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Trainee Large Language Model Llm Jobs in California

The successful candidate will lead the implementation of a Large Language Model (LLM) that will transform the way this team performs its work. The Director also oversees budgeting, talent development ...

Controller

San Francisco, CA · On-site

$125/hr

Test and review outputs generated by AI and Large Language Model (LLM) technologies. What We're Looking For Required Qualifications * 7+ years of progressive accounting or finance experience.

Hands-on experience with large language model (LLM) inference and/or model training using open-source model frameworks * Strong Python programming skills * Experience working with cloud platforms ...

Showing results 21-40

Trainee Large Language Model Llm information

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

AspectTrainee Large Language Model LlmData Scientist
Required CredentialsTypically pursuing or recent graduate in computer science, AI, or related fieldsBachelor's or master's in data science, statistics, computer science
Work EnvironmentResearch labs, AI development teams, tech companiesBusiness analytics, research, product development teams
Industry UsageAI research, NLP projects, machine learning developmentData analysis, predictive modeling, decision support

While both roles involve working with data and algorithms, a Trainee Large Language Model Llm focuses on developing and training language models, often in research or AI labs. A Data Scientist applies statistical and analytical skills to interpret data and support business decisions. The roles differ mainly in their focus—AI model training versus data analysis—though they share foundational skills in programming and data handling.

What are the most commonly searched types of Large Language Model Llm jobs in California?

The most popular types of Large Language Model Llm jobs in California are:

What job categories do people searching Trainee Large Language Model Llm jobs in California look for?

The top searched job categories for Trainee Large Language Model Llm jobs in California are:

What cities in California are hiring for Trainee Large Language Model Llm jobs?

Cities in California with the most Trainee Large Language Model Llm job openings:

Infographic showing various Trainee Large Language Model Llm job openings in California as of August 2026, with employment types broken down into 83% Full Time, 12% Part Time, and 5% Contract. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Engineering Manager, LLM Performance

Nvidia Corporation

Santa Clara, CA • On-site

Full-time

Re-posted 9 days ago


Key responsibilities

  • Lead and grow a team responsible for pushing the performance of LLM inference across multiple LLM frameworks.

  • Drive the design, implementation, and optimization of features that are key to performance in LLM inference.

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


Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

6th of 247 rated software companies


Job description

At NVIDIA, we aren't just powering the AI revolution-we're accelerating it. We are accelerating LLM inference across the stack and across all open source LLM frameworks like TensorRT LLM, vLLM and SGLang. 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 accelerating 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 pushing the performance of LLM inference. 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 pushing the performance of LLM inference across multiple LLM frameworks, including TensorRT LLM, vLLM, SGLang and Dynamo on our datacenter products.
  • Drive the design, implementation and optimization of features that are key to performance in LLM inference.
  • Continuously improve the performance of LLM inference on current and upcoming NVIDIA datacenter architectures and GPUs.
  • Continuously improve the performance of LLM inference of important foundation models.
  • Work with inference benchmark teams to help tune performance for key workloads.
  • 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) and/or inference in general.

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.

#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 224,000 USD - 356,500 USD for Level 3, and 272,000 USD - 431,250 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.
NVIDIA is committed to fostering an inclusive 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