Top Python Jobs in San Diego, CA

Lead infrastructure engineering teams and strategy for scalable, resilient, secure enterprise systems. Responsibilities include infrastructure design and maintenance, AWS and hybrid cloud adoption, automation, vendor and procurement management, budgeting, standards enforcement, cross-functional collaboration, cybersecurity, disaster recovery, and business continuity. The role provides technical leadership, mentorship, and oversight of infrastructure performance, reliability, and operational efficiency.

Lead the development of onboard real-time beam control systems, integrating control software with mission requirements, while managing interfaces and conducting performance analyses.

Lead development and technical delivery of maritime autonomy capabilities for USVs, UUVs, and cooperating UAVs. Design motion planning, localization, tracking, safety assurance, COLREGS-compliant behaviors, and heterogeneous multi-agent collaboration. Build high-performance, well-tested software, integrate it onto real platforms, support deployment and demonstrations, analyze mission logs, and contribute to R&D roadmaps. Collaborate across perception, planning, simulation, hardware, and operational test teams while helping customers define requirements and technical approaches.

Develop and deploy autonomy software for unmanned surface, underwater, and aerial vehicles in maritime missions. Responsibilities include motion planning, localization and tracking, safety assurance, COLREGS adherence, multi-agent coordination, distributed optimization, rigorous software testing, platform integration, deployment support, mission-log analysis, and autonomy R&D. The role also involves cross-functional collaboration, customer and demonstration support, roadmap development, and mentoring junior engineers. Travel is typically approximately 25% annually.

Lead technical direction for maritime autonomy capabilities across multiple programs. Develop motion planning, localization, tracking, safe maritime behaviors, COLREGS-compliant operations, and heterogeneous multi-agent collaboration for USVs, UUVs, and UAVs. Build and integrate high-performance, rigorously tested software; support deployment, vehicle testing, demonstrations, and mission-log analysis. Mentor engineers, guide architecture and roadmaps, research new algorithms, and collaborate across perception, planning, simulation, hardware, and operational test teams. Travel is typically about 25%.

Lead the architecture and implementation of Shield AI’s knowledge-graph-centered data platform. Build production APIs, DataOps infrastructure, storage and compute integrations, ingestion paths, SDKs, and reference architectures. Establish data-modeling, schema evolution, lineage, observability, security, reliability, and lifecycle standards. Partner with autonomy, ML, testing, infrastructure, product, and customer teams while evaluating technologies and remaining hands-on with implementation, benchmarking, and debugging across cloud and customer-managed environments.

Integrates biological protocols with prototype instrumentation, troubleshooting hardware, software, consumables, workflows, and assays. Designs hardware experiments, transfers molecular and cell biology protocols, gathers engineering requirements, and develops automation, data-analysis, instrument-control, and AI-assisted tooling. Collaborates with engineering and scientific teams to detect drift, classify failures, and optimize workflows. Requires hands-on instrumentation development, wet-lab familiarity, Python scripting, data analysis, and AI tool experience. Travel up to 20%.

Analyzes and diagnoses autonomous vehicle system faults across perception, planning, and AI software using on-road and simulation data. The role triages and prioritizes safety issues, performs root-cause analysis, identifies failure trends, develops tooling and workflows, and produces reports that guide engineering and leadership decisions on vehicle quality, safety, and robustness.

Leads advanced device development for Intel Foundry semiconductor process technologies. Manages device engineers, directs experiments and electrical or physical data analysis, develops test structures, validates design rules, supports PDK delivery, and collaborates across integration, modeling, reliability, and foundry engineering teams. Uses statistical analysis, data mining, machine learning, and fab data to guide process development and ensure performance, yield, reliability, and high-volume manufacturing readiness.

Deploy and integrate Shield AIs Hivemind autonomy software with customers worldwide. Provide on-site technical support, training, debugging, and documentation. Collaborate with sales and product engineering to support pre- and post-sales activities and improve autonomy products.

Develop and lead robotics software for motion and trajectory planning, kinematics, robot control, world modeling, and hardware integration. Build collision-free planning systems, real-time driver layers, validation suites, and learning-based robotics capabilities. Set technical direction, mentor engineers, collaborate with hardware and process teams, and ensure reliable, safe operation on physical robots.

Leads the architecture, roadmap, and hands-on development of fleet management, robotics data management, orchestration, control, and MES software. Serves as the team’s senior technical authority, making system design decisions, resolving complex engineering challenges, mentoring engineers, driving coding and architecture standards, managing technical risk, and collaborating across robotics, firmware, hardware, and software teams.

Leads architecture and development of fleet management, robotics data management, and MES software. Builds C++ and Python systems for robotic station monitoring, configuration, telemetry, logging, and results tracking. Sets technical direction for distributed automation integrations, mentors engineers, drives code quality and testing, manages builds and dependencies, and collaborates across robotics, firmware, hardware, and software teams.

Develop and implement computational design, BIM automation, and data-driven workflows for complex building projects. Build and validate Revit-integrated prototypes using tools such as Dynamo, Grasshopper, Python, C#, and the Revit API. Collaborate with architecture, engineering, digital delivery, IT, and project teams to improve coordination, documentation, QA/QC, and design efficiency. Measure automation value, document workflows, support scalable deployment, and communicate outcomes to project and firm leadership.

Design and standardize human-machine teaming requirements for Hivemind-enabled mission autonomy. Build requirement profiles, identify operator-autonomy dependencies and mission risks, translate operational needs into systems engineering requirements, and maintain traceability through testing and acceptance. Develop HMT standards and design patterns, collaborate on HMI/UX designs and scenario testing, apply human factors and cognitive science principles, present technical findings, and travel to company, test, demonstration, and customer locations approximately 20%.

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.

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.

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 deliver the X-BAT flight control system across all flight phases. Design control allocation for over-actuated systems, develop high-fidelity 6DOF simulations, define and execute V&V strategies (including Monte Carlo and HIL), diagnose sim-to-flight mismatches, support flight test operations, integrate control with propulsion/aero/actuation/sensors/autonomy, and mentor engineers.

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 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.

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.

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.