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Computer Engineer Part Time Jobs in Washington (NOW HIRING)

FPGA Engineer (part-time)

Annapolis, MD · On-site +1

$128.70K - $165.30K/yr

Job Type Part-time Description Welcome to Interclypse, where innovation meets passion. Every team ... Bachelor's Degree in Electrical Engineering or Computer Engineering Why You Will Love Interclypse

Civil Engineer - Part Time

Washington, DC · Hybrid

$73.45K - $132.78K/yr

... part-time Civil Engineer to support the Federal Aviation Administration's (FAA) Mobile Asset ... Experience developing as-builts and CAD drawings. * Experience supporting facilities acquisitions ...

Robotics Engineer

Mclean, VA · On-site

$99K - $225K/yr

Bachelor's degree in Software Engineering, Computer Engineering, Electrical Engineering, or a ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Robotics Engineer

Mclean, VA · Hybrid

$99K - $225K/yr

Bachelor's degree in Sof t war e Engineering, Computer Engineering, Electrical Engineering, or a ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Computer Scientist

Mclean, VA · On-site

$99K - $225K/yr

... programming (OOP) and functional programming to build modular and scalable testing libraries ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Showing results 1-20

Computer Engineer Part Time information

See Washington salary details

$54.9K

$137.6K

$155.7K

How much do computer engineer part time jobs pay per year?

As of May 28, 2026, the average yearly pay for computer engineer part time in Washington is $137,628.00, according to ZipRecruiter salary data. Most workers in this role earn between $126,300.00 and $148,900.00 per year, depending on experience, location, and employer.

What is a Computer Engineer Part Time job?

A Computer Engineer Part Time job involves designing, developing, and maintaining computer hardware or software systems on a reduced-hour schedule. Responsibilities may include coding, troubleshooting, testing, and optimizing performance for various computer applications. Part-time roles are common in industries like IT, telecommunications, and embedded systems, offering flexibility while still contributing to major projects. These positions may suit students, freelancers, or professionals seeking work-life balance.

What are the key skills and qualifications needed to thrive in the Computer Engineer Part Time position, and why are they important?

To thrive as a Computer Engineer Part Time, you need a strong background in computer science or electrical engineering, proficiency in programming languages such as C++, Java, or Python, and an understanding of hardware-software integration. Familiarity with development tools, version control systems like Git, and relevant certifications such as CompTIA or Cisco can be beneficial. Excellent problem-solving, time management, and communication skills are essential to efficiently handle project-based tasks within a limited work schedule. These abilities enable you to deliver high-quality technical solutions while effectively collaborating with team members under part-time constraints.

What are the typical responsibilities and team dynamics for a part-time Computer Engineer?

Part-time Computer Engineers often work on a project basis, handling tasks such as software development, debugging, system optimization, or hardware support according to the organization's needs. They frequently collaborate with full-time engineers, software developers, and IT professionals, participating in meetings and coordinating tasks to ensure seamless progress despite reduced hours. Flexibility and strong communication are important, as part-timers may need to adapt their schedules to align with team timelines and priorities. This role is ideal for individuals seeking to balance technical work with other commitments, while still contributing meaningfully to engineering projects.

Can I work from home as a computer engineer?

Computer engineers can often work from home, especially for roles involving software development, system design, or remote troubleshooting. However, some positions may require on-site presence for hardware testing, lab work, or team collaboration. The ability to work remotely depends on the employer, job responsibilities, and required tools or certifications.
What are the most commonly searched types of Computer Engineer jobs in Washington? The most popular types of Computer Engineer jobs in Washington are:
What job categories do people searching Computer Engineer Part Time jobs in Washington look for? The top searched job categories for Computer Engineer Part Time jobs in Washington are:
What cities in Washington are hiring for Computer Engineer Part Time jobs? Cities in Washington with the most Computer Engineer Part Time job openings:
Infographic showing various Computer Engineer Part Time job openings in Washington as of May 2026, with employment types broken down into 55% Full Time, 43% Part Time, 1% Contract, and 1% Nights. Highlights an 86% Physical, 3% Hybrid, and 11% Remote job distribution, with an average salary of $137,628 per year, or $66.2 per hour.
Computer Vision AI Engineer

Computer Vision AI Engineer

Booz Allen Hamilton, Inc.

Mclean, VA • On-site

$99K - $225K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 5 days ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 47 frontline employees who took The Breakroom Quiz

8th of 57 rated business consultants


Job description

Job Description
Remote Work:
Hybrid
Job Number:
R0238504
Location:
McLean,VA,US
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Additional Locations:
  • Aurora, Colorado, USA
  • Chantilly, Virginia, USA
  • Colorado Springs, Colorado, USA
  • El Segundo, California, USA

Computer Vision AI Engineer
The Opportunity:
Booz Allen Hamilton is seeking an innovative and experienced AI Developer specializing in Computer Vision to join our growing team for Space solutions. In this role, you will leverage your expertise in artificial intelligence, data science, and machine learning engineering to train, test, deploy, and maintain models that learn from data.
The successful candidate will collaborate with cross-functional teams to develop and deploy advanced computer vision models and systems, bringing significant technological advancements that drive mission success.
In this role, you'll contribute to the direction of mission-critical solutions by applying best-fit ML algorithms and technologies. You'll grow within a large community of machine learning engineers across the company and collaborate with a team of dedicated Space industry and AI professionals to deliver world-class solutions to solve missile warning problems in near-real-time.
What You'll Work On:
  • Develop and implement deep learning computer vision models, with a focus on sensor fusion and target tracking.
  • Collaborate with multidisciplinary teams to design, develop, test, and deploy technical solutions in Python, C++, and Rust.
  • Develop and maintain Fire Control Systems, ensuring robustness and accuracy in real-time applications.
  • Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications.
  • Contribute to the architecture and implementation of embedded systems programming using C, C++, or Rust.

Join us. The world can't wait.
You Have:
  • 7+ years of experience in sensor fusion and target tracking
  • Experience in deep learning for computer vision, including the use of transformer-based models such as DINO, CLIP, or SAM
  • Experience in artificial intelligence, data science, machine learning engineering, or software engineering
  • Experience with developing technical solutions using Python, C++, or Rust
  • Secret clearance
  • Bachelor's degree in Science, Technology, Engineering, or Mathematics

Nice If You Have:
  • Experience with embedded systems programming in C, C++, or Rust
  • Experience in GPU programming, including CUDA or RAPIDs
  • Experience with developing in-space solutions
  • Knowledge of modern software design patterns, including micro-service design and orchestration in Kubernetes deployment
  • TS/SCI clearance
  • Master's degree in Computer Science, Artificial Intelligence, or a related field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; Secret clearance is required.
Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $99,000.00 to $225,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914