Top Senior Python Jobs in Washington, DC

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%.

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).

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.

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: 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 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.

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.

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.

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.

Lead enterprise-scale cloud modernization and migration programs to AWS, design end-to-end architectures (including AI agent integration), define AI-native engineering standards, mentor engineering teams, implement IaC and CI/CD, enforce security and governance, and deliver measurable business value through technical strategy and execution.

Lead and manage software engineering teams to design, build, and integrate enterprise applications. Drive coding, testing, code review, CI/CD practices, and mentor staff while overseeing project planning, budgeting, and client delivery to meet timelines and quality standards.

Design, build, test, and maintain tax-focused software solutions using Java, Python, C# and JavaScript. Apply ATDD and CI/CD, create APIs and microservices, perform code reviews and debugging, manage project delivery, and collaborate with cross-functional teams to improve business processes and client outcomes.

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.

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.

The role involves leading complex deployments of Deepgram's Voice AI platform for federal customers, managing the full technical lifecycle from discovery to production. Responsibilities include technical delivery, customer integration, and contributing to product development based on field feedback.

As a Forward Deployed Infrastructure Engineer, you will build, operate, and maintain scalable services, develop software solutions, automate workflows, and provide support for critical government software systems.

Lead the technical direction of AI initiatives by building scalable backend systems, mentoring junior engineers, and ensuring operational excellence.