Top C++ Jobs in Washington, DC

Integrate autonomy software onto unmanned aircraft, prepare and validate flight-ready systems, support on-site flight tests, debug hardware/software interactions, capture and analyze flight data, collaborate with autonomy/GNC/systems teams, and support certification and compliance. Frequent travel (~30-40%) for field tests.

Develop and maintain Python-based analytics, automated test orchestration, and scenario-generation pipelines for autonomy simulation. Build adapters in C++/Python, analyze logs/rosbags, deploy distributed orchestration with Terraform/Kubernetes, and create telemetry ingestion and reporting frameworks to validate AI Pilot behaviors across secure and commercial environments.

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.

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.

Contribute production-quality code to Palantir products (Gotham, Foundry, Apollo) across the full product lifecycle. Collaborate with engineers, PMs, designers, and users; prototype, implement, and ship features. Learn on the job with mentorship and opportunities to engage directly with customers to understand real-world use cases.

Join Palantir Production Infrastructure to build and operate large-scale platforms (Rubix, Apollo) and core deployment, observability, and Kubernetes-based PaaS tooling. Own full product lifecycle, collaborate with cross-functional teams, and deploy software supporting civil and defense customers while learning from a paired mentor.

Develop and ship production-quality software for Palantir's Gotham defense product. Work across the product lifecycle on features like geospatial tools and release infrastructure, collaborate with cross-functional teams, and be mentored while contributing code and prototypes to mission-critical systems.

Build and ship scalable software for Palantir Gotham across the full product lifecycle. Collaborate with cross-functional teams, work directly with users to understand problems, and contribute high-quality code while paired with a mentor. May involve field visits to customers to learn mission needs.

Interns contribute production infrastructure code across deployment, observability, and environment platforms (Kubernetes PaaS, Apollo, Rubix). Paired with a mentor, they design, implement, and ship features, collaborate with cross-functional teams, and may observe field deployments with government or defense partners.

Build and maintain GitLab CI/CD pipelines, runner fleets, and cloud test environments. Integrate tooling (Jira, Confluence), automate workflows with scripts and webhooks, secure container registries and secrets, deploy Forge in Azure Gov Cloud, migrate builds to Nix, and troubleshoot pipelines, builds, and environment drift.

As a Forward Deployed Software Engineer, you will collaborate with customers to design and implement data solutions, managing projects end-to-end in a dynamic environment while applying strong engineering skills and creativity.

As a Forward Deployed Engineer, you'll collaborate with clients to architect and develop Mixed Reality applications, utilizing advanced AI to solve complex business challenges, while engaging directly with user needs and project execution.

The Forward Deployed Software Engineer works with customers to design and implement technical solutions using data, addressing complex problems and driving impactful outcomes.

Develop and deploy advanced autonomous systems integrating sensors and AI for military and commercial applications. Responsibilities include software development, integration, and system maintenance.

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, 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.

Build custom applications, integrations, and automated workflows for Legal operations. Use data and LLMs to eliminate manual processes, drive projects from ideation to deployment, and partner with stakeholders to scale legal tooling across the company.

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 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 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 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 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 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.