Top Senior Python Jobs in San Diego, CA

Design, implement, test, and deploy interactive UX and data-visualization front-end applications for defense programs. Build high-performance components, optimize responsiveness across devices and browsers, integrate geolocation/mapping, containerize deployments (Docker/Kubernetes), collaborate with stakeholders, and produce software documentation and user training materials.

Vannevar is seeking a Senior Software Engineer to lead the deployment of AI-enabled software products in government environments, focusing on security and compliance. Responsibilities include roadmap ownership, technical design, mentorship, and documentation.

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.

Perform FEA and hand calculations to evaluate and optimize UAV airframe structures. Conduct static, modal, fatigue, and vibration analyses, support structural test planning and data correlation, define loads and material properties, and produce structural analysis reports while collaborating with cross-functional engineering teams.

Lead full-stack mission engineering: design, build, deploy, and integrate secure software for DoD/IC missions. Lead engineering teams, collaborate with military/government users, prototype MVPs, perform field deployment and testing, and deliver high-performance, user-focused interfaces.

Translate product user stories into clear, testable engineering requirements for the Hivemind SDK. Define, model, and validate system behavior, maintain requirements traceability, support system modeling with SysML/Cameo, and collaborate with Product, QA, and engineering to ensure requirements are implemented and verified.

Lead system-level verification and validation of aircraft software by designing realistic mission test scenarios, managing V&V events to verify flight readiness, writing Python test analyzers, producing coverage and release-readiness reports, and improving simulation and fault-injection capabilities.

Lead integration and validation of the Hivemind autonomy stack across simulation, HIL, and flight platforms. Configure sensors, drivers, communication interfaces, and platform adapters; develop integration tooling and CI/CD; analyze logs/rosbag to triage defects; collaborate with engineering and product teams to ensure interoperability, release readiness, and end-to-end system compliance.

Hands-on role integrating and flight-testing Hivemind autonomy across Group 1-3 aircraft. Responsibilities include bench and flight bring-up, debugging autonomy/flight controllers/radios, building test tools and automation in Python/C++, developing hardware interfaces, running SIL/HIL/VIL and live flight tests, analyzing data, and improving test infrastructure in collaboration with software, hardware, and flight teams.

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.

Own and maintain native C++ build systems for autonomous aircraft. Improve developer velocity by reducing build/test cycle time, integrate CI with HIL and simulation, implement monitoring and alerts, troubleshoot build/test failures, and collaborate with engineers to design and deploy DevEx/DevOps solutions.

Perform and validate finite element and hand-calculation structural analyses for UAV airframes and components. Develop FEMs, run static/modal/fatigue/vibration studies, support test planning and correlation, define loads/materials/margins, and present structural recommendations while collaborating with cross-functional teams to optimize lightweight aerospace structures.

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.

Design and build automated test capabilities for V-BAT: define and automate system-level test cases, implement interfaces/drivers for simulation and hardware, prototype and harden test solutions, and support release and flight test activities working with GNC and Embedded teams.

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.

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.

Support selection, characterization, calibration, and integration of multi-modal navigation and localization sensors (IMUs, GNSS, cameras). Develop and run test plans, calibration scripts, and data-processing tools. Work cross-functionally with EE/ME/SW on electrical interfaces, mounting, thermal/vibration, and software drivers. Debug hardware–firmware–software issues, document trade studies and integration requirements, and support production and occasional travel.

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.

Own selection, qualification, and lifecycle management of electronic components. Manage PLM data, AML/AVL, PCNs/EOL mitigation, BOM reviews, vendor lists, alternate sourcing, and supplier technical engagement to ensure reliability and supply continuity.

Lead and grow the Hivemind Development Platform team to own SDK package management, Nix-based build infrastructure, developer tooling, CLI/SDK experience, and service-backed components. Drive roadmap, cross-team collaboration, operational readiness, reliability, observability, and developer productivity for multi-language SDKs across internal and external users.

Lead and mentor a team integrating and validating the Hivemind autonomy platform across SIL, HIL, and flight environments. Drive architecture and tooling for integration, review logs/telemetry/rosbags, triage cross-system defects, partner with Engineering/Product/Program teams, and ensure capabilities meet product and customer requirements while remaining hands-on in system integration and debugging.

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 scale high-performance, deterministic aircraft subsystem models and simulation tooling in C++. Build infrastructure for automated testing (HITL/SITL, CI/CD), implement unit/system/regression tests, perform model verification and validation, analyze system performance, and collaborate with autonomy, embedded, GNC, and test teams to ensure simulation fidelity to real aircraft.