Software Engineer, AI and Large-Scale Streaming Systems

At Intelliforce, we don’t just push the boundaries of technology-we partner with some of the most mission-driven teams in defense and beyond to solve challenges that truly matter. As a Systems Engineer here, you won’t just contribute to projects-you’ll help shape outcomes that make a real-world impact. We also know that great work starts with a great environment. That’s why we invest in you:

• 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.

• Clearance: Top Secret Clearance with Polygraph, must be active. We do not have the ability to sponsor clearances
• Citizenship: Must be a U.S. Citizen. We cannot sponsor visas
• Bachelor’s Degree in Computer Science or related field and 14 years of relevant experience
• Or High School Diploma and 18 years of related experience
• In-scope polygraph within the last 7 years, * AI and ML development or integration experience
• Terraform experience with AWS
• Experience with C++, Python, and or Golang
• Experience writing high-performance or GPU-enabled applications
• Experience with large-scale streaming data analytic systems

Desired Skills

• Experience optimizing distributed or cloud-based systems for performance
• Familiarity with AWS-native analytics and infrastructure services
• Experience supporting mission systems in secure environments
• Strong troubleshooting and collaboration skills in fast-moving technical teams

At Intelliforce, we build software that helps mission teams turn massive data streams into real operational advantage. In this role, you will work at the intersection of AI and ML, cloud infrastructure, and high-performance engineering to build systems that can process, analyze, and act on data at scale. This is a strong fit for an engineer who likes hard technical problems, efficient code, and software that has a direct effect on mission outcomes.

What Makes This Opportunity Stand Out

This role gives you the chance to work on some of the most demanding engineering challenges in the mission space. You will help integrate AI and ML capabilities, build GPU-enabled applications, and support large-scale streaming analytics systems running in AWS. The work blends software development, cloud infrastructure, performance optimization, and real-time data processing, so the impact is both immediate and technical.

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 software role. It is a chance to build high-performance systems that help mission teams move faster and smarter.

Here’s What Your Day-to-Day Could Include

• Build and integrate AI and ML capabilities into mission software systems
• Develop and optimize high-performance, GPU-enabled applications
• Design and support large-scale streaming data analytics platforms
• Use Terraform to provision and manage AWS infrastructure
• Develop backend services and performance-sensitive components in C++, Python, or Golang
• Troubleshoot and improve throughput, scalability, and system reliability
• Collaborate with engineers and stakeholders to deliver production-ready solutions in mission environments