Top Senior Python Jobs in San Diego, CA

Supports U.S. Navy enterprise networks through systems design, development, integration, configuration, troubleshooting, automation, patching, and lifecycle engineering. Develops Ansible, PowerShell, Python, and Bash tools; integrates Windows, Linux, and virtualized environments; performs root cause analysis; and supports DoD cybersecurity compliance, STIG implementation, RMF validation, testing, installations, and readiness reviews.

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.

Leads systems engineering activities across multidisciplinary teams, including requirements development, decomposition, traceability, verification and validation planning, interface definition, technical analysis, milestone events, configuration management, and stakeholder communications. Supports modernization and sustainment programs while coordinating with internal teams, suppliers, program leadership, and external customers.

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.

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 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.

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.

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.

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.

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.

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.

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.

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.

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.

Lead Firestorm’s Simulation team and develop a reusable UAS simulation platform supporting aircraft models, sensors, propulsion, flight software, SIL/HIL testing, scenario orchestration, distributed execution, training, and demonstrations. Manage simulation infrastructure, integrations, automated test environments, cross-platform deployment, and team growth. The role requires hands-on software and simulation expertise across complex aircraft, robotics, networking, and hardware systems.

Senior individual-contributor responsible for designing and implementing automated test infrastructure, performing device- and system-level opto-electronic characterization (L-I-V, spectral, beam quality, noise, LIDT), developing validation and environmental test protocols, ensuring regulatory and laser-safety compliance, authoring test documentation, and providing technical leadership and guidance across development and production.

Leads architecture and development for complex, high-performance classified software systems. Oversees development teams, makes architectural decisions, manages software complexity, and supports Agile delivery. Designs, documents, tests, and debugs software; evaluates requirements, cost, schedule, cybersecurity, CI/CD, interfaces, and monitoring strategies. Collaborates with program, integration, testing, and information assurance teams, leads customer technical discussions, and coaches developers.

Leads the design, development, integration, testing, and optimization of advanced control and automation systems for ASML’s EUV light source. Develops control algorithms, system identification, signal processing, and optimization solutions; performs laboratory and cleanroom testing; troubleshoots system failures; defines requirements and architectures; supports product roadmaps and verification; and mentors junior engineers. The role also coordinates projects, technical specifications, design reviews, and system improvements using sensor, actuator, software, and data analysis expertise.

Leads complex FPGA and RTL/firmware engineering initiatives for mission-critical defense systems. Provides architecture, technical direction, mentorship, design reviews, testing strategy, integration, performance improvements, and risk mitigation. Develops high-assurance DoD/NSA firmware, collaborates with cross-functional teams and customers, supports technical documentation and briefings, evaluates vendor technologies, and drives engineering process improvements.