Top Senior Python Jobs in Washington, DC

Senior Full Stack Software Engineer role at Upside focusing on driving quality software development and enhancing consumer experiences through collaboration and technical choices.

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.

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.

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 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.

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).

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 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, 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 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.

Lead complex deployments of Deepgram's Voice AI platform to federal customers, guiding technical discovery, solution design, and integration builds while ensuring successful implementations.

Lead design and delivery of backend and data-driven services: translate product requirements into technical designs, implement and deploy production cloud services, mentor engineers, review code, drive technical decisions, and own the technical excellence and roadmap for your team.

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