Top Python Jobs in Washington, DC

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

As a Senior Site Reliability Engineer, you'll design and build complex systems, support Atlas platform operations, automate processes, and ensure high availability of services.

Design and implement UVM- and assertion-based verification environments for display ASICs. Collaborate with digital, analog, software teams; create/execute verification plans, coverage, and automation using Siemens Questa and scripting in Linux.

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 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.

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.

Lead architecture and implementation of high-performance C++ and Python systems, integrate distributed systems and simulation tools, own CI/CD pipelines, debug real-time multi-threaded systems, mentor engineers, and drive end-to-end integration across simulation and operational platforms.

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.

Lead architecture and implementation of high-performance C++ and Python systems, integrate distributed and real-time systems, own CI/CD and build tooling, debug multi-threaded systems, guide cross-team integration and mentor engineers, and evaluate new technologies to improve simulation and autonomy platforms.

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.

Design, implement, and maintain C++ and Python software for cross-platform, distributed real-time systems. Integrate third-party software/hardware and simulation tools, develop APIs/messaging (gRPC/REST/ZeroMQ), debug threading/timing issues, and improve CI/CD pipelines with Docker, CMake, Conan, and GitLab CI while practicing test-driven development and collaboration.

Lead integration, verification, and flight testing of Hivemind autonomy on Group 5 ACP systems. Own test strategy and execute multi-phase SIL/HIL/simulation/ground/flight campaigns, manage test readiness, safety-of-flight, and risk decisions, coordinate OEMs, government customers, and cross-functional teams, and define mission-level performance metrics.

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.

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 design and integration of high-performance C++ and Python systems across distributed, real-time environments. Own CI/CD, containerization, build tooling, messaging/APIs, and debugging. Drive end-to-end integration, mentor engineers, set technical direction, and evaluate technologies to improve system performance and stability in autonomy and simulation domains.

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.

Become an expert in the Hivemind autonomy stack, create and deliver hands-on technical training, develop training materials and documentation, support customer debugging, and collaborate with product and engineering to improve adoption and training practices. Role includes ~30% travel for in-person customer engagements.

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.

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 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).

Lead simulation-driven testing and automation for autonomy software: develop automated regression/integration/system tests, build and maintain simulation-based test frameworks and tools (SIL/HIL/VIL), diagnose issues with developers, scale simulation infrastructure, create test plans, and integrate test coverage into CI/CD pipelines using Python.

Integrate autonomy software onto unmanned aircraft, prepare and validate flight-ready systems, support on-site flight tests, debug hardware/software integration, capture and analyze flight data, collaborate with autonomy/GNC/systems teams, improve integration processes, and assist with certification and compliance. Travel ~30-40% for tests and field events.

Design, implement, and deploy safety-critical navigation and state estimation systems for aerospace platforms. Develop EKF and GNSS/INS integration, multi-sensor fusion for GPS-denied environments, FDIR and integrity monitoring, and V&V test plans. Support certification, requirements allocation, performance analysis, flight test evaluation, and provide technical leadership and mentoring.

Design, develop, and field high-performance Ground Control Station and C2 software using C++/Qt/QML and QGroundControl. Lead architecture and technical direction, mentor engineers, define APIs/ICDs, debug integration/latency issues, support field tests, implement post-mission debrief tools, and ensure interoperability with C2 standards.