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Remote Computer Engineering Student Jobs in Dayton, OH

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Remote Computer Engineering Student information

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$47.1K

$118.1K

$133.6K

How much do remote computer engineering student jobs pay per year?

As of Aug 3, 2026, the average yearly pay for remote computer engineering student in Dayton, OH is $118,108.00, according to ZipRecruiter salary data. Most workers in this role earn between $108,400.00 and $127,800.00 per year, depending on experience, location, and employer.

What are remote computer engineering students?

Remote computer engineering students are individuals who are pursuing a degree or taking courses in computer engineering through online or distance-learning programs. These students complete their coursework, projects, and sometimes even labs entirely online, allowing them to study from anywhere with an internet connection. This flexibility can help students balance their education with work or personal commitments, and opens up access to programs that may not be available locally. Remote learners often use video lectures, virtual labs, and online collaboration tools to interact with instructors and classmates.

How do remote computer engineering students effectively collaborate with team members and instructors during group projects?

Remote computer engineering students typically use collaboration tools such as version control systems (like Git), video conferencing platforms, and shared document editors to work together on group projects. Regular virtual meetings and clear communication channels are essential for staying aligned and addressing challenges quickly. Many programs encourage students to adopt agile methodologies, assigning roles and setting milestones to maintain project momentum. Building strong digital communication skills and proactively reaching out to peers and instructors are key to ensuring successful teamwork in a remote setting.

What is the difference between Remote Computer Engineering Student vs Remote Software Developer?

AspectRemote Computer Engineering StudentRemote Software Developer
Required CredentialsEnrolled in a computer engineering program, some internships or certificationsProven coding skills, relevant certifications, portfolio
Work EnvironmentLearning-focused, often part-time or internship-basedFull-time or freelance projects, collaborative teams
Employer & Industry UsageEducational institutions, tech startups, internshipsTech companies, startups, freelance platforms

Remote Computer Engineering Students are typically in educational programs gaining foundational knowledge, often working on internships or projects. Remote Software Developers are experienced coders working on real-world projects, often full-time. While both roles involve programming, students focus on learning, whereas developers focus on delivering software solutions.

What are the key skills and qualifications needed to thrive as a Remote Computer Engineering Student, and why are they important?

To thrive as a Remote Computer Engineering Student, you need a solid understanding of programming, mathematics, and computer systems, typically supported by enrollment in a computer engineering degree program. Familiarity with collaboration tools (like GitHub, Zoom), coding languages (such as Python, C++), and access to virtual lab environments is essential. Strong self-motivation, time management, and effective online communication are standout soft skills for remote learning. These skills and qualities are crucial for managing coursework independently, collaborating remotely, and successfully completing complex engineering projects.
What are popular job titles related to Remote Computer Engineering Student jobs in Dayton, OH? For Remote Computer Engineering Student jobs in Dayton, OH, the most frequently searched job titles are:
What job categories do people searching Remote Computer Engineering Student jobs in Dayton, OH look for? The top searched job categories for Remote Computer Engineering Student jobs in Dayton, OH are:
What cities near Dayton, OH are hiring for Remote Computer Engineering Student jobs? Cities near Dayton, OH with the most Remote Computer Engineering Student job openings:
Remote Computer Engineering Student jobs near you

Computer Vision Software Engineer, Lead

Booz Allen Hamilton, Inc.

Dayton, OH • On-site, Remote

Full-time, Part-time

Medical, Life, Retirement, PTO

Posted 4 days ago

Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

13th of 72 rated business consultants

Job description


Remote Work:
No
Job Number:
R0245705
Location:
Dayton,OH,US
Share job via:
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Computer Vision Software Engineer, Lead
The Opportunity:
As a Senior Computer Vision Engineer, you will design, develop, and optimize advanced computer vision and multi-sensor fusion algorithms supporting GEOINT-mission workflows. You will lead the development of deep learning models, real-time tracking systems, and GPU-accelerated pipelines deployed in operational environments. You will shape next-generation tools that integrate imaging physics, ML-based behavior inference, and multi-sensor fusion.
You'll join a collaborative technical delivery team where you'll contribute to secure, reliable, and user-centric tools that accelerate mission outcomes.
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 or C++.
  • Utilize GPU programming, including CUDA or RAPIDs, to optimize the performance of computer vision applications.
  • Contribute to the architecture and implementation of novel single and multi-sensor detection and tracking and fusion of targets.

Join us. The world can't wait.
You Have:
  • 6+ years of experience developing computer vision algorithms for detection, tracking, or multi-sensor fusion in remote sensing or GEOINT environments
  • 2+ years of experience applying deep learning to computer vision problems using transformer-based or self-supervised architectures
  • Experience implementing model pipelines in Python or C++, including training, evaluation, and deployment workflows
  • Experience with administration of continuous integration or continuous deployment (CI/CD) pipelines using Kubernetes, Docker, or Jenkins
  • Experience with Agile methodology, extreme programming, software engineering, product management, and software products, and acquiring client requirements and resolving workflow problems through automation optimization
  • Knowledge of GPU-accelerated development using CUDA, RAPIDS, or GPU programming frameworks
  • Knowledge of classical tracking or estimation methods such as Kalman or extended filters, to support real-time algorithm development
  • Ability to design, test, and optimize algorithms for operational performance in constrained computing environments such as multi-GPU servers or cloud
  • Active TS/SCI clearance; willingness to take a polygraph exam
  • Bachelor's degree in a STEM field

Nice If You Have:
  • Experience with GPU-accelerated deep learning, including CUDA kernel development, TensorRT optimization, RAPIDS, or distributed multi-GPU training
  • Experience developing synthetic data, kinematic target models, or scenario simulation tools to support algorithm training or evaluation
  • Experience with advanced estimation, tracking, and fusion techniques such as joint multi-sensor registration, Bayesian fusion, particle filters, or deep multi-object tracking pipelines
  • Experience with MLOps or scalable deployment systems, including Docker, Kubernetes, ONNX Runtime, or Triton Inference Server
  • Experience building or optimizing microservice architectures or distributed systems for real-time data processing
  • Experience integrating CV models into edge, embedded, or latency-constrained operational environments
  • Experience with transformer-based vision architectures beyond DINO, CLIP, or SAM such as ViT variants or self-supervised multi-modal encoders
  • Experience with cloud ML platforms such as AWS GovCloud, Azure ML, or on-premises GPU clusters
  • Knowledge of geospatial data formats, sensor phenomenology, or remote-sensing exploitation workflows
  • Master's degree in CS, Electrical Engineering, Computer Engineering, AI/ML, Physics, or Mathematics preferred; Doctorate degree in CS, Electrical Engineering, Computer Engineering, AI/ML, Physics, or Mathematics a plus

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI 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 $112,800.00 to $257,000.00 (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

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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

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