Top C++ Jobs in Washington, DC

Interns build software solutions and influence critical industries using AI, working closely with customers to solve complex problems.

The Software Engineer will develop high-performance software for distributed edge and cloud systems, process data streams, optimize software, collaborate with customers, and mentor peers.

Design, deploy, operate, and scale GPU/CPU infrastructure supporting classified national security missions. Responsibilities include managing Top Secret datacenter deployments, GPU-as-a-service platforms, large-scale AI clusters, Kubernetes, operating systems, databases, monitoring, distributed storage, automation, and high-availability services. The role partners with AI engineers, improves service lifecycles, and develops solutions for performance, reliability, and operational scalability.

Design, deploy, operate, and scale GPU/CPU infrastructure for classified data centers and AI clusters. Build automation for on-premise Kubernetes clusters and operating systems, manage databases, monitoring, distributed storage, and GPU-as-a-service platforms, and improve service reliability. Collaborate with AI engineers, lead lifecycle operations, mentor junior engineers, and guide technical excellence across the team.

Design, implement, and optimize cloud and edge software for mission-critical autonomous systems. Process heterogeneous sensor data for real-time state estimation and threat detection, integrate sensors and effectors, build LLM/AI-driven decision systems, and engineer scalable, reliable, fail-safe solutions for tactical and operational missions while collaborating with multidisciplinary teams.

Develop, integrate, and field autonomy software for expeditionary unmanned aircraft (V-BAT/X-BAT). Own features from software-in-the-loop to live flight tests, collaborate with aircraft and perception teams, lead technical integration, support field deployments and mission testing, and troubleshoot hardware/software issues.

Develop, integrate, and field autonomy capabilities for novel platforms (space, maritime, unmanned helicopters). Own end-to-end integration from software- and hardware-in-the-loop to live tests, partner with platform and cross-functional teams, support on-site testing, debug hardware/software issues, document designs, and improve integration and testing processes.

Develop, integrate, and field autonomy software for launched effects platforms, owning features from design through live flight testing. Drive technical execution, collaborate with autonomy, perception, and vendor teams, support system bring-up and field operations, and implement C2 interoperability and deployment processes. Travel to tests and customer exercises to support mission execution and debugging.

Lead technical strategy and engineering for autonomy on new platforms (space, maritime, contested logistics). Define architecture, guide development and integration, mentor senior engineers, support testing and deployments, resolve complex hardware/software integration issues, and transition R&D into operational programs.

Lead technical delivery and integration of autonomy software for V-BAT and X-BAT, defining flight-autonomy interfaces, integrating payloads and mission autonomy, coordinating cross-team engineering, ensuring mission readiness, supporting flight tests and deployments, mentoring engineers, and improving integration workflows and testing infrastructure.

Lead technical delivery and integration of autonomy software for launched effects, including autopilot integration, multi-agent coordination, and fleet-scale deployments. Collaborate with autonomy, perception, vendors, and customers; lead design, testing, debugging, mission support, documentation, and pre-deployment readiness for disconnected or air-gapped operational environments.

Lead technical direction and integration for launched-effects autonomy across platforms. Develop and field mission autonomy, multi-agent coordination, and platform interfaces; drive architecture, standards, testing, deployments, and mentor senior engineers while supporting flight tests and operational customers.

Lead technical delivery and integration of autonomy software for new platforms (air, maritime, space). Own end-to-end development, testing, and fielding of autonomy features, mentor teams, drive architecture and ICDs, support live tests, and transition R&D into operational capabilities.

Lead technical direction and architecture for expeditionary autonomy across V-BAT and X-BAT. Drive development, integration, validation, and fielding of mission autonomy, flight-autonomy interfaces, payloads, and multi-agent capabilities. Mentor senior engineers, influence cross-team engineering standards, support deployments and operational readiness, and define long-term strategy and interoperability for defense customers.

Defines system requirements and architectures, integrates software onto autonomous vehicles and defense systems, and deploys and validates robotics, sensor, perception, communication, and autonomy systems. The role includes field testing, simulation, troubleshooting, system modeling, cross-functional collaboration, and technical documentation in operationally challenging environments.

Develop and maintain PHP, Python, C, and C++ applications supporting real-time data enrichment and sharing. Integrate external capabilities and workflows into internal operations, working across web front ends and back-end processing pipelines. Support OpenStack, private cloud, virtualization, Linux, and Windows environments. Collaborate with developers and research AI engine implementation within the cloud ecosystem.

Leads technical initiatives and designs, builds, operates, and improves scalable distributed systems. Collaborates across organizations, drives maintainability and performance, evaluates emerging technologies, delivers iterative releases, and mentors engineers. Requires polyglot full-stack development, strong SQL and distributed systems expertise, cloud experience, communication skills, and quarterly or as-needed travel. Preferred experience includes event-driven architectures, AI-assisted development, Kafka, APIs, containers, infrastructure as code, monitoring, CI/CD, and agile methodologies.

Designs and integrates robotic autonomy and vehicle intelligence systems across hardware and software. Responsibilities include deploying autonomy solutions on embedded Linux and UAV platforms, integrating autopilots, sensors, datalinks, and ground stations, troubleshooting system issues, conducting SIL/HIL testing, supporting live flight tests, and collaborating with vendors, autonomy engineers, and defense customers. Frequent travel supports on-site integration and demonstrations.

Work directly with customers to design and build end-to-end data-driven solutions. Responsibilities include architecture, large-scale data wrangling, custom web app development, collaborating with technical and non-technical stakeholders, and traveling to client sites to deploy and iterate on high-impact projects.

Work onsite with customers to design and build data-driven solutions end-to-end. Responsibilities include architecture, data wrangling at scale, coding web apps, collaborating with technical and non-technical stakeholders, and traveling to client sites to deploy and iterate solutions.

Lead development of autonomy capabilities for space platforms including distributed optimization, tasking/scheduling, track fusion, RPO and motion planning. Build high-performance, well-tested software, integrate on real vehicles, support deployments and testing, and research/roadmap advanced autonomy techniques for defense applications.

Design, implement, and deploy autonomy capabilities for space platforms including distributed optimization, tasking/scheduling, track fusion, RPO, and motion/behavior planning. Build high-performance, well-tested software modules, collaborate across perception, planning, simulation, hardware, and flight test teams, support deployments and mission log analysis, and contribute R&D and roadmaps to advance autonomy for satellites and missile defense.

Lead development of space autonomy capabilities including distributed optimization, tasking/scheduling, track fusion, rendezvous/RPO, and motion/behavior planning. Build high-performance, testable software, integrate and validate on real platforms, support deployments, and mentor engineers while contributing R&D and roadmaps.

Architect and develop high-performance Linux user-space daemons and middleware services for aerial and ground robots. Build robotics applications in C/C++, Rust, and Python; implement inter-process communication, device lifecycle features, sensor and actuator integration, ROS2 use cases, autonomous behaviors, and video pipelines. Design comprehensive unit and integration testing, CI pipelines, and technical documentation. Collaborate across controls, vision, hardware, firmware, and manufacturing teams while mentoring engineers and supporting products through launch and post-release.

Lead integration of autonomy software onto diverse platforms by designing and implementing interfaces between autonomy, vehicle subsystems, sensors, payloads, and communications. Configure Linux mission environments, middleware, containers, and deployment pipelines; support SIL/HIL/VIL validation, field tests, demonstrations, troubleshooting, and cross-team coordination while mentoring junior engineers.