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Plugin Developer Jobs in California (NOW HIRING)

TL -.Net Developer

Irvine, CA · On-site

$51.75 - $68.50/hr

Net Developer Location: Los Angeles/Irvine, CA Duration: Full Time / Permanent Basic Bachelor ... test plugin tools. Ability to work in team environment and client interfacing skills.

Game Engine Developer

Santa Clara, CA · On-site

$120K - $130K/yr

Deep experience with Unreal Engine internals and plugin/module development. * Solid understanding ... Graphics programming experience (shaders, OpenGL, Vulkan). * Experience with additional game ...

Deep experience with Unreal Engine internals and plugin/module development. * Solid understanding ... Graphics programming experience (shaders, OpenGL, Vulkan). * Experience with additional game ...

... plugin across platforms. * Get HeyGen front and center at hackathons, AI builder meetups, developer conferences, and other events where the target audience gathers. Sponsor, speak, judge, and build ...

Associate Website Developer

Irvine, CA · On-site

$55K - $65K/yr

Are you a skilled developer with a passion for creating high-performing WordPress websites? Do you ... ● Theme & Plugin Development: Expertise in creating custom themes and plugins, along with ...

The Web Developer is responsible for the design, development, and ongoing optimization of the ... theme and plugin development. Implement web projects in accordance with approved technical ...

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Showing results 1-20

Plugin Developer information

See California salary details

$39.5K

$127.7K

$156.4K

How much do plugin developer jobs pay per year?

As of May 31, 2026, the average yearly pay for plugin developer in California is $127,654.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,600.00 and $154,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Plugin Developer, and why are they important?

To thrive as a Plugin Developer, you need strong programming skills (commonly in languages like JavaScript, PHP, or Python), experience with relevant frameworks, and a solid understanding of the host platform’s architecture. Familiarity with version control systems (e.g., Git), API integrations, and knowledge of software development best practices or certifications such as AWS Certified Developer can be advantageous. Creativity, problem-solving abilities, and effective communication help distinguish top-performing plugin developers. These skills ensure plugins are efficient, secure, user-friendly, and compatible, directly impacting user experience and platform functionality.

What are the common challenges faced by plugin developers when ensuring compatibility with different software versions?

Plugin developers often encounter challenges in maintaining compatibility across multiple software versions due to frequent updates and changes in the host application's API or architecture. It requires staying up-to-date with release notes, testing plugins against new versions, and sometimes refactoring code to address deprecated functions or new requirements. Active communication with the user community and host application developers can help identify issues early and ensure a smoother user experience. Being proactive with version control and documentation is also crucial for managing compatibility challenges effectively.

What are plugin developers?

Plugin developers are software professionals who design, create, and maintain plugins—small software components that add specific features or functionalities to existing applications or platforms. They work with various systems such as web browsers, content management systems (like WordPress), or software frameworks to extend their capabilities. Plugin developers need strong programming skills, knowledge of the target platform’s architecture, and an understanding of how to ensure compatibility and security. Their work enables users to customize and enhance software without altering the core codebase.
Infographic showing various Plugin Developer job openings in California as of May 2026, with employment types broken down into 75% Full Time, 5% Part Time, and 20% Contract. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $127,654 per year, or $61.4 per hour.
Senior Software Engineer - GenAI Infrastructure & Agent Systems for Engineering Efficiency

Senior Software Engineer - GenAI Infrastructure & Agent Systems for Engineering Efficiency

Nuro

Mountain View, CA • On-site

$160.36K - $240.54K/yr

Full-time

Posted 24 days ago


Job description

Who We Are
Nuro is a self-driving technology company on a mission to make autonomy accessible to all. Founded in 2016, Nuro is building the world's most scalable driver, combining cutting-edge AI with automotive-grade hardware. Nuro licenses its core technology, the Nuro Driver™, to support a wide range of applications, from robotaxis and commercial fleets to personally owned vehicles. With technology proven over years of self-driving deployments, Nuro gives the automakers and mobility platforms a clear path to AVs at commercial scale, empowering a safer, richer, and more connected future.
About the Team
We empower engineers to build the future of transportation by transforming how software is developed, tested, and operated using Generative AI and agentic systems.
Our team builds the AI infrastructure that enables autonomous coding agents, intelligent assistants, and autoresearch systems across the engineering lifecycle - from code generation and CI/CD to debugging, knowledge discovery, and ML model improvement.
We sit at the intersection of engineering productivity and ML advancement, building platforms and self-improving systems that accelerate both.
About the Role
As a Software Engineer in GenAI Infrastructure & Agent Systems, you will design and build platforms that significantly improve developer productivity and ML research velocity.
This role spans:
  • Agent infrastructure (harnesses, sandboxes, plugin frameworks, MCP integrations) enabling reliable, production-grade AI agents
  • Autoresearch systems that run experiments, evaluate results, and propose improvements to core ML models

You'll work across the stack - from cloud infrastructure and isolation to agent memory, evaluation frameworks, and developer-facing tools.
About the Work
Build AI agent infrastructure
  • Design agent orchestration, sandboxing, and isolation systems
  • Develop skill/plugin frameworks and integrate internal tools (e.g., CI/CD, code, observability systems)
  • Scale compute infrastructure for agent workloads (GCP, Kubernetes)

Develop autoresearch systems
  • Build self-improving agents that run experiments, analyze results, and iterate
  • Implement memory, feedback loops, and long-horizon reasoning
  • Integrate with ML training, evaluation, and data pipelines

Create AI-powered engineering tools
  • Build assistants for support, triage, and workflow automation
  • Develop tools for code generation, debugging, testing, and PR review
  • Detect and resolve performance and reliability issues automatically

Improve quality and developer workflows
  • Design evaluation and observability systems for agent performance
  • Integrate agents into CI/CD for testing, failure attribution, and remediation
  • Build knowledge systems for search, retrieval, and reuse
About You
  • 5+ years of experience and a Bachelor's or 4+ years of experience and a Master's Degree in Computer Science, software engineering, a related field, or equivalent practical experience.
  • Strong programming skills in Python, C++, or Go, with experience building scalable, reliable systems
  • Solid background in cloud infrastructure (GCP/AWS), Kubernetes, CI/CD, and developer tooling
  • Passion for building production-grade AI agent systems and improving engineering efficiency through automation
  • Interest in autonomous, self-improving systems and ML-driven workflows
  • Strong systems thinking across infrastructure, memory, and tooling, with ability to work end-to-end

Preferred:
  • Experience with LLM/agent systems in production (tool use, orchestration, sandboxing)
  • Familiarity with autonomous agent patterns (memory, reflection, planning)
  • Experience with MCP, plugin/skill frameworks, or similar architectures
  • Background in ML infrastructure (training pipelines, evaluation, experimentation)
  • Experience in DevEx/platform engineering, observability, or security isolation patterns

At Nuro, your base pay is one part of your total compensation package. For this position, the reasonably expected base pay range is between $160,360 and $240,540 for the level at which this job has been scoped. Your base pay will depend on several factors, including your experience, qualifications, education, location, and skills. In the event that you are considered for a different level, a higher or lower pay range would apply. This position is also eligible for an annual performance bonus, equity, and a competitive benefits package.
At Nuro, we celebrate differences and are committed to a diverse workplace that fosters inclusion and psychological safety for all employees. Nuro is proud to be an equal opportunity employer and expressly prohibits any form of workplace discrimination based on race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, genetic information, disability, veteran status, or any other legally protected characteristics. #LI-DNP