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Software Engineer Trainee Jobs in Virginia (NOW HIRING)

Senior Software Developer

King George, VA · On-site

$51 - $67.25/hr

Overview SCCI is currently seeking a Senior Software Developer to join our team! In this position ... trainee behavior and mission context * Maintains a working prototype pipeline that enables rapid ...

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Software Engineer Trainee information

See Virginia salary details

$63K

$146.3K

$203.7K

How much do software engineer trainee jobs pay per year?

As of May 28, 2026, the average yearly pay for software engineer trainee in Virginia is $146,258.00, according to ZipRecruiter salary data. Most workers in this role earn between $119,000.00 and $171,500.00 per year, depending on experience, location, and employer.

What is a Software Engineer Trainee job?

A Software Engineer Trainee is an entry-level position where individuals gain hands-on experience in software development. They typically work under the guidance of senior engineers, learning programming languages, software development methodologies, and debugging techniques. Their responsibilities may include coding, testing, and assisting in the design of applications. This role helps bridge the gap between academic knowledge and real-world software development practices. It is an opportunity to develop technical skills and gain industry exposure before advancing to a full-time software engineering role.

What are the key skills and qualifications needed to thrive in the Software Engineer Trainee position, and why are they important?

To thrive as a Software Engineer Trainee, you need a solid understanding of programming fundamentals, problem-solving abilities, and a relevant degree or coursework in computer science or related fields. Familiarity with common programming languages (such as Java, Python, or C++), version control systems like Git, and basic software development methodologies is typical. Strong communication, eagerness to learn, and adaptability are vital soft skills for success in this role. These skills are essential for quickly growing your technical capabilities, effectively collaborating with your team, and making meaningful contributions to software projects.

What kind of mentorship or training can I expect as a Software Engineer Trainee?

As a Software Engineer Trainee, you can typically expect to receive structured onboarding, ongoing mentorship from experienced engineers, and participation in regular training sessions. Most teams pair trainees with more senior developers for code reviews, guidance on best practices, and support in understanding project workflows. You may also be encouraged to work on small projects or contribute to larger initiatives to apply your learning in real-world situations. This hands-on, supportive environment is designed to accelerate your growth and help you build the skills needed for a successful software engineering career.
What are the most commonly searched types of Software Engineer jobs in Virginia? The most popular types of Software Engineer jobs in Virginia are:
What are popular job titles related to Software Engineer Trainee jobs in Virginia? For Software Engineer Trainee jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Software Engineer Trainee jobs in Virginia look for? The top searched job categories for Software Engineer Trainee jobs in Virginia are:
Infographic showing various Software Engineer Trainee job openings in Virginia as of May 2026, with employment types broken down into 1% Internship, 86% Full Time, 4% Part Time, and 9% Contract. Highlights an 94% Physical, 4% Hybrid, and 2% Remote job distribution, with an average salary of $146,258 per year, or $70.3 per hour.

$51 - $67.25/hr

Other

Medical, Dental, Vision, Life, Retirement, PTO

Posted 3 days ago


Job description

Overview

SCCI is currently seeking a Senior Software Developer to join our team! In this position you will work in a newly established R&D department focused on delivering next-generation autonomous systems and immersive training solutions for defense and government customers. This role demands deep expertise in applied machine learning, with a direct hand in prototyping and fielding AI-driven capabilities that address real operational requirements. The ideal candidate brings a proven track record of translating complex ML concepts into working systems within the constraints of defense hardware, software, and security environments. If you are motivated by mission-critical impact and the challenge of building at the edge of what is possible, we want to hear from you! This position is located in Dahlgren, VA.

SCCI offers a comprehensive and competitive benefits package including Health, Dental, Vision, Life and Disability benefits, 401k with Company Match, time off consisting of 2 weeks of paid vacation, 48 hours of sick/personal leave, and 11 paid Holidays.

Responsibilities:

  • Proactively identifies emerging DoD capability gaps and operational needs, developing AI/ML prototype concepts in advance of formal government solicitations to position SCCI for OTA responses, SBIR/STTR opportunities, and DoD challenge competitions
  • Drives the R&D technical vision for AI/ML capabilities, with a current focus on computer vision, edge-based inference, and autonomous swarm control while continuously scanning the threat and technology landscape to anticipate the next competitive frontier
  • Translates operational military requirements into prototype AI/ML solutions that are demonstrable, defensible, and transition-ready for program of record or follow-on acquisition
  • Collaborates with Program Manager to document technical project objectives, effort estimates, and milestone schedules for AI/ML R&D efforts and tracking execution against plan
  • Designs, develops, and iterates AI/ML prototype solutions with emphasis on computer vision applications for edge-deployed systems
  • Develops and optimizes models for deployment on resource-constrained edge hardware, balancing inference performance, power envelope, and operational reliability
  • Integrates AI/ML capabilities into simulation and training environments to produce adaptive, hyper-realistic training scenarios that respond dynamically to trainee behavior and mission context
  • Maintains a working prototype pipeline that enables rapid demonstration to government customers, OTA consortia, and DoD evaluators with minimal lead time
  • Identifies and escalates technical risks early, proposes mitigation approaches, and adjusts development priorities to keep prototype efforts on schedule and within resource constraints
  • Mentors and technically guides junior and mid-level developers in applied AI/ML concepts, development practices, and defense problem framing — building internal depth in a skill area where bench strength is currently limited
  • Establishes repeatable development patterns, coding standards, and documentation practices that enable the broader team to contribute meaningfully to AI/ML prototype efforts over time
  • Actively monitors competitor capabilities, government R&D investment trends, and emerging academic and commercial AI/ML advances to ensure SCCI maintains a differentiated and defensible position in the autonomous systems and simulation training marketspace
  • Contributes technical concepts for white papers, capability briefs, technical volumes, and proposal content that articulate SCCI’s AI/ML vision and prototype achievements to government customers and industry partners

Essential Skills and Experience:

  • Must be a U.S. Citizen and have an active Secret Security Clearance
  • Bachelor of Science (BS) degree in Computer Science, Electrical Engineering, Applied Mathematics, or a closely related technical field required
  • Five (5) - Seven (7) years of hands-on applied AI/ML development with a portfolio of prototype or fielded systems demonstrating end-to-end ownership from concept through demonstration
  • Demonstrated expertise in computer vision development and deployment, including object detection, tracking, classification, and scene understanding in operationally relevant contexts
  • Proven experience deploying AI/ML models to edge hardware under real-world constraints of limited compute, power, bandwidth, and connectivity with demonstrated optimization techniques (quantization, pruning, distillation, or equivalent)
  • Demonstrated experience developing AI/ML solutions that implement human-machine teaming principles reducing operator cognitive load in high-tempo, data-rich operational environments through intelligent automation, prioritized cueing, and adaptive interface behavior and maintaining human-on-the-loop or human-in-the-loop control consistent with DoD AI ethics and autonomy policy
  • Demonstrated track record of delivering working prototypes on compressed timelines without detailed requirements, translating ambiguous operational problems into functional, demonstrable AI/ML solutions
  • Demonstrated ability to own a technical effort completely from planning, execution, risk management, through delivery with minimal oversight
  • Demonstrated experience defining technical project objectives, estimating work effort and milestone schedules while holding themselves and their team accountable to delivery without external management pressure
  • Demonstrated experience mentoring and technically leveling up junior and mid-level developers in applied AI/ML, producing measurable growth in team capability over time
  • Proven ability to establish development standards, reusable patterns, and documentation practices that extend their own impact across a small team
  • Experience working within DoD, defense contractor, or government R&D environments with familiarity of military operational contexts, acquisition frameworks, and transition pathways
  • Demonstrated experience presenting prototype capabilities and technical concepts to government customers, OTA consortia, program offices, or at defense industry events
  • Proficiency with Atlassian suite, Google Workspace, and Microsoft Office tools for project tracking, documentation, and cross-functional collaboration
  • Demonstrated use of AI-assisted development tools to accelerate R&D workflows and prototype velocity
  • Demonstrated experience identifying, evaluating, and recommending compute and hardware infrastructure for AI/ML development and testing environments, including edge devices, GPUs, and supporting lab equipment

Preferred Skills and Experience:

  • Active Top Secret Security Clearance                  

SCCI is committed to providing a comprehensive and competitive benefits package to meet the needs of Employees and their families. EOE of  Veterans and Disabilities.