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Senior Kernel Developer Jobs in Arizona (NOW HIRING)

Inficare Technologies

Lead AI Engineer

Phoenix, AZ · On-site

$99K - $131K/yr

Mentor senior engineers and raise the technical bar for agentic AI development through example and ... Agent and orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or CrewAI, with ...

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Senior Kernel Developer information

How much does a kernel make?

A senior kernel developer typically earns between $100,000 and $150,000 annually, depending on experience, location, and the company. Skilled developers with expertise in C, Linux, and system architecture are in high demand and may receive higher compensation packages.

How much does a kernel developer make?

A senior kernel developer typically earns between $100,000 and $150,000 annually, depending on experience, location, and the company. Skilled developers with expertise in C, Linux, and system architecture may earn higher salaries, especially in competitive tech markets.

How much do kernel developers make in the US?

Kernel developers in the US typically earn between $100,000 and $150,000 annually, with experienced professionals and those working for large tech companies earning higher salaries. Compensation can vary based on experience, location, and expertise in low-level programming and operating system architecture.

What is the difference between Senior Kernel Developer vs Kernel Engineer?

AspectSenior Kernel DeveloperKernel Engineer
CredentialsBachelor's or higher in Computer Science, experience in kernel developmentSimilar credentials, often with specialized Linux or OS certifications
Work EnvironmentResearch and development, debugging, code optimizationDesign, implementation, testing of kernel modules and components
Industry UsageTech companies, hardware manufacturers, OS developersEmbedded systems, OS vendors, hardware integration

Both roles require strong knowledge of operating systems and kernel architecture. A Senior Kernel Developer typically focuses on advanced development and optimization, while a Kernel Engineer emphasizes designing and implementing kernel components. The roles often overlap but differ mainly in scope and focus within kernel development projects.

Are Linux kernel developers in demand?

Linux kernel developers are in high demand due to the widespread use of Linux in servers, cloud infrastructure, and embedded systems. Skilled developers with expertise in C, kernel architecture, and debugging tools are sought after by technology companies, open-source projects, and hardware manufacturers, often offering competitive salaries and opportunities for remote work.
What are the most commonly searched types of Kernel Developer jobs in Arizona? The most popular types of Kernel Developer jobs in Arizona are:
What are popular job titles related to Senior Kernel Developer jobs in Arizona? For Senior Kernel Developer jobs in Arizona, the most frequently searched job titles are:
What job categories do people searching Senior Kernel Developer jobs in Arizona look for? The top searched job categories for Senior Kernel Developer jobs in Arizona are:
What cities in Arizona are hiring for Senior Kernel Developer jobs? Cities in Arizona with the most Senior Kernel Developer job openings:
Senior Kernel Developer jobs near you
Infographic showing various Senior Kernel Developer job openings in Arizona as of July 2026, with employment types broken down into 86% Full Time, 4% Part Time, 1% Temporary, and 9% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution.

Python-AI_ML-GenAI- Senior Engineer

Objectways Technologies Llc

Phoenix, AZ • On-site

Full-time

Re-posted 23 days ago

Job description

Role Description
This is a contract, on-site role for a Python AI/ML Senior Engineer, based in Phoenix, AZ. The responsibilities include designing, developing, and deploying robust AI/ML models and solutions to solve customer-specific challenges. The engineer will focus on implementing algorithms related to neural networks, pattern recognition, and statistical modeling, as well as fine-tuning these models for accuracy and scalability. Additional responsibilities include collaborating with cross-functional teams, maintaining high-quality code practices, and staying up-to-date with advanced AI/ML frameworks and tools.
Qualifications
  • Proficiency with distributed/multi-tier systems and application development, including excellent programming skills in languages such as Python.
  • Hands-on experience designing and deploying Generative AI Applications using LLM frameworks (e.g. LangChain, LlamaIndex, Semantic Kernel), embeddings, and vector databases.
  • Experience building Agentic AI systems with autonomous planning, tool/function calling, memory management, RAG, and multi-agent orchestration.
  • Solid understanding of ML/DL fundamentals, prompt engineering, model evaluation, and responsible AI practices.
  • Experience integrating AI solutions with enterprise systems, APIs, event streaming (e.g., Kafka), and relational/NoSQL databases.
  • Familiarity with cloud platforms (AWS/Azure/GCP), containers (Docker), and CI/CD pipelines (Git, Jenkins, Maven).
  • Strong foundation in data structures, system design, APIs (REST/HTTP), and Unix/Linux environments.
  • Excellent communication skills with the ability to translate complex AI concepts into scalable business solutions.
  • Good understanding of data structures, algorithms and design patterns
  • Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.