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Deep Learning Engineer Jobs in California (NOW HIRING)

KLA

Algorithm Engineer - Deep Learning

Milpitas, CA · On-site

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem, seeking a full-time Deep Learning Algorithm Engineer. The role involves pioneering deep learning and ...

KLA

Algorithm Engineer - Deep Learning

Milpitas, CA · On-site

KLA is a global leader in diversified electronics for the semiconductor manufacturing ecosystem, seeking a full-time Deep Learning Algorithm Engineer. This role focuses on pioneering deep learning ...

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All JobsDeep Learning Engineer JobsDeep Learning Engineer Jobs in California

Deep Learning Engineer information

See California salary details

$37.5K

$114.3K

$189K

How much do deep learning engineer jobs pay per year?

As of Jun 12, 2026, the average yearly pay for deep learning engineer in California is $114,347.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $149,500.00 per year, depending on experience, location, and employer.

What is a Deep Learning Engineer job?

A Deep Learning Engineer is a specialized software engineer who designs, develops, and optimizes deep learning models. They work with neural networks, large datasets, and frameworks like TensorFlow or PyTorch to build AI systems for tasks like image recognition, natural language processing, and autonomous systems. Their responsibilities include data preprocessing, model training, performance tuning, and deploying models into production. Strong programming skills in Python, knowledge of machine learning algorithms, and experience with GPU acceleration are essential for this role.

What are the key skills and qualifications needed to thrive in the Deep Learning Engineer position, and why are they important?

To thrive as a Deep Learning Engineer, you need a strong background in mathematics, machine learning theory, and programming (especially Python), often supported by a relevant degree in computer science, engineering, or related fields. Proficiency with frameworks such as TensorFlow, PyTorch, Keras, as well as experience with GPUs and cloud platforms, is highly valued, and certifications in AI or deep learning can further enhance your profile. Effective problem-solving, strong collaboration skills, and clear communication are important soft skills for excelling in interdisciplinary teams. These abilities ensure that you can develop robust deep learning models, adapt to evolving technologies, and contribute value in both technical and collaborative settings.

What are the typical daily tasks and responsibilities of a Deep Learning Engineer?

Deep Learning Engineers typically spend their days designing, developing, and optimizing neural network models for tasks like image recognition, natural language processing, or recommendation systems. They preprocess and analyze large datasets, experiment with model architectures, and tune hyperparameters to achieve the best performance. Collaboration is often required with data scientists, product managers, and software engineers to integrate models into real-world applications and scale solutions for production. Additionally, many deep learning engineers review current research, stay updated on advancements in AI, and continuously improve their skills. This role offers a dynamic work environment where learning and innovation are highly encouraged.

What are the most commonly searched types of Deep Learning Engineer jobs in California? The most popular types of Deep Learning Engineer jobs in California are:
What are popular job titles related to Deep Learning Engineer jobs in California? For Deep Learning Engineer jobs in California, the most frequently searched job titles are:
What job categories do people searching Deep Learning Engineer jobs in California look for? The top searched job categories for Deep Learning Engineer jobs in California are:
What cities in California are hiring for Deep Learning Engineer jobs? Cities in California with the most Deep Learning Engineer job openings:
Deep Learning Engineer jobs near you
Infographic showing various Deep Learning Engineer job openings in California as of June 2026, with employment types broken down into 11% Internship, 68% Full Time, and 21% Contract. Highlights an 95% In-person, and 5% Hybrid job distribution, with an average salary of $114,347 per year, or $55 per hour.
Senior Deep Learning Engineering - Autonomous Vehicles

Senior Deep Learning Engineering - Autonomous Vehicles

NVIDIA

Santa Clara, CA • On-site

$122K - $168K/yr

Full-time

Posted 28 days ago

Job description

Job Summary:
NVIDIA has been transforming computer graphics and accelerated computing for more than 25 years, and they are seeking a Senior Deep Learning Engineer to develop systems and algorithms for autonomous vehicles. This role involves collaborating with researchers and software engineers to integrate AI models from training to production, focusing on large language models and vision-language models.
Responsibilities:
• Explore SOTA LLM/VLM models for search and classification of AV scenarios
• Hands on model developments such as fine-tuning large LLM/VLMs for internal use cases
• Collaborate with software engineers and researchers to ensure seamless integration of models from training to deployment.
Qualifications:
Required:
• Master’s or PhD in Computer Science, Electrical Engineering, Computer Engineering, or a related field (or equivalent experience)
• 10+ years of professional experience in deep learning or applied machine learning.
• Strong foundation in deep learning algorithms, including hands-on experience with LLMs and VLMs
• Deep understanding of general transformer architectures, inference bottlenecks, and popular model architectures such Qwen family.
• Proficient in building and deploying models using PyTorch in production-grade environments.
• Solid programming skills in Python
Preferred:
• Proven experience deploying LLMs or VLMs at scale in real-world applications using vLLM, SGLang.
• Hands-on experience with SFT, DPO, GRPO techniques for fine-tuning
• Proven experience in developing image and video search solutions at scale.
Company:
NVIDIA is a computing platform company operating at the intersection of graphics, HPC, and AI. Founded in 1993, the company is headquartered in Santa Clara, USA, with a team of 10001+ employees. The company is currently Late Stage.
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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