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Entry Level Computer Hardware Jobs in Washington, DC

ActioNet

Junior Service Desk Technician

Washington, DC · On-site

This entry-level role provides first-line technical support to end-users, assisting with hardware ... Computer Science, IT, or related field preferred) • 1-3 years of experience in a technical ...

ActioNet

Junior Service Desk Technician

Washington, DC

$20 - $24/hr

This entry-level role provides first-line technical support to end-users, assisting with hardware ... Computer Science, IT, or related field preferred) • 1-3 years of experience in a technical ...

ActioNet

Junior Service Desk Technician

Washington, DC

$20 - $24/hr

This entry-level role provides first-line technical support to end-users, assisting with hardware ... experience (Computer Science, IT, or related field preferred) 1-3 years of experience in a ...

T-Rex Solutions

CNO Developer 3

Hanover, MD

$200K - $250K/yr

Leads the designing, developing, documenting, testing, debugging and maintenance of hardware or ... Constantly operates a computer and other office productivity machinery, such as a computer.  U.S ...

T-Rex Solutions

CNO Developer 3

Hanover, MD · On-site

$200K - $250K/yr

Leads the designing, developing, documenting, testing, debugging and maintenance of hardware or ... Constantly operates a computer and other office productivity machinery, such as a computer. U.S ...

T-Rex Solutions

CNO Developer 3

Hanover, MD

$200K - $250K/yr

Leads the designing, developing, documenting, testing, debugging and maintenance of hardware or ... Constantly operates a computer and other office productivity machinery, such as a computer. U.S ...

Amentum

Sr. Paralegal

Washington, DC · On-site

$47K - $61K/yr

Must have hands-on familiarity with a variety of computer applications, including word processing, databases (such as document review and file management systems), spreadsheets, imaging, and hardware ...

Pae

Sr. Paralegal

Washington, DC

$47K - $61K/yr

Must have hands-on familiarity with a variety of computer applications, including word processing, databases (such as document review and file management systems), spreadsheets, imaging, and hardware ...

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Entry Level Computer Hardware information

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$49

How much do entry level computer hardware jobs pay per hour?

As of Jul 18, 2026, the average hourly pay for entry level computer hardware in Washington, DC is $24.76, according to ZipRecruiter salary data. Most workers in this role earn between $18.51 and $24.76 per hour, depending on experience, location, and employer.

What are entry level computer hardware jobs?

Entry level computer hardware jobs are positions designed for individuals who are new to the field of computer hardware technology. These roles typically involve tasks such as assembling, testing, repairing, and maintaining computer systems and components under the guidance of more experienced technicians or engineers. Common job titles include computer hardware technician, IT support specialist, and hardware assembler. These roles usually require foundational knowledge of computer hardware and may require certifications or an associate degree.

What is the easiest entry level tech job?

An entry-level computer hardware technician is often considered one of the easiest tech jobs to start, as it typically requires basic knowledge of computer components, troubleshooting skills, and minimal certifications. These roles often involve tasks like assembling, installing, and repairing hardware, with on-the-job training available for beginners.

What tech jobs pay $400,000 a year?

Entry-level computer hardware roles typically do not pay $400,000 annually; such high salaries are usually associated with executive, specialized engineering, or senior management positions. High-paying tech jobs often require extensive experience, advanced skills, and certifications, and may include roles like CTOs, senior hardware engineers, or specialized consultants in high-demand fields.

What are the key skills and qualifications needed to thrive as an Entry Level Computer Hardware Technician, and why are they important?

To succeed as an Entry Level Computer Hardware Technician, you need a basic understanding of computer hardware components, troubleshooting, and repair procedures, often supported by a relevant associate degree or certification like CompTIA A+. Familiarity with diagnostic tools, hardware testing equipment, and operating systems such as Windows and Linux is typically expected. Strong problem-solving abilities, attention to detail, and effective communication skills help you excel in diagnosing issues and collaborating with team members. These skills and qualifications are critical to ensure efficient maintenance and support of hardware systems, minimizing downtime and ensuring user satisfaction.

How to get a CS job with no experience?

Entry level computer hardware positions often require foundational knowledge of computer components, troubleshooting skills, and familiarity with tools like diagnostic software. Gaining certifications such as CompTIA A+ and completing internships or hands-on projects can improve your chances, even without prior work experience.

How do I get into computer hardware?

To start a career in entry-level computer hardware, gain foundational knowledge of computer components and systems through online courses or technical training programs. Obtain certifications such as CompTIA A+ to demonstrate your skills, and seek internships or entry-level positions to gain hands-on experience with assembling, troubleshooting, and maintaining hardware components.

What is the difference between Entry Level Computer Hardware vs Entry Level Network Technician?

AspectEntry Level Computer HardwareEntry Level Network Technician
CertificationsA+ Certification, CompTIA ITF+CompTIA Network+, Cisco CCNA (entry-level)
Work EnvironmentRepair shops, manufacturing, retailCorporate offices, data centers, ISPs
Job FocusHardware assembly, troubleshooting, component replacementNetwork setup, troubleshooting, cabling, routers
Industry UsageIT hardware vendors, retail, manufacturingTelecommunications, IT services, enterprise networks

While both roles involve technical skills and certifications like CompTIA A+ for hardware and Network+ for networking, Entry Level Computer Hardware focuses on physical components and repairs, whereas Entry Level Network Technician specializes in network infrastructure and connectivity. Understanding these differences helps job seekers target the right roles based on their skills and interests.

What are some common challenges faced by entry-level computer hardware professionals, and how can they effectively overcome them?

Entry-level computer hardware professionals often encounter challenges such as troubleshooting unfamiliar hardware issues and adapting to rapidly evolving technologies. It's common to face situations where documentation is limited or problems are not well-defined, requiring strong problem-solving skills and resourcefulness. Collaborating closely with experienced team members and regularly seeking feedback can accelerate learning. Additionally, staying updated through online forums, technical manuals, and internal training sessions helps professionals quickly gain confidence and competence in their roles.
What are the most commonly searched types of Computer Hardware jobs in Washington, DC? The most popular types of Computer Hardware jobs in Washington, DC are:
What are popular job titles related to Entry Level Computer Hardware jobs in Washington, DC? For Entry Level Computer Hardware jobs in Washington, DC, the most frequently searched job titles are:
What job categories do people searching Entry Level Computer Hardware jobs in Washington, DC look for? The top searched job categories for Entry Level Computer Hardware jobs in Washington, DC are:
Entry Level Computer Hardware jobs near you
Infographic showing various Entry Level Computer Hardware job openings in Washington, DC as of July 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $51,502 per year, or $24.8 per hour.
2026 Graduate - Synthetic Aperture Radar ML Engineer - Imaging Systems

2026 Graduate - Synthetic Aperture Radar ML Engineer - Imaging Systems

Johns Hopkins Applied Physics Laboratory

Laurel, MD • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 6 days ago

Johns Hopkins Applied Physics Laboratory rating

9.9

Company rating: 9.9 out of 10

Based on 5 frontline employees who took The Breakroom Quiz

1st of 59 rated research

Job description

Description
Are you passionate about machine learning, edge processing, and synthetic aperture radar imaging?
Do you seek a position to apply your engineering skills in an innovative and collaborative laboratory environment?
If so, we are looking for someone like you to join our team at the Johns Hopkins University Applied Physics Laboratory (APL)!
We are seeking an entry-level engineer or scientist to support the growth of RF/machine learning capabilities. The selected candidate will contribute in two primary areas: optimization of SAR-related processing for GPU-enabled edge hardware, and support of machine learning workflows including curated dataset development, model training, evaluation, and deployment to edge devices. This role is intended for a candidate with strong technical fundamentals and the potential to grow into a broader RF/ML contributor through mentorship and hands-on experience. Deep SAR expertise is not required.
As a member of our team, you will...
  • Support development and optimization of SAR-related algorithms and processing workflows for execution on GPU-enabled edge hardware.
  • Assist with profiling, debugging, and improving computational performance to meet edge-device constraints such as latency, memory, throughput, and power.
  • Build, organize, and maintain curated datasets for machine learning training, validation, and testing.
  • Develop and apply data preprocessing, labeling, and quality-check workflows to prepare data for analysis and model development.
  • Train, evaluate, and help refine machine learning models for deployment in edge or resource-constrained environments.
  • Support integration and deployment of algorithms and trained models onto edge computing platforms.
  • Collaborate with senior staff to transition prototypes into robust, testable implementations.
  • Document technical approaches, results, implementation details, and performance tradeoffs.
  • Work closely with mentors and team members to grow technical depth in RF, SAR, machine learning, and edge deployment applications.
  • Contribute to the team's emerging RF/ML capabilities through applied development, experimentation, and technical learning.

Qualifications
You meet our minimum qualifications if you have...
  • Bachelor's or Master's degree in Electrical Engineering, Computer Engineering, Computer Science, Applied Mathematics, Physics, or relevant field.
  • Foundation in signal processing, linear algebra, and related applied mathematical methods.
  • Programming experience in Python, C++, or similar languages for technical computing, data processing, or algorithm development.
  • Familiarity with basic machine learning workflows, including data preparation, model training, evaluation, and performance assessment.
  • Ability to work with raw and processed data to create organized, curated datasets for analysis and model development.
  • Interest in performance optimization of computational pipelines, including familiarity with GPU or parallel computing concepts.
  • Awareness of edge or embedded computing constraints such as memory, latency, throughput, and power limitations.
  • Strong analytical, problem-solving, and communication skills.
  • Willingness to learn RF, SAR, and edge-deployed ML methods through mentorship and hands-on work.
  • Are able to obtain an Interim Secret Clearance by your start date and can ultimately obtain a TS/SCI. If selected, you will be subject to a government security clearance investigation and must meet the requirements for access to classified information; eligibility requirements include U.S. citizenship.

You'll go above and beyond our minimum requirements if you...
  • Experience with GPU programming, accelerated computing, or performance optimization tools and frameworks.
  • Exposure to deploying software or machine learning models on embedded or edge computing platforms.
  • Familiarity with machine learning frameworks such as PyTorch, TensorFlow, or similar toolkits.
  • Exposure to RF systems, remote sensing, image formation, SAR, or related sensing modalities.
  • Experience with data curation, labeling, preprocessing, or dataset management for machine learning applications.
  • Experience working in Linux-based development environments.

About Us
Why Work at APL?
The Johns Hopkins University Applied Physics Laboratory (APL) brings world-class expertise to our nation's most critical defense, security, space and science challenges. While we are dedicated to solving complex challenges and pioneering new technologies, what makes us truly outstanding is our culture. We offer a vibrant, welcoming atmosphere where you can bring your authentic self to work, continue to grow, and build strong connections with inspiring teammates.
At APL, we celebrate our differences of perspectives and encourage creativity and bold, new ideas. Our employees enjoy generous benefits, including a robust education assistance program, unparalleled retirement contributions, and a healthy work/life balance. APL's campus is located in the Baltimore-Washington metro area. Learn more about our career opportunities at https://www.jhuapl.edu/careers.
All qualified applicants will receive consideration for employment without regard to race, creed, color, religion, sex, gender identity or expression, sexual orientation, national origin, age, physical or mental disability, genetic information, veteran status, occupation, marital or familial status, political opinion, personal appearance, or any other characteristic protected by applicable law. APL is committed to providing reasonable accommodation to individuals of all abilities, including those with disabilities. If you require a reasonable accommodation to participate in any part of the hiring process, please contact Accessibility@jhuapl.edu.
The referenced pay range is based on JHU APL's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level with consideration for internal parity. For salaried employees scheduled to work less than 40 hours per week, annual salary will be prorated based on the number of hours worked. APL may offer bonuses or other forms of compensation per internal policy and/or contractual designation. Additional compensation may be provided in the form of a sign-on bonus, relocation benefits, locality allowance or discretionary payments for exceptional performance. APL provides eligible staff with a comprehensive benefits package including retirement plans, paid time off, medical, dental, vision, life insurance, short-term disability, long-term disability, flexible spending accounts, education assistance, and training and development. Applications are accepted on a rolling basis.
Minimum Rate
$85,000 Annually
Maximum Rate
$165,000 Annually

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