Top Python Jobs in San Diego, CA

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.

Perform finite element modeling and structural analyses (static, modal, fatigue, vibration) for UAV airframes; validate FEA with hand calculations and test data; develop test plans, define load cases and material properties, optimize structures for weight and strength, and document technical recommendations.

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.

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.

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.

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 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.

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.

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.

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.

Lead development and analysis of aerodynamic and structural load cases for an air vehicle. Perform maneuver, gust, landing, and ground loads (quasi-static and dynamic), aeroelastic stability checks, validate loads with FEA and flight test, coordinate across GNC/aero/structures, produce documentation, and improve loads methodologies and automation.

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.

Perform finite element modeling and analyses (static, modal, fatigue, vibration) for UAV structures; validate results with hand calculations; support structural test planning, data analysis, load definition, and cross-functional design optimization to ensure lightweight, safe airframe performance.

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 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.

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.

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.

Design, build, and scale automated test frameworks and CI/CD infrastructure for distributed autonomy software. Develop Python tooling, GitLab CI pipelines, UI/API tests (Go/TypeScript), HIL simulators, and AI-assisted workflows. Integrate testing across simulation, edge, cloud, and hardware; analyze failures; improve coverage, observability, and verification for safety- and mission-critical aerospace systems.

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.

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.

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.