Top Tech Jobs & Startup Jobs

Develop high-performance C++ and Python software for sensing and communication platforms. Build low-latency data pipelines, networked UDP/TCP systems, APIs, DSP algorithms, testing tools, simulations, and performance benchmarks in a Linux environment. Apply multithreading, IPC, memory management, object-oriented design, and CI/CD practices while collaborating on code reviews and software releases. Work may support electronic warfare or SIGINT applications and requires eligibility for a TS/SCI clearance.

Develop software, algorithms, analytics, and advanced processing techniques for intelligence and mission-awareness requirements. Integrate data, tools, and laboratory capabilities into operator-accessible environments, and create wrapper routines around Astrograph for research and operational use. The role requires experience with signals intelligence collection and processing, prototype development, and transition to operational environments. Candidates must hold an active TS/SCI clearance with polygraph and be U.S. citizens.

Develop software and web applications for CNO tools, programming in languages such as Assembly, C, C++, Java, Perl, and Python. Design end-to-end data flows and tasking, participate in software design, coding, readiness reviews, and government development processes, author technical documentation, and deliver presentations. The role requires substantial programming experience and a TS/SCI clearance with full-scope polygraph.

Develop and maintain DevOps and DevSecOps automation across build, testing, monitoring, deployment, and release processes. Troubleshoot CI/CD pipeline issues, implement cloud-native solutions on AWS and Kubernetes, and manage infrastructure automation using Terraform, Pulumi, and related tools. Collaborate with application development teams throughout the software development lifecycle, improve deployment tooling, and promote DevOps adoption across organizations. The role requires TS/SCI clearance with a polygraph and a bachelor’s degree in computer science or computer engineering.

Develop full-stack software and web applications for national security customers. Responsibilities include translating user and mission requirements into user-friendly systems, using continuous integration, collaborating through design documents and whiteboard sessions, and adapting architectures, languages, and libraries to deliver maintainable solutions.

Develop, optimize, package, validate, and deploy AI/ML applications in secure, mission-critical environments. Collaborate with analysts and platform, infrastructure, and security teams; support MLOps, CI/CD, distributed systems, troubleshooting, performance tuning, accreditation, compliance, audits, and technical documentation. The role uses machine learning frameworks including TensorFlow, PyTorch, Scikit-learn, Keras, computer vision, and GANs.

Develop and modernize frontend applications for a National Space Intelligence Center customer. Translate UI/UX designs into maintainable code, refine component hierarchies, implement scalable frontend architectures, enforce design systems, and collaborate with product owners, stakeholders, and engineers on requirements and engineering tradeoffs. The role uses Angular, Cesium, TypeScript, JavaScript, APIs, WebSockets, and related development and deployment technologies.

Develop full-stack software and web applications based on user and mission requirements. Responsibilities include translating needs into user-friendly systems, using continuous integration to maintain sustainable software, and collaborating with teammates and users through design sessions and documentation. The role may involve Java, Python, JavaScript, Angular, React, Kubernetes, databases, REST services, and related technologies. A TS/SCI clearance is required.

Leads development and deployment of computer vision and AI/ML systems for real-time object tracking, monitoring, and intelligent data triage. Designs scalable architectures, agentic data-collection workflows, and production MLOps pipelines; mentors engineers, oversees data lifecycle and model deployment, and translates client needs into AI/ML roadmaps. Requires advanced Python, computer vision, Docker, Kubernetes, seven-plus years of machine learning experience, U.S. citizenship, and an active Secret clearance or higher.

Develops, maintains, enhances, reviews, and tests complex software systems based on documented requirements. Responsibilities include software design, coding, problem resolution, requirements analysis, technical documentation, readiness reviews, and presentations. The role may involve analytics, algorithm development, large data sets, real-time systems, and business information systems while following government software development procedures.