Embedded Software Engineer

Intelliforce-IT Solutions Group • Columbia, MD

34d • $139,000 - $179,000

About The Position

At Intelliforce, we build mission-ready technology that helps national security teams move faster and act with confidence. In this role, you will help develop advanced analytics and high-performance computing capabilities that turn massive data streams into actionable insight. The work sits at the intersection of AI and ML, cloud engineering, and scalable software, supporting missions where speed, accuracy, and reliability are essential.
What Makes This Opportunity Stand Out
This role gives you the chance to work on next-generation capabilities with direct mission value. You will help integrate AI and ML into operational systems, build software optimized for large-scale processing and GPU acceleration, and support streaming analytics pipelines that operate in real time. The work blends backend engineering, cloud infrastructure, performance tuning, and collaboration across engineering and mission teams, so the impact is both technical and immediate.
At Intelliforce, your work is visible and your contributions matter. Because we support prime programs, our teams stay close to meaningful mission work with real momentum. Because we are a small business, leadership is accessible, communication is direct, and strong engineering gets noticed. Add in long-term stability, strong benefits, and a people-first culture, and this becomes more than another engineering role. It is a chance to help shape mission capabilities that operate at speed and scale.

Requirements

• Clearance: Top Secret Clearance with Full Scope Polygraph, must be active. We do not have the ability to sponsor clearances
• Citizenship: Must be a U.S. Citizen. We cannot sponsor visas
• Seven years of Software Engineering experience on programs of similar scope, type, and complexity
• Bachelor’s degree in Computer Science or related discipline from an accredited college or university
• Four additional years of relevant experience may substitute for the degree
• Experience with AI and ML development or system integration
• Terraform experience deploying infrastructure in AWS
• Proficiency in C++, Python, and or Golang
• Experience developing high-performance or GPU-accelerated applications
• Experience working with large-scale streaming data analytics systems
• Strong problem-solving skills and ability to work in complex mission environments

Nice To Haves

• Experience with distributed data platforms or big-data ecosystems
• Knowledge of cloud-native architectures and containerization
• Familiarity with performance tuning, parallel processing, or HPC environments
• Exposure to operational mission systems

Responsibilities

• Build and integrate AI and ML components into operational systems
• Develop high-performance applications optimized for large data processing and GPU acceleration
• Write scalable backend services in C++, Python, or Go
• Design infrastructure using Terraform and deploy into AWS environments
• Support streaming analytics pipelines that process real-time data
• Troubleshoot performance bottlenecks and optimize system throughput
• Collaborate with engineers, data scientists, and mission experts to move prototypes into production

Benefits

• Ample PTO to rest and recharge—plus all federal holidays and your birthday off, just because.
• Multiple medical plan options, including ones with zero deductible or premium for employees.
• Generous 401(k) with immediate vesting—because your future matters now.
• Exciting bonus opportunities, from profit sharing to quarterly awards and President’s Club recognition.
• A culture of collaboration, connection, and fun, with regular team activities that go beyond the work.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 1-10 employees