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Training Engineer Jobs in California (NOW HIRING)

Voltai

Research Engineer - Post-Training

Palo Alto, CA · On-site

Post-Training In this role, you will post-train frontier models to autonomously perform complex tasks across the semiconductor design and verification pipeline. Models you train will propose and ...

Voltai

Research Engineer - Post-Training

Palo Alto, CA · On-site

Post-Training In this role, you will post-train frontier models to autonomously perform complex tasks across the semiconductor design and verification pipeline. Models you train will propose and ...

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Showing results 21-40

All JobsTraining Engineer JobsTraining Engineer Jobs in California

Training Engineer information

See California salary details

$30.1K

$67.7K

$114K

How much do training engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for training engineer in California is $67,718.00, according to ZipRecruiter salary data. Most workers in this role earn between $51,300.00 and $73,500.00 per year, depending on experience, location, and employer.

What is a training engineer?

Training Engineers are professionals who design, develop, and deliver technical training programs, typically for employees or customers using specialized equipment, software, or systems. They combine subject matter expertise with teaching skills to ensure participants understand and can effectively use complex products or technologies. Training Engineers often assess learning needs, create instructional materials, and evaluate training effectiveness to continuously improve learning outcomes.

What are the key skills and qualifications needed to thrive as a training engineer?

To thrive as a Training Engineer, you need a strong background in engineering principles, adult learning methodologies, and often a relevant engineering degree. Familiarity with technical training tools, e-learning platforms, and certifications like Certified Technical Trainer (CTT+) are commonly required. Excellent communication, adaptability, and interpersonal skills help Training Engineers effectively convey complex concepts and engage diverse learners. These skills ensure that technical knowledge is transferred effectively, supporting both employee development and organizational goals.

What are some typical challenges faced by training engineers when developing technical training materials for diverse audiences?

Training Engineers often encounter the challenge of creating instructional materials that are accessible and engaging for participants with varying levels of technical expertise. They must balance depth and clarity, ensuring content is neither too simplistic for advanced learners nor too complex for beginners. Additionally, staying current with rapidly evolving technologies and adapting materials for different learning formats—such as in-person workshops, online modules, and hands-on labs—requires strong organizational and communication skills. Collaborating closely with subject matter experts and receiving feedback from trainees are key to overcoming these challenges and ensuring training effectiveness.

What is the difference between Training Engineer vs Training Coordinator?

AspectTraining EngineerTraining Coordinator
Required CredentialsBachelor's degree in engineering, technical field; certifications in training or technical areasBachelor's degree in education, HR, or related field; certifications in training or facilitation
Work EnvironmentTechnical settings, manufacturing plants, engineering firmsCorporate offices, educational institutions, HR departments
Employer & Industry UsageManufacturing, aerospace, engineering companiesCorporate training departments, educational organizations
Common Search & Comparison IntentUnderstanding technical training roles, engineering-focused training jobsLearning and development roles, training program management

Training Engineers focus on developing and delivering technical training in engineering and manufacturing environments, often requiring technical degrees and certifications. Training Coordinators handle organizing and managing training programs across various industries, emphasizing facilitation and administrative skills. While both roles involve training, Training Engineers are more technical and specialized, whereas Training Coordinators focus on logistics and program management.

What are popular job titles related to Training Engineer jobs in California?

For Training Engineer jobs in California, the most frequently searched job titles are:

What job categories do people searching Training Engineer jobs in California look for?

The top searched job categories for Training Engineer jobs in California are:

What cities in California are hiring for Training Engineer jobs?

Cities in California with the most Training Engineer job openings:

What are popular job titles related to Training Engineer jobs in CA?

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Training Engineer jobs near you
Infographic showing various Training Engineer job openings in California as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 13% Part Time, and 1% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $67,718 per year, or $32.6 per hour.

Senior High-Performance LLM Training Engineer

Santa Clara, CA • Hybrid

Nvidia
Computer and Electronic Product Manufacturing • 10K+ employees
Learn more about Nvidiaexternal

Full-time

Re-posted yesterday

Nvidia rating

9.6

Company rating: 9.6 out of 10

Based on 18 frontline employees who took The Breakroom Quiz

Job description

We are now looking for a Senior High-Performance LLM Training Engineer!

NVIDIA is seeking experienced engineers specializing in performance analysis and optimization to improve the efficiency of LLM training workloads, which are shaping the world's most advanced computing systems. This position focuses on optimizing NVIDIA's high-performance LLM software stack in frameworks like PyTorch and JAX for high-performance training on thousands of GPUs, while also helping shape hardware roadmaps for the next generation of GPUs powering the AI revolution.

What you will be doing:

  • Understand, analyze, profile, and optimize AI training workloads on innovative hardware and software platforms.

  • Understand the big picture of training performance on GPUs, prioritizing and then solving problems across all state-of-the-art neural networks.

  • Implement production-quality software in multiple layers of NVIDIA's deep learning platform stack, from drivers to DL frameworks.

  • Build and support NVIDIA submissions to the MLPerf Training benchmark suite.

  • Implement key DL training workloads in NVIDIA's proprietary processor and system simulators to enable future architecture studies.

  • Build tools to automate workload analysis, workload optimization, and other critical workflows.

What we want to see:

  • PhD in Computer Science, Electrical Engineering or Computer Engineering and 5+ years; or MS (or equivalent experience) and 8+ years of meaningful work experience.

  • Strong background in deep learning and neural networks, in particular training.

  • A deep background in computer architecture and familiarity with the fundamentals of GPU architecture.

  • Proven experience analyzing and tuning application performance & processor and system-level performance modelling.

  • Programming skills in C++, Python, and CUDA.

GPU computing is the most productive and pervasive platform for deep learning and AI. It begins with the most advanced GPUs and the systems and software we build on top of them. We integrate and optimize every deep learning framework. We work with the major systems companies and every major cloud service provider to make GPUs available in data centers and in the cloud. We craft computers and software to bring AI to edge devices, such as self-driving cars and autonomous robots. AI has the potential to spur a wave of social progress unmatched since the industrial revolution.

Widely considered to be one of tech's most desirable employers, NVIDIA offers highly competitive salaries and a comprehensive benefits package. Additionally, this opportunity offers you the ability to collaborate with some of the most forward-thinking and hard-working people in the world, shaping the future of AI in a creative and autonomous work environment that encourages innovation. If you're excited to work across the full hardware & software stack-from GPU architecture to application code-to achieve optimal performance, we want to hear from you!

#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 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 April 12, 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

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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

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