Top Remote Python Jobs in Washington, DC

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 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).

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 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.

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.

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.

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.

Develop and execute UVM/SystemVerilog-based verification for AR display integrated circuits. Build assertion-based testbenches, create and run verification plans with functional and code coverage, use Siemens Questa for simulation and debug, and automate verification flows while collaborating with digital, analog, software, and verification teams.

Support and maintain complex applications and infrastructure for a government customer: monitor and triage events, troubleshoot Linux/Windows servers, deploy and integrate software (AWS, CloudFormation, RDS), use Salt for configuration management, work with databases (Oracle, MongoDB, PostgreSQL, MySQL), write SOPs, manage security groups, and support after-hours deployments. Requires strong communication and collaboration with developers and vendors.

Lead hands-on implementation of Celonis solutions for enterprise (federal) customers. Direct AI deployment agents to build data models, analyses, KPIs and operational solutions; validate AI outputs; run discovery and value workshops; ensure data connectivity; drive rollout, adoption, and handover; and develop domain-specific solution patterns to quantify business impact and sustainably scale process improvements.

Design and implement secure, scalable backend services for voice agents, integrate AI models and telephony, improve inference, debug concurrent systems, and collaborate with Product to deliver features end-to-end.

As a Solutions Architect at Deepgram, you'll engage with customers post-sales to resolve complex technical issues, create scalable solutions, and enhance support processes, using your engineering skills and experience in customer-focused roles.

Lead QA Automation Engineer to architect and maintain scalable test automation frameworks for web, API, and database layers; define automation, regression, performance, and release testing strategies; write and run automated API/UI/integration/regression/performance tests; integrate tests into CI/CD; own QA backlog, mentor engineers, troubleshoot complex defects, and collaborate cross-functionally to ensure release readiness and quality standards.

The Manager of Software Engineering will lead the Developer Environments team, enhancing developer productivity through effective environment provisioning and CI/CD workflows while mentoring engineers and implementing system reliability improvements.

Lead technical direction and delivery for the Acquisition & Onboarding full‑stack team. Build and maintain mobile (React Native/native) and web experiences, backend services at scale, and operational tooling. Drive architecture, mentor engineers, ensure reliability/monitoring/on‑call readiness, collaborate with product and design, and improve dev processes, testing, and release practices to impact conversion and retention.

Serve as the technical lead for partner integrations of DNSid: design and build production-grade integrations, run POCs and workshops, produce enablement materials, translate partner requirements into product feedback, and own the path from demo to deployment while collaborating with product, standards, and engineering teams.

Lead and scale Forward Deployed Engineering and Technical Support teams, owning customer technical outcomes from pre-sales through deployment. Define engagement models, SLAs/SLOs, on-call/escalation structures, tooling, and feedback loops into Product and Engineering. Partner cross-functionally to prioritize roadmap, improve self-service, and drive operational discipline.

Lead architecture and delivery of Control Center platform capabilities (MCP tool registries, AI orchestration, access automation). Design agentic AI integrations, HITL workflows, and evaluation/guardrail frameworks. Own backend services, SLOs, observability, incident response, and operational readiness for Tier-1 systems. Drive cross-team technical direction, author TDDs, run design reviews, mentor engineers, and partner with Product and Security to deliver secure, scalable platform primitives.

Work as an SRE embedded with product teams to improve reliability by fixing application code (primarily TypeScript), building observability (Prometheus, Loki, Grafana, Alloy), defining SLIs/SLOs, leading incident response and postmortems, automating toil, and supporting deployments across on‑prem DoD and AWS environments.

Lead architecture, design, and delivery of PET product features; write production full‑stack code; champion testing, observability, CI/CD and operational readiness; mentor engineers and collaborate with product to shape technical roadmap.

Own the technical lifecycle and operational health of Runpod’s global high-density GPU fleet. Responsibilities include hardware validation and benchmarking, fleet monitoring, SLA and downtime auditing, network and systems troubleshooting, incident coordination, partner technical support, AI-assisted operational automation, and infrastructure tooling. The role requires Linux, Docker, NVIDIA GPU, datacenter networking, and performance-tuning expertise, with potential future on-call participation.

Design, build, and maintain high-throughput data ingestion and processing pipelines; integrate AI-powered infrastructure; implement and support complex computing algorithms and distributed services; own systems end-to-end including architecture, observability, reliability, and operational support; lead architectural initiatives and reduce system complexity while maintaining performance on large-scale real-time data.

Develop and ship full-stack web and mobile experiences across Affirm’s consumer app and website. Collaborate with product, design, analytics, and engineering teams to break down projects, make technical decisions, write tested and extensible code, launch scalable APIs, monitor service health, support on-call operations, review code, and participate in team development and interviewing.