Top C++ Jobs in Washington, DC

Work on customer-facing, high-impact projects as an intern FDSE: design and implement data-driven solutions, wrangle large-scale data, build web apps, discuss architecture, and own end-to-end execution while collaborating with technical and non-technical stakeholders. May require travel and US government background checks.

Develop Python-based automated testing, simulation analysis, log-processing, scenario-generation, and domain-randomization tools for the Hivemind Platform. Support test orchestration, distributed simulation, containerized environments, CI/CD, build troubleshooting, and technical documentation. Investigate failures using logs, telemetry, rosbags, network captures, and test results while collaborating with autonomy, systems, and platform engineers.

Develop Python-based tools for simulation-data analysis, log processing, automated testing, scenario generation, and autonomy performance evaluation. Support test orchestration, distributed simulation, containerized environments, CI/CD, infrastructure configuration, debugging, and developer documentation. Collaborate with software, autonomy, systems, and platform engineers while contributing to reliable and repeatable Hivemind Platform testing workflows.

Develop C++ software interfaces connecting autonomy software with sensors, flight controllers, payloads, radios, and vehicle systems. Configure Linux mission computers, implement communication protocols, develop Python testing tools, and debug distributed-system data flow. Support software, hardware, vehicle, laboratory, and field integration testing while collaborating with autonomy, systems, test, and flight teams.

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.

Develop and maintain C++ and Python simulation adapters, plugins, interfaces, and reusable framework components. Support migration from HMSSimBlocks to HMSF, integrate simulation backends, maintain CIGI and DDS interfaces, troubleshoot autonomy integration issues, and create tests and documentation. Collaborate with senior engineers on code reviews, debugging, design discussions, and integration support across simulation and autonomy teams.

Develops and tests hardware-in-the-loop infrastructure for mission autonomy and vision systems on crewed and uncrewed aircraft. Responsibilities include Python test automation, integration and regression testing in HIL, SIL, and VIL environments, sensor and onboard processing integration, software and firmware validation, troubleshooting electrical, mechanical, network, and software interfaces, and supporting ground and flight tests. Requires hands-on hardware/software integration experience, Python, Linux, practical electrical and mechanical skills, and ability to obtain a Secret clearance.

Develop and maintain C++ and Python simulation adapters, plugins, interfaces, and reusable components. Support migration from HMSSimBlocks to HMSF, integrate simulation backends, maintain CIGI and DDS communications, diagnose distributed-system issues, and create tests and documentation. Collaborate with simulation, autonomy, and integration teams on code reviews, debugging, and framework improvements.

Develop and test C++ and Python software, embedded firmware, autonomy features, simulation tools, and testing infrastructure for UAV systems. Work with sensors, perception, planning, mission systems, and real or simulated data. Investigate failures using logs and telemetry, support hardware- and software-in-the-loop integration, collaborate with multidisciplinary engineering teams, document workflows, and participate in code reviews and design discussions.

Develop and validate advanced passive RF geolocation algorithms using TDOA, FDOA, interferometry, detection theory, and estimation methods. Build simulation environments, model real-world signal impairments, translate algorithms into real-time software, and support RF hardware integration, calibration, testing, and field validation. Collaborate with hardware, systems, production, and business development teams while documenting technical assumptions and performance results. The role is on-site in Hawthorne, California, or Washington, D.C., with travel up to 30%.

Develops advanced passive RF geolocation algorithms using TDOA, FDOA, interferometry, detection theory, and estimation methods. Responsibilities span mathematical formulation, simulation, software implementation, real-time acceleration, calibration, hardware requirements, integration, field validation, and technical documentation. The role requires collaboration with hardware, systems, production, and business development teams and periodic travel up to 30%.

Develop and support quantum algorithms and software, collaborate with customers and cross-functional teams, build MVPs for quantum and AI use cases, and apply software engineering practices to scale quantum systems in lab or agile environments.

Design and implement scalable, noise-aware quantum circuit simulators (state-vector, tensor-network, stabilizer) and error‑correction pipelines. Integrate hardware-specific noise models, mid-circuit measurement and decoders, and optimize simulation pipelines for HPC, GPUs, or distributed systems. Collaborate with hardware and algorithm teams, prototype new simulation methods, and support performance estimation and business development.

Deploys, operates, and maintains Palantir software across production environments. Responsibilities include monitoring, alerting, configuration management, upgrades, troubleshooting distributed systems, improving reliability and scalability, automating manual workflows and runbooks, and developing infrastructure solutions using Foundry and Apollo. The intern collaborates across technical teams, owns infrastructure projects, and works with cloud infrastructure, storage systems, and observability tools.

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.

Develop and maintain enterprise geospatial applications, web GIS interfaces, dashboards, workflows, APIs, and integrations in a federal environment. Support ArcGIS Enterprise and Server solutions, geospatial visualization and data management, testing, troubleshooting, deployment, performance tuning, documentation, cybersecurity requirements, user support, and training. Collaborate with infrastructure, security, GIS, data, and program teams to meet DHS IT requirements.

Leads high-fidelity network architecture modeling and analysis using Riverbed Modeler/OPNET. Designs discrete-event simulations, develops and customizes protocol models in C/C++, analyzes OSI Layers 0–3, evaluates LAN/WAN/WLAN performance, troubleshoots network behavior, optimizes architectures, and produces technical reports. Requires extensive network engineering experience, strong protocol expertise, and an active DOD Secret clearance with eligibility for TS/SCI.

Designs, develops, deploys, and supports scalable MuleSoft API-led integrations using CloudHub and Anypoint Platform. Builds REST and SOAP services connecting enterprise applications, Salesforce, databases, and cloud systems. Creates DataWeave transformations, MUnit tests, API security policies, and CI/CD deployments. Troubleshoots integration issues, optimizes performance, monitors applications, and contributes to API design, documentation, code reviews, and architecture discussions within Agile 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.

Software Engineer Interns design, build, test, and debug production-quality software for autonomous systems. Projects may involve applications, embedded flight software, firmware, machine learning, simulation, APIs, data pipelines, or cloud infrastructure. Interns analyze requirements, collaborate with engineers using Agile practices, and deliver real features or capabilities during a 10–12 week paid internship.

Develop future concepts and mission-oriented use cases for Hivemind autonomous systems across air, space, land, and maritime domains. Translate customer needs and technology trends into concept studies, models, analyses, white papers, proposals, and technical briefings. Collaborate with Product, Engineering, Architecture, and go-to-market teams, monitor aerospace and defense developments, and support customer engagements through travel and presentations.

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.