Top C++ Jobs in Washington, DC

Serve as the technical lead modernizing mission-critical defense software: deploy and extend agentic modernization platforms, analyze large codebases, design scalable architectures, ensure RMF/NIST-compliant deployments, and deliver production-ready solutions in classified environments.

Work alongside FDIEs to deploy, operate, and automate Palantir infrastructure in production. Debug distributed systems, build automation, and implement solutions using Foundry and Apollo with significant ownership.

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.

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.

Work directly with defense customers to design, build, and deploy data-driven solutions. Tasks include architecture, large-scale data wrangling, coding custom web apps, collaborating with technical and non-technical teams, and owning end-to-end, client-facing projects. Internship involves on-site client work and potential travel.

Technical Services Engineers at MongoDB solve complex database problems for customers, requiring deep technical skills and customer service expertise. They work on architecture, performance, and support tools, engage with clients on technical queries, and contribute to projects within the MongoDB ecosystem. The role demands a mix of systems and storage engineering experience, coding skills, and a collaborative spirit.

Lead the validation strategy for autonomous vehicle software, mentor team members, analyze autonomous behaviors, and develop testing strategies in this senior engineering role.

Work on end-to-end customer projects as a Forward Deployed Software Engineer intern: design and implement data-driven solutions, build web apps, wrangle large-scale data, collaborate with cross-functional teams, and travel to client sites. Interns own real-world deliverables and operate with autonomy and mentorship in fast-moving environments.

Lead design and implementation of tactical autonomy behaviors for unmanned platforms. Develop, test, and deploy multi-agent coordination, motion/behavior planning, and survivability features across vehicles while owning end-to-end system lifecycle and collaborating with integration teams and end users.

Lead architecture and implementation of high-performance C++ and Python systems, integrate distributed systems and hardware/software, manage CI/CD pipelines, debug and optimize real-time multi-threaded systems, guide end-to-end integration and verification, mentor engineers, and evaluate new technologies to improve system performance.

Develop, integrate, and field autonomy software for unmanned platforms; lead a small technical team through design-to-deployment; author ICDs; perform hardware/software debugging, system bring-up, simulation testing, and mission support; mentor engineers and coordinate with internal teams and external integrators. Travel ~10-20%.

Design, implement, and maintain C++ and Python software for cross-platform, distributed real-time systems. Contribute to system architecture, APIs/messaging (gRPC/REST/ZeroMQ), CI/CD, automated testing, and integration of third-party simulation and hardware. Debug threading/timing issues and improve development workflows.

Lead systems engineering for Hivemind-based autonomy products: define and manage requirements, develop system architectures and trade studies, coordinate hardware/software interfaces, support integration/verification/validation and testing, and identify and mitigate technical risks across the system lifecycle.

Develop and test autonomy behaviors for unmanned systems using production C++. Implement features for behavior, coordination, motion planning, and survivability. Participate in full software lifecycle, integrate with sensors/actuators, support simulation and real-world testing, collaborate cross-functionally, and travel up to 20% to support integration and testing. Must be eligible for a U.S. Secret clearance.

Design, implement, and own tactical autonomy behaviors for unmanned platforms. Develop and test multi-agent coordination, motion and behavior planning, target engagement, and survivability features. Work across the software lifecycle, integrate with sensor, estimation, communications, and control systems, contribute to shared frameworks, and support platform integration and testing (travel up to 20%).

Design and implement full‑stack, low‑latency web-based Ground Control Station and C2 systems (map-centric UIs, real-time telemetry, video streaming), lead architecture and APIs, mentor engineers, support field tests and mission deployments, and ensure interoperability with C2 standards.

Integrate and deploy autonomy software onto unmanned aircraft, prepare flight-ready systems, support on-site flight tests, debug hardware/software issues, collect and analyze flight data, collaborate across autonomy, GNC, and test teams, and support certification, compliance, and process improvements.

Lead design, integration, and fielding of autonomy software on unmanned platforms. Develop mission behaviors, platform control, multi-agent coordination, and deployment pipelines; own validation from simulation to live tests. Drive technical strategy, cross-team architecture, standards compliance, mentor senior engineers, and support on-site test/mission operations and hardware/software debugging.

Lead design and prototyping of generative AI experiences for autonomy development; drive UX for Hivemind products; perform user research, collaborate with CTO and product leads, and deliver reference implementations and integrations across full-stack web and edge systems.

Develop, integrate, and field autonomy software on unmanned platforms; own end-to-end integration from simulation to live tests; debug embedded/latency-sensitive systems; support on-site flight/sea/space tests; ensure C2 interoperability and improve deployment/test tooling and processes.

Design and implement tactical autonomy algorithms and high-performance software for unmanned air/land/sea platforms. Build behavior architectures, integrate classical and learning-based methods, run simulations and field tests, analyze mission data, and support defense programs and deployments.

Lead and grow a team of autonomy engineers to stand up autonomy on novel platforms (space, maritime, rotorcraft), own delivery from design through fielding, write and integrate latency-sensitive autonomy code, coordinate with platform and cross-functional teams, support live tests and deployments, and evolve R&D efforts into longer-term programs.

Lead and grow a small autonomy engineering team to design, integrate, validate, and field autonomy software for launched effects. Own delivery, hiring, mentoring, technical direction, ICDs, pre-deployment validation, live test support, hardware/software debugging, and cross-team collaboration for multi-agent and air-gapped fleet deployments.

Lead and grow a 5–10 engineer autonomy integration team for V-BAT/X-BAT, owning delivery, hiring, mentoring, and technical health. Drive integration of autonomy software (mission behaviors, VTOL transitions, multi-agent coordination), collaborate tightly with aircraft, perception, and capability teams, run ICDs and field tests, and support live exercises and deployments (20–30% travel).