Top Tech Jobs & Startup Jobs

Leads the Digital Ecosystems portfolio across government agencies and technology marketplaces. Oversees program managers and technical leads, establishes technical vision, manages cost and schedule performance, drives business development and revenue growth, and owns area-level profit and loss. The role also develops engineering talent, allocates resources, removes execution barriers, strengthens customer relationships, and represents the company in customer-facing and business development forums.

Designs and deploys advanced machine learning and deep learning models, leads improvements to AI/ML systems, oversees algorithm development through integration and sustainment, analyzes complex datasets, and communicates technical insights to stakeholders. The role requires extensive experience with algorithms, MLOps pipelines, statistical analysis, experimental design, data storytelling, data governance, and data quality, plus an active Top Secret clearance and eligibility for SCI.

Develop and maintain APEX, a web-based platform for discovering, requesting, visualizing, and interacting with missile defense threat data. Build Angular and TypeScript interfaces, Python services and data-processing capabilities, APIs, database integrations, and interactive visualizations. Collaborate with engineers and analysts, translate mission needs into software, and participate in testing, code reviews, debugging, and configuration management.

Provides technical and programmatic support across Missile Defense Agency science and technology programs. Reviews technical reports, proposals, and contract deliverables; evaluates SBIR proposals; supports acquisition documentation; prepares leadership briefings; coordinates meetings and working groups; and contributes to technology road mapping. The role requires synthesizing unfamiliar technical subjects, communicating findings to decision-makers, and managing concurrent activities across advanced technology portfolios.

Designs, analyzes, integrates, and tests RF, radar, sensor, and electromagnetic systems for defense and research prototypes. Responsibilities include RF architecture, component selection, prototype fabrication, laboratory measurements, troubleshooting, test automation, signal processing, and performance characterization. The engineer uses C++, Python, and RF instrumentation, collaborates across engineering disciplines, supports customer programs and proposals, and independently owns complex RF work packages from requirements through validation.

Build and maintain GPU-capable development environments, containerized workflows, and GitLab CI/CD pipelines for machine learning teams. Develop shell scripts, enforce code quality and merge request standards, standardize ML development practices, and support secure deployments in DoD-restricted environments. Collaborate with researchers, software engineers, and cybersecurity teams to transition prototypes into production. Contribute to SBIR/STTR project execution, technical documentation, onboarding, and proposal development.

Leads software modernization, data migration, UI development, system integration, testing, debugging, and architecture for intelligence mission applications. Collaborates with infrastructure, database, UI, and program teams; communicates technical risks and tradeoffs to government stakeholders; mentors engineers; promotes maintainable, scalable, and reliable software practices. The role requires an active TS/SCI clearance and U.S. citizenship and is contingent on contract award.

Supports configuration management for defense system development and modification projects. Reviews change requests, notices, drawings, design release documentation, and authorizations; maintains configuration databases and records; submits engineering changes; prepares audit documentation; and reports configuration status. The role also develops technical solutions, recommends policy changes, and interfaces with government customers in a DoD environment.

Develop, train, and deploy AI/ML systems, including deep reinforcement learning, explainability, adversarial learning, and interpretability solutions. Architect AI systems, design training datasets, implement research-based models, develop MLOps pipelines, and communicate results to technical and nontechnical audiences. Lead multidisciplinary projects, support proposals and conferences, mentor junior engineers, and collaborate across teams. The role requires strong Python development, deep learning expertise, research literacy, customer interaction, and an active or obtainable Secret clearance.

Lead rapid proof-of-concept research and development projects, build tangible technology products, and support commercialization through government and private-sector proposals. Apply expertise in software, machine learning, electrical, mechanical, or materials engineering while collaborating across teams. Identify relevant research, design experiments, protect intellectual property, and evaluate technologies for product potential. The role requires technical ingenuity, self-directed execution, business development experience, and the ability to obtain an active Secret clearance.