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Kernel Engineer Jobs in Georgia (NOW HIRING)

2T Consulting

AI & Microsoft Fabric Engineer

Morrow, GA · On-site

Hands-on experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar AI ... Strong programming skills in Python, SQL, Spark/PySpark, REST APIs, Git, CI/CD, monitoring, logging ...

2T Consulting

AI & Microsoft Fabric Engineer

Conley, GA · On-site

Hands-on experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar AI ... Strong programming skills in Python, SQL, Spark/PySpark, REST APIs, Git, CI/CD, monitoring, logging ...

2T Consulting

Hands-on experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar AI ... Strong programming skills in Python, SQL, Spark/PySpark, REST APIs, Git, CI/CD, monitoring, logging ...

2T Consulting

AI & Microsoft Fabric Engineer

Smyrna, GA · On-site

Hands-on experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar AI ... Strong programming skills in Python, SQL, Spark/PySpark, REST APIs, Git, CI/CD, monitoring, logging ...

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Kernel Engineer information

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

To thrive as a Kernel Engineer, you need deep expertise in C programming, operating system concepts, and low-level hardware interactions, typically supported by a degree in computer science or related fields. Familiarity with version control systems (like Git), debugging tools (such as GDB), and kernel development frameworks is crucial. Problem-solving, attention to detail, and effective communication are standout soft skills in this role. These skills enable the creation of reliable, efficient, and secure kernels that form the backbone of computing systems.

What is the difference between Kernel Engineer vs Device Driver Developer?

AspectKernel EngineerDevice Driver Developer
Required CredentialsBachelor's or higher in Computer Science, Linux/Unix knowledge, programming skills in C/C++Similar credentials, often with specialized knowledge in hardware and driver development
Work EnvironmentSystem-level development, kernel code, Linux/Unix environmentsHardware interaction, driver coding, embedded or OS-specific environments
Industry UsageOperating system development, open-source projects, hardware manufacturersHardware companies, embedded systems, OS vendors
Common Search/ComparisonKernel EngineerDevice Driver Developer

Kernel Engineers focus on developing and maintaining the core kernel of operating systems, ensuring system stability and performance. Device Driver Developers specialize in creating software that allows hardware components to communicate with the OS. While both roles require similar technical skills and often overlap, Kernel Engineers work on the entire kernel infrastructure, whereas Device Driver Developers concentrate on specific hardware interfaces.

What is a kernel engineer?

A Kernel Engineer is a software engineer who specializes in the development, maintenance, and optimization of operating system kernels, such as Linux or Windows. Their primary responsibilities include designing new kernel features, fixing bugs, improving performance, and ensuring compatibility with hardware. They often work closely with hardware manufacturers and other software developers to build stable and secure system foundations. Kernel Engineers must have a deep understanding of operating system internals, low-level programming (typically in C or C++), and computer architecture. This role is critical for maintaining and advancing the core components that allow computers and devices to function efficiently.

Are kernel engineers in demand?

Kernel engineers are in high demand due to the critical role they play in developing and maintaining operating system kernels, especially in areas like embedded systems, cybersecurity, and cloud computing. Companies seek professionals with expertise in C, C++, and Linux kernel development to improve system performance and security, making this a strong job market for qualified candidates.

What are some typical challenges kernel engineers face when working on operating system updates?

Kernel Engineers often encounter challenges related to maintaining system stability and compatibility when implementing updates or new features. Ensuring that changes do not introduce regressions or security vulnerabilities requires thorough testing and collaboration with QA and other engineering teams. Additionally, Kernel Engineers need to keep up-to-date with hardware advancements and support a wide range of devices, which can add complexity to their work. Effective communication and strong problem-solving skills are essential for navigating these challenges and delivering high-quality code.

What are popular job titles related to Kernel Engineer jobs in Georgia?

For Kernel Engineer jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Kernel Engineer jobs in Georgia look for?

The top searched job categories for Kernel Engineer jobs in Georgia are:

Kernel Engineer jobs near you
Infographic showing various Kernel Engineer job openings in Georgia as of August 2026, with employment types broken down into 87% Full Time, 6% Part Time, 1% Temporary, and 6% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

AI & Microsoft Fabric Engineer

2T Consulting

Morrow, GA • On-site

Full-time

Posted 15 days ago

Job description

We are seeking an AI & Microsoft Fabric Engineer to design and develop enterprise AI solutions using Agentic AI, Generative AI, Azure OpenAI, RAG, and Microsoft Fabric. The role focuses on building AI agents, semantic data solutions, and scalable data pipelines to automate workflows and enable intelligent data-driven decisions.

Required Skills
  • Strong experience with Agentic AI, including AI agents, reasoning, planning, memory, tool/function calling, multi-agent orchestration, guardrails, and evaluation.
  • Hands-on experience with LangChain, LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar AI orchestration frameworks.
  • Expertise in LLM/GenAI solutions including Azure OpenAI/OpenAI, RAG, embeddings, vector search, hybrid search, prompt engineering, grounding, and hallucination mitigation.
  • Strong Microsoft Fabric experience with:
    • Lakehouse, Warehouse, OneLake
    • Data Factory, Dataflows, Notebooks
    • Power BI semantic models, Direct Lake, Delta Lake
    • Medallion architecture
  • Experience with ontology and semantic modeling, including entities, relationships, taxonomy, metadata, lineage, semantic layers, knowledge graphs, RDF/OWL/SPARQL, or graph databases.
  • Strong programming skills in Python, SQL, Spark/PySpark, REST APIs, Git, CI/CD, monitoring, logging, and cloud security.
Roles & Responsibilities
  • Design and implement enterprise-grade Agentic AI solutions using LLMs, RAG, APIs, and enterprise data sources.
  • Integrate AI agents with Microsoft Fabric Lakehouse/Warehouse, semantic models, applications, and document repositories.
  • Build and optimize RAG pipelines using embeddings, vector/semantic search, structured data grounding, and evaluation frameworks.
  • Develop ontology-driven semantic models supporting business rules, metadata, governance, and data lineage.
  • Design and build Fabric data solutions using Data Factory, Notebooks, Spark/PySpark, SQL, Delta Lake, and medallion architecture.
  • Implement AI governance practices including guardrails, access controls, monitoring, logging, security, and cost optimization.
  • Create technical designs, architecture diagrams, reusable components, and development standards.
  • Collaborate with business and technical teams to translate business processes into semantic data products and AI workflows.
Preferred Qualifications
  • Experience delivering production-grade GenAI and AI automation solutions.
  • Strong Azure cloud experience and enterprise data platform knowledge.
  • Experience with Agile development and production support.

Apply