL

$85K - $115K/yr

... Large Language Model (LLM) solutions that automate business processes, improve operational ... Schedule: Full-time, Monday through Friday on-site. * Compensation: $85,000 - $115,000 Key ...

USA Clinics Group

LLM Engineer

Northbrook, IL · On-site

$85K - $115K/yr

... Large Language Model (LLM) solutions that automate business processes, improve operational ... Schedule: Full-time, Monday through Friday on-site. * Compensation: $85,000 - $115,000 Key ...

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How much do full time large language model llm jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for full time large language model llm in the United States is $24.34, according to ZipRecruiter salary data. Most workers in this role earn between $18.99 and $29.09 per hour, depending on experience, location, and employer.

What is the difference between Full Time Large Language Model Llm vs Data Scientist?

AspectFull Time Large Language Model LlmData Scientist
Required CredentialsAdvanced degrees in AI, NLP, or related fields; experience with machine learning frameworksDegree in Data Science, Statistics, Computer Science; certifications like Certified Data Scientist
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics teams, research departments, tech firms
Industry UsageAI product development, NLP applications, machine learning researchData analysis, predictive modeling, business insights

While both roles require strong technical skills and familiarity with data and algorithms, Full Time Large Language Model Llm specialists focus on developing and fine-tuning AI models like NLP systems, whereas Data Scientists analyze data to generate insights and support decision-making. The roles often overlap in skills but differ in primary focus and application.

More about Full Time Large Language Model Llm jobs
What are the most commonly searched types of Large Language Model Llm jobs? The most popular types of Large Language Model Llm jobs are:
What job categories do people searching Full Time Large Language Model Llm jobs look for? The top searched job categories for Full Time Large Language Model Llm jobs are:
Full Time Large Language Model Llm jobs near you
Infographic showing various Full Time Large Language Model Llm job openings in the United States as of July 2026, with employment types broken down into 74% Full Time, 24% Part Time, and 2% Contract. Highlights an 96% Physical, 1% Hybrid, and 3% Remote job distribution, with an average salary of $50,625 per year, or $24.3 per hour.

Manager, Large Language Model Inference

Nvidia

Santa Clara, CA • Hybrid

Full-time

Re-posted 5 days ago

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 17 frontline employees who took The Breakroom Quiz

8th of 241 rated software companies

Job description

At NVIDIA, we aren't just powering the AI revolution-we're accelerating it. The TensorRT inference platform is the backbone of modern AI, delivering the industry's fastest and most efficient deployment of cutting-edge deep learning models on every NVIDIA GPU. With demand for AI exploding, particularly in the realm of large language models (LLMs) and vision language models (VLMs, VLAs), we are significantly expanding our team. We're seeking a highly skilled and driven Engineering Manager to take the lead in developing the next generation of LLM/VLM/VLA inference software technologies that will define the future of AI. This is a high-impact, hands-on leadership role at the intersection of deep technical expertise and world-class management. You won't just manage; you'll architect and guide a brilliant team of engineers who are building the core LLM inference runtime. Your work will be highly collaborative, interfacing directly with NVIDIA Researchers, GPU Architects, and other teams across the company to ensure we ship production-grade, lightning-fast software that sets the global standard for AI performance.

What You'll Be Doing:

  • Lead and grow a team responsible for specialized kernel development, runtime optimizations, and frameworks for LLM inference.

  • Drive the design, development, and delivery of production inference software, targeting NVIDIA's next-generation enterprise and edge hardware platforms.

  • Integrating cutting-edge technologies developed at NVIDIA and offering an intuitive developer experience for LLM deployment.

  • Lead software development execution, with responsibility for project planning, milestone delivery, and cross-functional coordination.

What We Need to See:

  • MS, PhD, or equivalent experience in Computer Science, Computer Engineering, AI, or a related technical field.

  • 7+ overall years of overall software engineering experience, including 3+ years of technical leadership experience.

  • Proven ability to lead and scale high-performing engineering teams, especially across distributed and cross-functional groups.

  • Strong background in C++ or Python, with expertise in software design and delivering production-quality software libraries.

  • Demonstrated expertise in large language models (LLM) and/or vision language models (VLM).

Ways to Stand Out from the Crowd:

  • Deep understanding of GPU architecture, CUDA programming, and system-level performance tuning.

  • Background in LLM inference or working with frameworks such as TensorRT-LLM, vLLM, or SGLang.

  • Passion for building scalable, user-friendly APIs and enabling developers in the AI ecosystem.

  • Have a proven track record of growing and managing a team that encourages idea sharing, empowers team members, and provides opportunities for professional growth.

We are widely considered to be one of the technology world's most desirable employers, and we have some of the most forward-thinking and hardworking people in the world working with us. Due to outstanding growth, our best-in-class teams are rapidly growing. If you're a creative self-starter with a real passion for technology, then come join us.

#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 184,000 USD - 287,500 USD for Level 2, and 224,000 USD - 356,500 USD for Level 3.

You will also be eligible for equity and benefits.

Applications for this job will be accepted at least until March 26, 2026.

This posting is for an existing vacancy.

NVIDIA uses AI tools in its recruiting processes.

NVIDIA is committed to fostering a diverse work environment and proud to be an equal opportunity employer. As we highly value diversity in our current and future employees, we do not discriminate (including in our hiring and promotion practices) on the basis of race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status or any other characteristic protected by law.

What Nvidia employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Nvidia logo

About Nvidia

Sourced by ZipRecruiter

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It's a unique legacy of innovation that's fueled by great technology--and amazing people. Today, we're tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what's never been done before takes vision, innovation, and the world's best talent.

Industry

Computer and electronic product manufacturing

Company size

10,000+ Employees

Headquarters location

Santa Clara, CA, US

Year founded

1993

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