Top Tech Jobs & Startup Jobs

Maintain, update, analyze, and report on project and program schedules supporting the 2030 Census Integrated Master Schedule. Incorporate weekly updates into Primavera P6 and Microsoft Project, maintain WBS structures and dependencies, prepare status reports, support schedule reporting and dashboards, monitor GAO and DCMA compliance, track schedule changes, and assist stakeholders with tools, documentation, training, and troubleshooting.

Leads large U.S. Government capture efforts exceeding $100M, developing winning strategies, managing budgets, resources, timelines, competitive analysis, gate reviews, and cross-functional teams. Builds relationships with government customers and industry partners, reports risks and progress to senior leadership, ensures regulatory compliance, and drives new business wins and recompetes using Shipley and other capture methodologies.

Develop and maintain front-end and full-stack software for NASA high-performance computing and aerospace research systems. Responsibilities include designing user interfaces, building CI/CD pipelines, leading code reviews, troubleshooting, supporting QA, mentoring developers, advising on new capabilities, contributing to laboratory and flight-test data collection, and developing AI/ML-enabled aerospace research systems.

Designs, implements, and optimizes large-scale Elastic Stack infrastructure across cloud and on-premises environments. Builds ingestion pipelines, data models, search queries, analytics, and Kibana dashboards; manages cluster performance, security, upgrades, backups, and disaster recovery. Provides architecture guidance, troubleshooting, documentation, and technical support while collaborating with cybersecurity, engineering, development, and IT teams.

Manages records imaging, database search and data entry, retention scheduling, archiving, and disposition. Responds to customer inquiries, supports records organization projects, prepares and ships records, tracks daily activity statistics, and produces monthly reports. The role requires strong organization and attention to detail, proficiency with Microsoft Office, and experience with records management systems such as SharePoint.

Leads complex $50M–$500M U.S. Government capture efforts for Civilian and Health opportunities. Develops winning strategies, manages budgets and timelines, conducts competitive analysis, builds customer and partner relationships, coordinates cross-functional teams, prepares gate and readiness reviews, and reports risks and progress to senior leadership. Requires expertise in Shipley capture methodology, federal acquisition regulations, procurement lifecycles, CRM tools, and strategic planning.

Provides expert federal travel help desk support for NASA personnel throughout the travel lifecycle. Resolves complex authorization, reservation, voucher, reimbursement, and system issues; interprets Federal Travel Regulations and NASA policies; supports ConcurGov and Go.gov; develops training materials, FAQs, job aids, and SOPs; communicates policy updates; and delivers high-volume customer service.

Develops and deploys advanced machine learning, deep learning, computer vision, and AI models for defense and government missions. Responsibilities include data analysis, model architecture and training, predictive forecasting, anomaly detection, model assessment, and integration with simulation tools. Serves as a technical lead on complex initiatives, influences strategy, briefs senior leaders, and mentors technical staff. Requires expertise in transformers, LLM prompting, unsupervised learning, and deep neural networks.

Leads the DXBM Engineering team supporting launch-program aging surveillance, sustainment engineering, and mission assurance activities. Serves as the primary customer liaison with Space Systems Command, manages personnel and resources, assigns engineers to task orders, resolves schedule and staffing challenges, supports proposals and budgets, and provides program briefings. The role also provides backup mission engineering leadership and requires extensive aerospace, launch program management, DoD, and security-clearance experience.

Develops, trains, optimizes, and deploys AI/ML models and automation tools for U.S. Army enterprise initiatives. Responsibilities include preprocessing large datasets, evaluating model performance, deploying solutions in secure on-premises environments, collaborating with stakeholders and technical teams, using Palantir Foundry and Microsoft Copilot, and documenting AI use cases for nontechnical users.