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Kernel Engineer Jobs in Georgia (NOW HIRING)

Kasmo Global

Azure AI Developer

Alpharetta, GA · On-site

$53.75 - $66.75/hr

Azure AI Developer Type: Contract Location: 100% Remote Client: UST Global Must have Skills: Azure ... kernel, langchain, langgraph). • Experience with NoSQL databases, such as Azure Cosmos DB. • ...

Kaleris

AI Engineer Student Advisor

Alpharetta, GA · On-site

Required : • Currently pursuing a degree with exposure to programming, data, or AI through ... Kernel, Azure Machine Learning SDK, or OpenAI Python SDK • Familiarity with Microsoft Azure ...

Siemens Healthineers

AI LLM Engineer

Atlanta, GA · On-site +1

Semantic Kernel * Microsoft Copilot Studio * Azure AI Foundry * Implement context management ... Apply prompt engineering, fine tuning strategies, and model orchestration techniques to improve ...

Ciena

Senior Software Engineer

Atlanta, GA · On-site

$117K - $155K/yr

Senior Software Engineer, WaveLogic Modem Software Development plays a critical role in delivering ... Development of Linux kernel drivers and user space drivers * Application of embedded systems ...

Ciena

Senior Software Engineer

Atlanta, GA · On-site +1

$117K - $155K/yr

Senior Software Engineer, WaveLogic Modem Software Development plays a critical role in delivering ... Development of Linux kernel drivers and user space drivers * Application of embedded systems ...

Infinity Solutions

Agentic AI Developer

Alpharetta, GA · On-site

Hands-on experience with frameworks like LangChain, LangGraph, AutoGen, and Semantic Kernel. Vector ... DevOps tools (GIT/Stash, Fortify, Jenkins, etc) DESIRED SKILLS: Working knowledge Java, Spring ...

Ciena Corporation

Senior Software Engineer

Alpharetta, GA · On-site

$116K - $153K/yr

Senior Software Engineer, WaveLogic Modem Software Development plays a critical role in delivering ... Development of Linux kernel drivers and user space drivers * Application of embedded systems ...

Kaleris

Associate AI Engineer

Alpharetta, GA · On-site

As an Associate AI Engineer on the IT AI team, you will work alongside our team of talented ... LangChain, Semantic Kernel, LlamaIndex * Data & Backend:PostgreSQL, Prisma ORM, Docker

Kobie Marketing

AI Engineer

Atlanta, GA · Remote

We're looking for a hands-on AI Engineer to ship on that platform: building agent harnesses ... or Semantic Kernel * Experience with LLM observability tools: Amazon CloudWatch, LangSmith ...

Kaleris

AI Engineer Student Advisor

Alpharetta, GA

Solid programming skills in Python preferred, or Java or C++ * Familiarity with AI and Machine ... Experience with or exposure to libraries and frameworks such as LangChain, Semantic Kernel, Azure ...

Kaleris

AI Engineer Student Advisor

Alpharetta, GA · On-site

Solid programming skills in Python preferred, or Java or C++ * Familiarity with AI and Machine ... Experience with or exposure to libraries and frameworks such as LangChain, Semantic Kernel, Azure ...

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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.

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 June 2026, with employment types broken down into 82% Full Time, 9% Part Time, and 9% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution.
Director of Engineering Artificial Intelligence Foundry

Director of Engineering Artificial Intelligence Foundry

Insight Global

Atlanta, GA • On-site

Full-time

Posted yesterday

Job description

Overview

As Director of Engineering, you will lead the design, development, and engineering of enterprise-grade agentic AI solutions and frameworks for Evergreen.AI. This role requires a proven leader who can scale engineering teams, define technical strategy, and ensure operational excellence for production systems-not just PoCs and pilots. You will leverage your experience in technical architecture, global delivery leadership, and AI enablement to build secure, resilient, and compliant solutions for Fortune 500 clients.

In addition, you will serve as a highly client-facing leader, engaging directly with executive stakeholders to understand business needs, communicate technical concepts clearly, and build trusted advisory relationships. You will foster a collaborative, solution-oriented culture, demonstrating strong communication skills and a growth mindset to drive innovation and continuous improvement across teams.


Responsibilities
  • Engineering Leadership: Build and lead high-performing engineering teams across regions; establish career frameworks, mentorship programs, and succession planning.
  • Platform & Framework Ownership: Define Evergreen.AI’s agentic AI architecture, including multi-agent orchestration, LLM knowledge management, and enterprise integration patterns.
  • Delivery Excellence: Drive production readiness-runbooks, observability, SLAs, and resiliency patterns for multi-region deployments.
  • Technical Strategy: Partner with Product and Architecture to align roadmaps with business outcomes; evaluate emerging technologies for scalability and compliance.
  • Operational Governance: Implement secure SDLC, CI/CD, LLMOps/MLOps, and DevSecOps practices; ensure adherence to SOC 2, ISO 27001, HIPAA, and GDPR standards.
  • Own end-to-end ML lifecycle including data ingestion, preprocessing, model training, serving, and evaluation; ensure reproducibility, traceability, and versioning of models and experiments; implement production-grade MLOps practices (CI/CD for ML, automated validation, monitoring, rollback strategies).
  • Client Engagement: Support executive briefings, architecture reviews, and technical pre-sales; act as a trusted advisor for enterprise AI adoption.
  • Innovation & Enablement: Champion responsible AI principles; contribute to reusable accelerators, reference architectures, and delivery templates.
  • Team Collaboration & Communication: Foster a culture of teamwork and open communication, supporting and empowering colleagues across engineering, data science, product, and business functions. Build consensus, resolve conflicts constructively, and celebrate team achievements.
  • Solution Orientation: Approach challenges with creativity and resilience, focusing on outcomes and continuous improvement. Proactively identify obstacles, develop actionable plans, and drive execution to deliver measurable business value for clients and the organization.
  • Growth Mindset: Embrace learning, innovation, and personal development. Stay current with emerging technologies, encourage experimentation, and foster an environment where feedback is welcomed and used for improvement.

Qualifications
  • 12+ years in software engineering, with 5+ years leading multi-team engineering organizations delivering enterprise-grade AI solutions.
  • Proven experience in technical architecture and global delivery leadership for Fortune 1000 clients.
  • Expertise in agentic AI/ML systems, orchestration frameworks (LangChain, Semantic Kernel), and LLMOps/MLOps platforms (MLflow, Kubeflow, Azure ML).
  • Strong knowledge of data and knowledge management for LLMs, including retrieval pipelines and vector databases (Pinecone, Weaviate, Milvus).
  • Hands-on experience with cloud platforms (Azure preferred), container orchestration (Kubernetes), and event-driven architectures (Kafka/Event Hub).
  • Familiarity with observability tools (Prometheus, Grafana, ELK) and resiliency patterns (circuit breakers, chaos engineering).
  • Strong proficiency with Python and ML frameworks
  • Exceptional leadership, cross-collaboration, communication, and stakeholder management skills.
  • Advanced degree in Computer Science.
Qualifications:
  • 12+ years in software engineering, with 5+ years leading multi-team engineering organizations delivering enterprise-grade AI solutions.
  • Proven experience in technical architecture and global delivery leadership for Fortune 1000 clients.
  • Expertise in agentic AI/ML systems, orchestration frameworks (LangChain, Semantic Kernel), and LLMOps/MLOps platforms (MLflow, Kubeflow, Azure ML).
  • Strong knowledge of data and knowledge management for LLMs, including retrieval pipelines and vector databases (Pinecone, Weaviate, Milvus).
  • Hands-on experience with cloud platforms (Azure preferred), container orchestration (Kubernetes), and event-driven architectures (Kafka/Event Hub).
  • Familiarity with observability tools (Prometheus, Grafana, ELK) and resiliency patterns (circuit breakers, chaos engineering).
  • Strong proficiency with Python and ML frameworks
  • Exceptional leadership, cross-collaboration, communication, and stakeholder management skills.
  • Advanced degree in Computer Science.
Education:UNAVAILABLEEmployment Type: FULL_TIME

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