Top Python Jobs in Washington, DC

Leads software engineering teams developing innovative applications and scalable architectures for tax-focused digital transformation. Responsibilities include designing, coding, testing, deploying, and integrating software using .NET, Java, Python, Azure, APIs, and microservices. The role drives continuous delivery, applies systems thinking and ATDD, aligns solutions with client and business needs, and coaches diverse, high-performing teams through complex initiatives.

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.

Leads DevSecOps strategy and implementation for tax innovation projects, managing Azure cloud infrastructure, CI/CD pipelines, security controls, vulnerability remediation, reliability, and performance optimization. Partners with cross-functional teams, manages client-facing initiatives, evaluates risk, drives innovation, and coaches high-performing teams. Uses Azure DevOps, GitHub, Python, PowerShell, DataDog, and Log Analytics to improve secure software delivery and operational excellence.

Lead the Consumer Core full-stack team building core functionality across Kotlin Multiplatform front-end and Python/Java back-end. Drive architecture, security, reliability, cost-efficiency, tooling, AI adoption, and cross-functional alignment. Coach engineers, set domain boundaries, represent the team in planning, and scale systems and processes to support Consumer and Partnerships applications.

Design and conduct human-machine teaming experiments for autonomous systems, including robustness, resilience, operator-in-the-loop, and live-virtual-constructive testing. Develop quantitative and qualitative measures of workload, awareness, decision-making, trust, and reliance; analyze human-machine system data; and translate findings into design recommendations, requirements updates, assurance evidence, and product features. Collaborate with engineering and customer teams and travel to test and demonstration sites approximately 25% of the time.

Design and standardize human-machine teaming requirements for Hivemind-enabled mission autonomy. Build requirement profiles, identify operator-autonomy dependencies and mission risks, translate operational needs into systems engineering requirements, and maintain traceability through testing and acceptance. Develop HMT standards and design patterns, collaborate on HMI/UX designs and scenario testing, apply human factors and cognitive science principles, present technical findings, and travel to company, test, demonstration, and customer locations approximately 20%.

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.

Operate and maintain on‑prem, air‑gapped Linux infrastructure for US government customers. Design, deploy, and monitor hardware, networking, containers, and orchestration; automate operational tasks; troubleshoot production incidents; collaborate on SLOs and participate in on‑call support. Frequent travel to secure sites and working in classified environments required.

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 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.

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).

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 simulation-driven testing and automation for autonomy software. Build and maintain simulation-based test frameworks and test harnesses (SIL/HIL/VIL), develop Python tooling for test automation and data analysis, execute regression/integration tests, diagnose issues with developers, integrate tests into CI/CD, and maintain test documentation and metrics for mission-critical autonomous aircraft systems.

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.

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.

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.

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.

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 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 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.

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.

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.