Federal AI Solutions Engineer
$85K - $105K/yr
LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks * Develop and test prompt ... Relevant internships, research projects, capstone projects, graduate assistantships, or co-op ...
Federal AI Solutions Engineer
$85K - $105K/yr
LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks * Develop and test prompt ... Relevant internships, research projects, capstone projects, graduate assistantships, or co-op ...
LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks * Develop and test prompt ... Relevant internships, research projects, capstone projects, graduate assistantships, or co-op ...
LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks * Develop and test prompt ... Relevant internships, research projects, capstone projects, graduate assistantships, or co-op ...
Federal AI Solutions Engineer
Mclean, VA · On-site +1
LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks * Develop and test prompt ... Relevant internships, research projects, capstone projects, graduate assistantships, or co-op ...
Federal AI Solutions Engineer
Mclean, VA · On-site +1
LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks * Develop and test prompt ... Relevant internships, research projects, capstone projects, graduate assistantships, or co-op ...
OS kernel & systems development; * 3D pipeline and 2D/3D graphics; * Object oriented design ... Experience may be gained through graduate-level coursework, research, or internship experience.
OS kernel & systems development; * 3D pipeline and 2D/3D graphics; * Object oriented design ... Experience may be gained through graduate-level coursework, research, or internship experience.
Embedded Software Engineer I
$132K - $174K/yr
... internships, co-ops, research, capstone, or personal projects involving embedded or systems ... Experience in building Linux kernels, device drivers, kernel modules, U-Boot, etc. * Experience ...
New
Embedded Software Engineer I
$132K - $174K/yr
... internships, co-ops, research, capstone, or personal projects involving embedded or systems ... Experience in building Linux kernels, device drivers, kernel modules, U-Boot, etc. * Experience ...
New
Internship Kernel Developer information
See Gaithersburg, MD salary details
$12.47 - $15.21
3% of jobs
$15.21 - $17.94
14% of jobs
$19.41 is the 25th percentile. Wages below this are outliers.
$17.94 - $20.68
16% of jobs
The median wage is $22.05 / hr.
$20.68 - $23.42
35% of jobs
$25.17 is the 75th percentile. Wages above this are outliers.
$23.42 - $26.16
11% of jobs
$26.16 - $28.90
9% of jobs
$28.90 - $31.64
4% of jobs
$31.64 - $34.38
0% of jobs
$34.38 - $37.12
4% of jobs
$37.12 - $39.86
0% of jobs
$39.86 - $42.59
3% of jobs
$12
$24
$42
How much do internship kernel developer jobs pay per hour?
As of Aug 27, 2026, the average hourly pay for internship kernel developer in Gaithersburg, MD is $24.74, according to ZipRecruiter salary data. Most workers in this role earn between $20.00 and $26.25 per hour, depending on experience, location, and employer.
What is an internship kernel developer?
Internship Kernel Developers are students or entry-level professionals who work on the core components of an operating system, known as the kernel, during an internship. Their responsibilities often include debugging, writing, and optimizing low-level code that communicates directly with hardware. These internships are typically offered by companies or organizations involved in operating system development, and they provide hands-on experience with system programming, device drivers, and kernel modules. This role is valuable for those looking to build a career in systems software, embedded systems, or operating system development.
What does an internship kernel developer do?
As an Internship Kernel Developer, you will typically assist with tasks such as debugging kernel modules, developing or improving device drivers, and contributing to the implementation of new kernel features. You may also be involved in writing and reviewing code patches, participating in code reviews, and collaborating with senior developers on performance optimization. Interns often work closely with other software engineers and may interact with hardware teams to ensure kernel compatibility and stability. This hands-on experience is invaluable for understanding low-level system operations and can serve as a foundation for advanced roles in systems programming.
What are the key skills and qualifications needed to thrive as an internship kernel developer?
To thrive as an Internship Kernel Developer, you need a solid understanding of operating systems, C programming, and computer architecture, often supported by coursework or projects in systems programming. Familiarity with version control systems like Git, Linux kernel development tools, and debugging utilities is typically required. Strong problem-solving skills, attention to detail, and a willingness to learn from feedback distinguish successful candidates. These skills ensure you can contribute effectively to kernel development tasks, quickly adapt to complex system environments, and collaborate with experienced engineers.
What is the difference between Internship Kernel Developer vs Software Engineer Intern?
| Aspect | Internship Kernel Developer | Software Engineer Intern |
|---|---|---|
| Required Credentials | Basic programming skills, understanding of OS concepts, possibly some coursework in computer science | Similar; often includes programming, data structures, and software development fundamentals |
| Work Environment | Hands-on kernel development, low-level programming, working closely with OS components | Application development, testing, and debugging in various software projects |
| Industry Usage | Primarily in OS, hardware, and systems software companies | Across tech, finance, startups, and software firms |
Internship Kernel Developer roles focus on low-level OS and kernel programming, requiring knowledge of system internals. Software Engineer Intern positions are broader, covering application-level development. Both roles are valuable entry points but differ in technical depth and focus area.
What are popular job titles related to Internship Kernel Developer jobs in Gaithersburg, MD?
For Internship Kernel Developer jobs in Gaithersburg, MD, the most frequently searched job titles are:
What job categories do people searching Internship Kernel Developer jobs in Gaithersburg, MD look for?
The top searched job categories for Internship Kernel Developer jobs in Gaithersburg, MD are:
What cities near Gaithersburg, MD are hiring for Internship Kernel Developer jobs?
Cities near Gaithersburg, MD with the most Internship Kernel Developer job openings:
$85K - $105K/yr
Full-time
Medical, Dental, Vision, Retirement, PTO
Re-posted 22 days ago
Job description
A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development, and deployment of mission-focused AI and cloud solutions across AWS and Azure environments. This role is ideal for recent graduates with a strong academic foundation in Artificial Intelligence, Machine Learning, software engineering, and cloud technologies who are eager to apply their skills to real-world federal mission challenges.
The engineer will work alongside senior architects and engineers to develop AI-enabled applications, cloud-native solutions, automation workflows, and rapid prototypes that support A-TEK's DigitalShift innovation initiatives.
This is a hybrid role based in McLean, VA. No visa sponsorship is available for this role. This role requires the ability to obtain and retain a public trust level security clearance.
Key Responsibilities
AI Solution Development
- Assist in the design, development, and deployment of AI-powered applications and prototypes using:
- AWS Bedrock
- Azure OpenAI
- LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks
- Develop and test prompt engineering strategies, retrieval-augmented generation (RAG) workflows, and AI agent capabilities.
- Support integration of AI solutions with APIs, enterprise systems, and cloud services.
Cloud Engineering
- Build and maintain cloud-based environments in AWS and Azure.
- Assist with infrastructure deployment using Infrastructure-as-Code tools such as Terraform, AWS CDK, or Bicep.
- Support containerized deployments using ECS, EKS, or AKS.
- Participate in CI/CD implementation and cloud automation efforts.
Technical Support & Innovation
- Support senior engineers in troubleshooting cloud, AI, and data integration challenges.
- Assist in developing reusable templates, accelerators, and reference architectures.
- Participate in rapid prototyping efforts that demonstrate mission value for federal customers.
Collaboration & Knowledge Sharing
- Collaborate with Cloud, Cybersecurity, Data Intelligence, and Agile Engineering teams.
- Contribute to technical documentation, architecture diagrams, and knowledge-sharing initiatives.
- Stay current with emerging AI, machine learning, and cloud technologies.
Security & Compliance
- Support implementation of solutions that align with:
- NIST AI Risk Management Framework (AI RMF)
- FedRAMP requirements
- Zero Trust principles
- Secure coding and responsible AI practices
Required Qualifications
Education (Required)
Bachelor's degree in Computer Science with a concentration, specialization, minor, or significant coursework in Artificial Intelligence, Machine Learning, Data Science, or a closely related field.
Experience
- 0-2 years of professional software engineering, AI/ML, or cloud development experience.
- Relevant internships, research projects, capstone projects, graduate assistantships, or co-op experience may be substituted for professional experience.
- Demonstrated programming experience in Python through coursework, projects, internships, or employment.
Technical Skills
- Foundational understanding of machine learning, generative AI, and large language models.
- Experience using cloud platforms (AWS or Azure) through coursework, internships, certifications, or projects.
- Familiarity with:
- REST APIs
- Git version control
- Containerization concepts
- Data pipelines and databases
- Understanding of prompt engineering, RAG concepts, or AI agents through academic or personal projects.
- Strong analytical and problem-solving skills.
Certifications
One of the following is preferred within the first year of employment:
- AWS Certified Cloud Practitioner or AWS Solutions Architect Associate
- Microsoft Azure Fundamentals (AZ-900) or Azure AI Fundamentals (AI-900)
Preferred Qualifications
- Academic or project experience with:
- LangChain
- LlamaIndex
- Semantic Kernel
- CrewAI
- Exposure to vector databases such as Pinecone, Weaviate, FAISS, or Milvus.
- Experience building AI, machine learning, or cloud-based capstone projects.
- Familiarity with DevOps, MLOps, or CI/CD concepts.
- Interest in federal government missions and emerging AI technologies.
Compensation
Salary Range
$85,000 - $105,000 annually
Salary will be determined based on education, certifications, internship experience, technical proficiency, and security clearance eligibility.
Benefits
- Medical, Dental, and Vision Insurance
- 401(k) with Employer Match
- Paid Time Off and Federal Holidays
- Professional Development and Certification Reimbursement
- Career Growth and Mentorship Opportunities