Top Senior Linux Jobs in Washington, DC

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 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 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 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 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).

Develop, integrate, and field autonomy software for unmanned platforms; lead a small technical team through design-to-deployment; author ICDs; perform hardware/software debugging, system bring-up, simulation testing, and mission support; mentor engineers and coordinate with internal teams and external integrators. Travel ~10-20%.

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.

Develop and implement real-time sensor processing and multi-sensor state estimation algorithms (IMU, radar, cameras, GPS). Design pipelines, run field tests, integrate with cross-functional teams, and optimize for production on compute-constrained systems.

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.

Lead design, integration, and fielding of autonomy software on unmanned platforms. Develop mission behaviors, platform control, multi-agent coordination, and deployment pipelines; own validation from simulation to live tests. Drive technical strategy, cross-team architecture, standards compliance, mentor senior engineers, and support on-site test/mission operations and hardware/software debugging.

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.

Develop, integrate, and field autonomy software on unmanned platforms; own end-to-end integration from simulation to live tests; debug embedded/latency-sensitive systems; support on-site flight/sea/space tests; ensure C2 interoperability and improve deployment/test tooling and processes.

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 design and implementation of reliable, high-performance real-time data collection, processing, and routing for automotive edge devices. Define platform abstractions, APIs, and libraries across Linux and QNX ECUs. Drive QoS, backpressure, privacy, observability, testing strategy, and operational readiness. Partner with cross-functional teams, set technical direction, and mentor engineers to raise systems engineering quality.

The Data Center Engineer will manage physical servers and network hardware, ensuring their installation, maintenance, and troubleshooting, along with overseeing documentation and vendor coordination.

Own reliability, monitoring, and incident response for AI infrastructure; build automation and CI/CD tooling; manage Kubernetes/Docker production workloads; partner with infrastructure, security, and compliance; improve observability and documentation; develop internal full‑stack tooling in Go or Python.

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 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 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 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.

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.

Develop, integrate, and field autonomy capabilities for novel platforms (space, maritime, unmanned helicopters). Own end-to-end integration from software- and hardware-in-the-loop to live tests, partner with platform and cross-functional teams, support on-site testing, debug hardware/software issues, document designs, and improve integration and testing processes.

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.