Top Python Jobs in San Diego, CA

Design, build, and scale high-performance deterministic aircraft subsystem models and simulation infrastructure in C++. Implement tests, V&V, and faster-than-real-time simulation tools. Collaborate with autonomy, embedded, GNC, and test teams, perform system performance analysis, and produce reports and visualizations to support aircraft development and automated flight qualification.

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 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.

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.

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 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.

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.

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 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.

Serve as the safety authority for airborne Hivemind software: derive and allocate safety requirements, maintain traceability, lead hazard and failure analyses (FHA/FMEA/FTA), author safety documentation and system models, collaborate across the stack to integrate safety into architecture, and support generation and validation of certification evidence.

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.

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.

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.

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.

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.

As a Principal Software Reverse Engineer, you will reverse engineer software and firmware, lead technical teams, and develop innovative cybersecurity solutions.

Design, implement, and scale microservices in a DevSecOps environment to transition mission-planning software from R&D to production. Collaborate with scientists to productionize mathematical and AI models, support deployments, and maintain well-documented APIs and services.

The DevOps Engineer designs, implements, and maintains cloud infrastructure, automates processes, streamlines deployments, and improves performance for an on-premises environment.

Forward Deployed Software Engineers create solutions to customer challenges by leveraging Palantir technology and open-source tools. They handle project design and implementation while iterating based on user feedback.

The Director of Engineering - CAD will lead the development of SoC design methodologies, focusing on power delivery and implementation strategies across advanced technology nodes. Responsibilities include collaborating with teams to optimize designs and drive innovations in automation for complex systems.

Lead a DevSecOps team to design, implement, and maintain on-premises and cloud infrastructure with a focus on security, CI/CD, automation, containerization, monitoring, troubleshooting, and stakeholder collaboration in a fast-paced defense environment. Requires improving processes, disaster recovery, and ensuring system scalability and reliability.

Lead design verification for FPGA/ASIC signal-processing and control systems: plan and build SystemVerilog/UVM/OVM/VHDL self-checking, constrained-random testbenches; develop test plans; collect/analyze coverage; create reusable VIP; lead and mentor DV teams; drive process improvements and execute schedules.

As a Solution Architect Senior Manager, you will lead software solution development, drive digital transformation, and oversee teams through complex projects while maintaining client relationships.

Lead full stack application migrations to AWS, architect solutions, mentor teams, and drive AI-native engineering strategy while ensuring cloud readiness and modernization.