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Ai Coder Jobs in California (NOW HIRING)

Meta

Creative Coder

Fremont, CA

$154K/yr

Support AI Audio teams throughout every stage of the model lifecycle, from training through ... Leverage code as a design medium to bridge the gap between product goals and engineering ...

Meta

Creative Coder

Burlingame, CA

$154K/yr

Support AI Audio teams throughout every stage of the model lifecycle, from training through ... Leverage code as a design medium to bridge the gap between product goals and engineering ...

Meta

Creative Coder

Los Angeles, CA · On-site

$154K/yr

Support AI Audio teams throughout every stage of the model lifecycle, from training through ... Leverage code as a design medium to bridge the gap between product goals and engineering ...

Meta

Creative Coder

Los Angeles, CA · On-site

$154K - $216K/yr

... Support AI Audio teams throughout every stage of the model lifecycle, from training through ... Leverage code as a design medium to bridge the gap between product goals and engineering ...

Meta

Creative Coder

Fremont, CA

$132K/yr

Creative Coder Responsibilities: * Collaborate with design and engineering teams to deliver ... Experience building AI audio pipelines using tools such as TensorFlow, PyTorch, Langchain and audio ...

Meta

Creative Coder

Los Angeles, CA

$132K/yr

Creative Coder Responsibilities: * Collaborate with design and engineering teams to deliver ... Experience building AI audio pipelines using tools such as TensorFlow, PyTorch, Langchain and audio ...

Meta

Creative Coder

Burlingame, CA

$132K/yr

Creative Coder Responsibilities: * Collaborate with design and engineering teams to deliver ... Experience building AI audio pipelines using tools such as TensorFlow, PyTorch, Langchain and audio ...

RAVE Aerospace LLC

AI Developer

Brea, CA · On-site

Working across the full technology stack, the AI Developer will leverage large language models and AI coding agents as core components of the development process to deliver reliable, high-impact ...

New

RAVE Aerospace LLC

AI Developer

Brea, CA · On-site

Working across the full technology stack, the AI Developer will leverage large language models and AI coding agents as core components of the development process to deliver reliable, high-impact ...

New

Leidos

AI Engineer

San Diego, CA

Integrate AI into engineering workflows for requirements analysis, code generation, testing, vulnerability scanning, and release processes. * Configure AI agents , plugins, and automation frameworks ...

RAVE Aerospace LLC

AI Developer

Brea, CA

Working across the full technology stack, the AI Developer will leverage large language models and AI coding agents as core components of the development process to deliver reliable, high-impact ...

New

Meta

Creative Coder

Los Angeles, CA · On-site

$132K - $181K/yr

The Creative Audio team is seeking a Creative Coder for the Tech & Prototypes department. This role ... AI audio pipelines using tools such as TensorFlow, PyTorch, Langchain and audio processing ...

Planet DDS

AI-First Software Engineer

San Francisco, CA

$200K - $250K/yr

Customization : Use AI code generation to extend solutions when custom functionality is needed. * Collaboration:  Work closely with product managers, and other stakeholders to gather requirements ...

Planet DDS

AI-First Software Engineer

Irvine, CA

Use AI code generation to extend solutions when custom functionality is needed. * Collaboration: Work closely with product managers, and other stakeholders to gather requirements and deliver ...

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Ai Coder information

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$15

$27

$42

How much do ai coder jobs pay per hour?

As of May 29, 2026, the average hourly pay for ai coder in California is $27.13, according to ZipRecruiter salary data. Most workers in this role earn between $18.75 and $34.18 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an AI Coder, and why are they important?

To thrive as an AI Coder, you need strong programming skills (especially in Python), a solid understanding of machine learning concepts, and typically a degree in computer science or a related field. Familiarity with AI frameworks like TensorFlow or PyTorch, as well as experience with version control systems such as Git, is essential. Strong problem-solving abilities, attention to detail, and effective communication help you collaborate with teams and explain complex solutions. These skills and qualities are crucial for developing, optimizing, and maintaining reliable AI models that address real-world challenges.

What types of projects do AI Coders typically work on, and how does project collaboration usually happen?

AI Coders are often involved in developing machine learning models, creating data pipelines, and integrating AI solutions into existing products. Collaboration is a key part of the role, with AI Coders working closely with data scientists, software engineers, and product managers to translate business needs into technical solutions. Most teams use agile methodologies, daily stand-ups, and collaborative platforms like GitHub or Jira to coordinate tasks and track progress. This structure ensures that AI Coders receive frequent feedback and can contribute ideas throughout the development cycle.

What are AI Coders?

AI Coders are professionals who develop, implement, and maintain artificial intelligence (AI) systems and applications. They use programming languages such as Python, Java, and R to write code that enables machines to perform tasks that typically require human intelligence, such as learning, reasoning, and problem-solving. AI Coders often work with machine learning models, neural networks, and large datasets to create intelligent solutions for various industries. Their work can range from building chatbots and recommendation systems to designing complex algorithms for automation.

How much do AI coders make?

AI coders, also known as artificial intelligence programmers, typically earn between $80,000 and $150,000 annually, depending on experience, location, and industry. Senior roles or those with specialized skills in machine learning and deep learning can earn higher salaries, especially in tech hubs or large companies.

What is the difference between Ai Coder vs Data Scientist?

AspectAi CoderData Scientist
Required CredentialsProgramming skills, knowledge of AI frameworks, certifications in AI/MLStatistics, programming, data analysis certifications
Work EnvironmentSoftware development teams, AI research labsData analysis teams, research environments
Employer & Industry UsageTech companies, AI startups, R&D departmentsFinance, healthcare, marketing, tech firms

While both roles involve working with data and algorithms, Ai Coders primarily focus on developing AI models and coding AI solutions, whereas Data Scientists analyze data to extract insights and inform business decisions. Ai Coders are more involved in software development, while Data Scientists emphasize statistical analysis and data interpretation.

What are popular job titles related to Ai Coder jobs in California? For Ai Coder jobs in California, the most frequently searched job titles are:
What job categories do people searching Ai Coder jobs in California look for? The top searched job categories for Ai Coder jobs in California are:
What cities in California are hiring for Ai Coder jobs? Cities in California with the most Ai Coder job openings:
Ai Coder jobs near you
Senior Research Engineer - AI Coding Tools

Senior Research Engineer - AI Coding Tools

Nvidia Corporation

Santa Clara, CA • On-site

$143.90K - $189.70K/yr

Full-time

Posted 29 days ago

Job description

NVIDIA's AI Developer Tools organization is seeking a Senior Research Engineer to join our Research team, where we build the AI coding agents, models, datasets, and evaluations at the heart of NVIDIA's strategy to put AI-powered coding tools in the hands of every CUDA developer. The AI coding space is moving faster than any of us have seen - products rise and fall in months - and we work on it from the epicenter: the company whose hardware most of the AI industry runs on.
Our team is small, in-person, and high-velocity. We prototype and ship novel coding agents, fine-tune and evaluate code LLMs, publish benchmarks like ComputeEval, and contribute datasets that feed NVIDIA's Nemotron foundation models. We make NVIDIA's core developer tools - including Nsight Compute and Nsight Systems - first-class citizens for AI agents through MCP servers and Agent Skills. The space shifts every few weeks, and we move with it. In this role, you'll bring applied AI research depth to a team that values shipping as much as experimentation. You won't be filling a narrow gap - you'll pick up significant projects across our portfolio, help set direction on new ones, and partner closely with product teams turning our research into features used by NVIDIA developers and external customers. For experienced AI-for-code practitioners who want to do frontier applied work with the stability and resources of NVIDIA behind them, this is a rare seat.
What you'll be doing:
  • Build and improve novel coding agents that help NVIDIA developers write, optimize, and maintain CUDA code - and that work alongside other AI agents in the developer's workflow
  • Design and ship evaluations, including extensions of our public ComputeEval benchmark, that measure what really matters in AI-powered CUDA development
  • Fine-tune and specialize code LLMs, and partner with the Nemotron team on the datasets and evaluations that feed NVIDIA's foundation models
  • Develop Agent Skills, MCP servers, and other tool-use interfaces that make NVIDIA's developer tools (Nsight Compute, Nsight Systems, and more) first-class for AI agents
  • Generate, curate, and validate synthetic training and evaluation data for CUDA programming
  • Deliver "net new knowledge" to frontier LLMs through RAG and skill-based systems that keep models current with NVIDIA's fast-moving software stack
  • Collaborate with partner product teams to turn research prototypes into shipping features used inside NVIDIA and by external customers

What we need to see:
  • B.S. in Computer Science or related technical field or equivalent experience (M.S. or Ph.D. a plus)
  • 12+ years of industry experience in applied AI/ML, with meaningful recent work in the AI-for-code space - coding agents, code LLMs, AI developer tools, or adjacent systems
  • Strong proficiency in Python and sound software engineering practices
  • Hands-on experience fine-tuning or evaluating LLMs, with appropriate humility about the complexity of training and data work
  • Fluency with the systems side of LLM-powered agents, including practical concerns like context management, prompt caching, tool-use design, MCP, and Agent Skills
  • Experience designing or contributing to rigorous evaluations for code generation or agentic systems
  • Track record of shipping - taking work past the prototype stage and into the hands of real users
  • Comfortable in a small, collaborative, in-person team with fast direction changes and little process overhead

Ways to stand out from the crowd:
  • Public contributions in the AI-for-code space - open-source agents or tools, widely-used benchmarks, influential papers, or blog posts with demonstrated real-world impact
  • Experience building coding agents or code LLMs that real users rely on every day
  • Familiarity with CUDA or other GPU programming, and/or with NVIDIA profiling tools (Nsight Compute, Nsight Systems) and libraries (cuDNN, cuBLAS, Thrust, CUB)
  • Experience with synthetic data generation and quality validation for code
  • Track record of zero-to-one product work, or work inside a recently-rebooted org with a strong mandate and customer pull

With competitive salaries and benefits, NVIDIA is 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. If you're an applied AI researcher or engineer who wants to ship AI coding tools from the epicenter of the AI industry, and you thrive in a small, in-person team with a clear mandate, this is the role for 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 224,000 USD - 356,500 USD for Level 5, and 272,000 USD - 431,250 USD for Level 6.
You will also be eligible for equity and benefits.
Applications for this job will be accepted at least until May 4, 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.
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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