Top Senior C++ Jobs in Washington, DC

Build and maintain enterprise DevOps and developer-experience infrastructure for Hivemind Solutions. Responsibilities include GitLab CI/CD pipelines, runner fleets, automation integrations, cloud-based simulation environments, Artifactory registries, secure container builds, Nix developer environments, and troubleshooting distributed development systems. The role requires strong scripting, Linux administration, cloud, security, and CI/CD expertise, along with eligibility for an active U.S. Secret clearance.

Develops C++ and Python simulation plugins, adapters, and interfaces for defense modeling and simulation environments. Leads migration from HMSSimBlocks to HMSF, maintains legacy compatibility, builds reusable CIGI integrations, supports DDS and network communications, and troubleshoots simulation-autonomy integration issues. The role also includes designing extensible architectures, writing automated tests, documenting software, and supporting integration teams.

Leads a 5–10 person autonomy engineering team developing motion planning, tactical behaviors, multi-agent coordination, track fusion, and decision-making capabilities. Owns hiring, mentoring, technical direction, architecture, delivery, integration, validation, and field deployment across software-in-the-loop, hardware-in-the-loop, and live testing. Collaborates with cross-functional engineering teams and defense customers while remaining technically engaged in C++ development and complex autonomy challenges.

Leads and develops a software engineering team building customer-facing competitive intelligence products. Responsibilities include setting technical direction, translating priorities into execution plans, guiding architecture and quality, managing incidents, recruiting engineers, improving processes, and promoting responsible AI-assisted development. The role requires close collaboration with Product and Engineering leadership and is based in Rosslyn, Virginia, with at least three office days per week.

Lead the design, development, deployment, and operation of complex production software for Yext’s Competitive Intelligence products. Provide technical leadership, mentor engineers, guide architecture and technical planning, lead incident response, collaborate across teams, participate in recruiting, and promote high engineering standards. Build customer-facing experiences involving data, AI, visualizations, user interfaces, and agentic workflows while responsibly using and evaluating AI-assisted development tools.

Designs, integrates, deploys, and troubleshoots autonomy and vehicle-intelligence systems across embedded hardware and software platforms. Responsibilities include integrating sensors, autopilots, datalinks, PNT/GPS/INS, and ground control stations; supporting UAV flight tests; conducting SIL and HIL validation; collaborating with vendors and defense customers; and delivering customer demonstrations. The role requires strong C++ development, robotics integration, networking, embedded Linux, and eligibility for a U.S. security clearance.

Design, build, and operate Cloudflare’s globally distributed cache and reverse-proxy data plane. Responsibilities include improving Pingora-based asynchronous systems, cache performance and correctness, purge and Tiered Cache services, APIs, observability, reliability, and production operations. The role owns features end to end, including design, implementation, testing, staged rollouts, incident response, and cross-team collaboration.

Deploys and operates secure platform infrastructure across AWS GovCloud, Kubernetes, and on-premises environments. Leads customer integrations, cross-domain data flows, troubleshooting, testing, documentation, and technical requirements for SOCOM and government users. Translates operational constraints into product improvements while supporting ATO compliance, incident response, sustainment, and capability transition.

Designs and implements advanced modeling and simulation tools to evaluate system performance and support strategic decision-making for national defense. The role involves quantitative analysis, agent-based and physics-based modeling, AI/ML optimization, reinforcement learning, EO-IR and 3D simulation, and collaboration with government clients. Preferred experience includes high-performance computing, computer vision, parallel programming, autonomous systems, and Linux or Unix environments.

Design, build, test, and operate secure, scalable production software and services. Partner with customers and stakeholders to translate needs into technical solutions, lead technical workstreams, and apply engineering best practices including automated testing, CI/CD, observability, and documentation. Develop reusable components and AI- or LLM-based solutions while driving end-to-end delivery and continuous improvement.

Designs, develops, tests, deploys, and enhances Microsoft Power Platform applications and automated solutions. Translates user stories into secure, maintainable technical implementations using Power Apps, Power Automate, databases, web technologies, APIs, and low-code platforms. Responsibilities include agile collaboration, unit testing, troubleshooting, performance validation, documentation, training, knowledge transfer, and application security.

Develops and maintains real-time 6DOF guidance, navigation, and control simulations for missile and flight vehicle hardware-in-the-loop environments. Responsibilities include C/C++ software development on Linux, hardware control, simulation execution, data processing, performance analysis, regression workflows, visualization, and engineering reporting. The role collaborates with systems, software, and test teams and presents technical findings to engineering groups and customers.

Designs and delivers cloud-based software solutions with strategic customers and Microsoft product teams. Leads requirements definition, architecture, dependency identification, design documentation, and development of maintainable code. Mentors engineers, contributes to open-source assets, coordinates project and release plans, and serves as a designated responsible individual for system reliability, monitoring, on-call support, performance, and operational improvements.

Develops advanced digital signal processing algorithms for electromagnetic warfare and distributed spectrum sensing systems. Responsibilities include detecting, identifying, and tracking RF signals; processing recorded and synthetic I/Q data; integrating software with RF, SDR, and host-processing hardware; testing algorithms; and supporting field demonstrations. The role requires collaboration across engineering, production, and business development teams, on-site work in California or Washington, D.C., periodic travel, U.S. citizenship, and eligibility for a security clearance.

Develop advanced digital signal processing algorithms for RF signal detection, identification, tracking, classification, and geolocation. Integrate and test signal-processing software with RF, software-defined radio, and host-processing hardware. Work with recorded and synthetic I/Q data, support electromagnetic spectrum sensing, contribute to software integration and field demonstrations, and collaborate with business development, production, and engineering teams.

Design and maintain C++ and Python software for complex cross-platform systems. Develop APIs, messaging interfaces, CI/CD workflows, and automated tests while integrating distributed real-time systems, simulation tools, and third-party hardware and software. Debug system-level issues involving threading, timing, and data flow, contribute to architecture, and collaborate across teams. The role requires active Secret clearance and supports potential progression to TS/SCI clearance.

Design, deploy, operate, and scale GPU/CPU infrastructure for Starshield’s national security missions. Manage Kubernetes and AI clusters, bare-metal and virtualized GPU platforms, operating systems, databases, monitoring, and distributed storage. Develop infrastructure automation, improve service reliability and performance, collaborate with AI engineers and customers, and lead technical excellence while mentoring junior engineers.

Design and implement runtime protocols, formats, and systems to capture, serialize, stream, and replay interactive 3D content across engines. Own C++ runtime and C# APIs across editor, build, simulation, streaming, and playback. Optimize for low-latency, determinism, memory and bandwidth constraints, and build AI interfaces for inspecting and invoking engine state.

Own Quvia Grid’s optimization layer for government connectivity programs. Formulate bandwidth allocation, routing, scheduling, and capacity models; implement production solvers and heuristics; select and tune optimization methods; validate solution quality; diagnose deployed-system performance; document model behavior; and translate customer mission constraints into deployable software. The role requires extensive operations research experience, strong software engineering skills, customer engagement, and eligibility for a Secret clearance.

Deploy AI and robotics models on real-world hardware, optimizing inference for constrained edge systems and integrating sensors, controls, middleware, and legacy systems. Diagnose failures across calibration, dynamics, timing, and perception; evaluate model performance rigorously; and collaborate with research teams, customers, and partners to move systems from simulation and prototypes into production.

Lead and grow a software engineering team responsible for CUDA Math Libraries platform expansion and readiness. Own integration, qualification, compliance, validation, performance testing, defect triage, and technical roadmaps across specialized platforms. Collaborate with library, DevOps, QA, compiler, CUDA, release, and platform teams. The role requires hands-on high-performance numerical software development using C++ and Python, parallel computing, performance optimization, and software engineering leadership.

Develops and implements full-stack software solutions from concept through production using agile methods. Designs, modifies, and enhances applications; writes front-end and back-end code; solves complex technical and workflow problems; evaluates architecture and operating environments; collaborates with cross-functional teams; and identifies system improvements. The role requires DHS suitability and participation in a government investigation and skills assessment.

Lead development and technical delivery of maritime autonomy capabilities for USVs, UUVs, and cooperating UAVs. Design motion planning, localization, tracking, safety assurance, COLREGS-compliant behaviors, and heterogeneous multi-agent collaboration. Build high-performance, well-tested software, integrate it onto real platforms, support deployment and demonstrations, analyze mission logs, and contribute to R&D roadmaps. Collaborate across perception, planning, simulation, hardware, and operational test teams while helping customers define requirements and technical approaches.

Lead technical direction for maritime autonomy capabilities across multiple programs. Develop motion planning, localization, tracking, safe maritime behaviors, COLREGS-compliant operations, and heterogeneous multi-agent collaboration for USVs, UUVs, and UAVs. Build and integrate high-performance, rigorously tested software; support deployment, vehicle testing, demonstrations, and mission-log analysis. Mentor engineers, guide architecture and roadmaps, research new algorithms, and collaborate across perception, planning, simulation, hardware, and operational test teams. Travel is typically about 25%.

Develop and deploy autonomy software for unmanned surface, underwater, and aerial vehicles in maritime missions. Responsibilities include motion planning, localization and tracking, safety assurance, COLREGS adherence, multi-agent coordination, distributed optimization, rigorous software testing, platform integration, deployment support, mission-log analysis, and autonomy R&D. The role also involves cross-functional collaboration, customer and demonstration support, roadmap development, and mentoring junior engineers. Travel is typically approximately 25% annually.