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Kernel Engineer Jobs in Ohio (NOW HIRING)

... Kernel,LangChain,LlamaIndex, and vector databases. * Experienced in creating custom AI agents or ... Prompt Engineering & Optimization: Advanced techniques for prompt tuning, caching, and benchmarking.

... Kernel,LangChain,LlamaIndex, and vector databases. * Experienced in creating custom AI agents or ... Prompt Engineering & Optimization: Advanced techniques for prompt tuning, caching, and benchmarking.

Whether you're engineering advanced materials, transforming manufacturing technologies, or leading ... LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI. * Practical experience with ...

Whether you're engineering advanced materials, transforming manufacturing technologies, or leading ... LangChain, LangGraph, LlamaIndex, Semantic Kernel, AutoGen, or CrewAI. * Practical experience with ...

AI Architect

Cincinnati, OH · On-site

$60.50 - $79.50/hr

Experience with embeddings, vector databases, RAG patterns, LangChain, Semantic Kernel and MLflow* Proficiency with Git, Azure DevOps CI/CD, Docker and Kubernetes* Strong understanding of data ...

Experience with embeddings, vector databases, RAG patterns, LangChain, Semantic Kernel and MLflow * Proficiency with Git, Azure DevOps CI/CD, Docker and Kubernetes * Strong understanding of data ...

Showing results 41-60

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

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

Infographic showing various Kernel Engineer job openings in Ohio as of August 2026, with employment types broken down into 90% Full Time, 2% Part Time, and 8% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution.

Senior AI Full stack Software Engineer

McKesson

Columbus, OH • On-site, Remote

$131K - $218K/yr

Full-time

Re-posted 25 days ago


McKesson rating

7.9

Company rating: 7.9 out of 10

Based on 209 frontline employees who took The Breakroom Quiz

47th of 86 rated pharmaceutical


Job description

McKesson is an impact-driven, Fortune 10 company that touches virtually every aspect of healthcare. We are known for delivering insights, products, and services that make quality care more accessible and affordable. Here, we focus on the health, happiness, and well-being of you and those we serve - we care.

What you do at McKesson matters. We foster a culture where you can grow, make an impact, and are empowered to bring new ideas. Together, we thrive as we shape the future of health for patients, our communities, and our people. If you want to be part of tomorrow's health today, we want to hear from you.

We are seeking a highly skilled and experienced Senior AI Full Stack Software Engineer to join our innovative team at CMM. This role involves designing, developing, and deploying end-to-end AI-powered solutions, from robust backend services to intuitive user interfaces, to enhance our healthcare and decision-making platforms.

Key Responsibilities

  • Lead AI-Driven Healthcare Solutions: Design and deploy AI applications that support decision-making, patient engagement, and operational efficiency.

  • Integrate AI into EHRs and Clinical Systems: Build scalable systems that incorporate LLMs, voice/image recognition, and document parsing into existing healthcare ITinfrastructure.

  • Develop and Optimize Data Pipelines: Ensure secure, HIPAA-compliant data pipelines for training and deploying AI models using structured and unstructured healthcare data (e.g., clinical notes, imaging, lab results).

  • Model Evaluation and Compliance: Apply rigorous evaluation metrics (e.g., sensitivity, specificity, AUC-ROC) and ensure models meet regulatory and ethical standards.

  • Mentor and Lead: Guide junior engineers and contribute to the strategic direction of AI initiatives within the organization.

  • Rapid AI prototyping and iteration with product representatives to vet multiple concepts

We are unable to provide sponsorship for this role presently or in the future.

Priority will be given to candidates who reside in the Columbus, OH and Atlanta, GA metropolitan area.

Minimum Qualifications

  • 10+ years of software engineering experience, with 4+ years in AI/ML development preferred.

  • B.S. degree in Computer Science or related engineering discipline, or equivalent experience

Critical Skills

  • 2+ years of experience building AI solutions in healthcare or lifesciences.

  • Deep understanding of healthcare data standards (e.g., HL7, FHIR) and compliance frameworks (e.g., HIPAA, GDPR).

  • Healthcare AI Expertise: Proven ability to build AI models for clinical NLP, medical imaging, patient risk stratification, and carepersonalization.

  • LLM & RAG Systems: Skilled in building retrieval-augmented generation systems using tools likePydantic, Semantic Kernel,LangChain,LlamaIndex, and vector databases.

  • Experienced in creating custom AI agents or spec-driven tools.

  • Experience writing skills for Claude, Copilot, Codex etc.

  • Prompt Engineering & Optimization: Advanced techniques for prompt tuning, caching, and benchmarking.

  • Full Stack Development: Proficiency in Python, Node.js, and modern web frameworks.

Preferred Skills

  • Cloud & DevOps: Experience with secure cloud environments (AWS/GCP/Azure), containerization (Docker, Kubernetes), and CI/CD pipelines.

  • AI Tooling: Familiarity with OpenAI, Hugging Face,PyDanticAI, TensorFlow,PyTorch, and healthcare-specific AI libraries.

  • Communication & Leadership: Ability to communicate complex AI concepts to clinical and executive stakeholders and lead cross-functional teams.

  • Experience mentoring and developing juniors in development an AI concepts/best practices.

We are proud to offer a competitive compensation package at McKesson as part of our Total Rewards. This is determined by several factors, including performance, experience and skills, equity, regular job market evaluations, and geographical markets. The pay range shown below is aligned with McKesson's pay philosophy, and pay will always be compliant with any applicable regulations. In addition to base pay, other compensation, such as an annual bonus or long-term incentive opportunities may be offered. For more information regarding benefits at McKesson, pleaseclick here.

Our Base Pay Range for this position

$131,000 - $218,300

McKesson has become aware of online recruiting-related scams in which individuals who are not affiliated with or authorized by McKesson are using McKesson's (or affiliated entities, like CoverMyMeds or RxCrossroads) name in fraudulent emails, job postings or social media messages. In light of these scams, please bear the following in mind:
McKesson Talent Advisors will never solicit money or credit card information in connection with a McKesson job application.


McKesson Talent Advisors do not communicate with candidates via online chatrooms or using email accounts such as Gmail or Hotmail. Note that McKesson does rely on a virtual assistant (Gia) for certain recruiting-related communications with candidates.

McKesson job postings are posted on our career site: careers.mckesson.com.

McKesson is an Equal Opportunity Employer

McKesson provides equal employment opportunities to applicants and employees, without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability, age, genetic information, or any other legally protected category. For additional information on McKesson's full Equal Employment Opportunity policies, visit our Equal Employment Opportunity page.

McKesson is committed to being an Equal Employment Opportunity Employer and offers opportunities to all job seekers including job seekers with disabilities. If you need a reasonable accommodation to assist with your job search or application for employment, please contact us by sending an email to (United States) Disability_Accommodation@McKesson.com or (Canada) Accessibility@mckesson.ca. Resumes or CVs submitted to this email box will not be accepted.

Join us at McKesson!


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