Top Python Jobs in San Diego, CA

Plans and executes integration of hardware, software, networks, and mission subsystems for airborne ISR and tactical systems. Develops integration plans, configuration baselines, and test procedures; supports system bring-up, regression testing, troubleshooting, root-cause analysis, and discrepancy resolution. Collaborates across engineering and cybersecurity teams, reports integration risks and status, and briefs program leadership and customers. The role requires an active Secret clearance and occasional travel.

Designs, simulates, characterizes, and validates custom mixed-signal and digital interface circuits. Develops Liberty timing models across PVT, slew, load, and parasitic conditions; performs SPICE-based waveform analysis; automates characterization flows; and integrates models with synthesis, implementation, STA, signoff, and verification workflows. Collaborates with analog, digital, physical design, and verification teams while documenting methodologies and mentoring junior engineers.

Develop and maintain cross-platform build, packaging, and release pipelines for AAA games across consoles and mobile platforms. Bring engines up on new hardware, manage SDK upgrades, resolve low-level crashes and memory issues, and evolve internal tools for profiling, metrics, and data packaging. Lead infrastructure modernization, maintain build automation, and coordinate branch integration across engineering, QA, and production teams.

Develop and integrate software and AI capabilities for expeditionary tactical systems, including sensors, unmanned systems, command-and-control platforms, and TAK. Responsibilities include building Rust and JavaScript applications, integrating machine learning models, managing real-time data meshes and pipelines, converting tactical data formats, testing systems during field experiments, and advising technical leadership. The role requires collaboration with machine learning, data, and systems engineers and supports Department of the Navy technology strategy.

Designs and maintains secure AWS GovCloud infrastructure supporting AI/ML workloads and autonomous naval systems. Manages Kubernetes and OpenShift platforms, Infrastructure as Code, secure data flows, DevSecOps pipelines, monitoring, networking, and troubleshooting. Collaborates with AI/ML and software teams, documents systems for compliance, optimizes cloud performance and costs, and mentors junior engineers. The onsite San Diego role supports mission-critical DoD capabilities and requires up to 15% travel.

Supports secure cloud, hybrid cloud, and edge-to-cloud architecture, deployment, automation, integration, and sustainment for Navy and Department of War mission capabilities. Duties include Infrastructure as Code, DevSecOps pipelines, cloud platform operations, container deployments, cybersecurity compliance, RMF documentation, troubleshooting, monitoring, and coordination with engineering, cybersecurity, operations, and government stakeholders across AWS, Azure, on-premises, tactical, and classified environments.

Leads the design, implementation, modernization, and sustainment of secure cloud, hybrid, and edge-to-cloud architectures supporting Navy and DoW missions. Develops solutions across AWS GovCloud, Azure Government, on-premises, tactical, and containerized environments. Implements DevSecOps pipelines, Infrastructure as Code, automation, security controls, and multi-classification architectures. Provides technical leadership to engineering, cybersecurity, operations, and government stakeholders while supporting architecture reviews, trade studies, risk management, compliance, and mission assurance.

Lead DevOps engineer responsible for designing, building, and maintaining CI/CD pipelines and infrastructure across unclassified and classified environments. Support cloud toolsets, manage Kubernetes clusters, ensure security/compliance with DoD standards, liaise with corporate IT, coach teams on DevOps best practices, and operate in a hybrid setting with regular on-site access to government facilities.

Develop and maintain system-level models and simulations for architecture trades, requirements analysis, performance assessments, and design decisions. Plan and execute model verification and validation using test, flight, or operational data. Document assumptions and results, support risk identification and technical recommendations, and present trade-study findings to stakeholders. Collaborate across systems, software, hardware, and integration engineering teams on complex airborne ISR and mission systems.

Designs, develops, tests, documents, and integrates algorithms and software for intraoperative neuromonitoring medical devices. Responsibilities include machine learning model development using clinical data, software architecture, application development, root-cause analysis, cross-functional product collaboration, and full lifecycle ownership of algorithm projects. The role requires compliance with FDA regulations, ISO 13485, and related medical-device standards, with travel up to 10%.

Leads architecture, design, implementation, and delivery of complex embedded, connected-device, and application software for regulated medical products. Owns technical decisions, secure connectivity, device management, lifecycle traceability, verification, and software quality. Partners cross-functionally to address risk, cybersecurity, regulatory requirements, and delivery constraints. Mentors engineers, improves engineering practices, resolves architectural issues, and remains hands-on with C/C++, embedded Linux, RTOS, real-time behavior, networking, and software development tools.

Build and maintain CI/CD pipelines, automate infrastructure, and support secure containerized platforms for U.S. Navy mission software. The role partners with software and cybersecurity engineers to resolve delivery issues, adapt technical stacks, and enable rapid microservice deployment to orchestration platforms. Responsibilities include infrastructure automation, container platform support, and pipeline engineering in regulated environments.

Develop, integrate, and maintain system-level models and simulations for architecture trades, requirements analysis, and performance assessments. Plan and execute model verification and validation using test, flight, or operational data. Collaborate across engineering disciplines, document model assumptions and credibility, analyze results, identify risks, and present technical findings to stakeholders and leadership. The role supports the AISR&T airborne ISR program and requires an active Secret clearance.

Build a new Physical AI product line spanning edge devices, cloud infrastructure, and user-facing safety tools. Own real-time ingestion, multi-tenant access control, dashboards, compliance analytics, operator coaching workflows, and AI agent features. Work directly with customers, run pilots, ship rapidly, and measure product usage. The role requires broad full-stack range across backend, cloud infrastructure, DevOps, frontend, and real-time data experiences.

Develop internal applications, infrastructure, and tools supporting automated aircraft engineering, certification, requirements management, architecture modeling, and flight-test data analysis. Own the full software lifecycle from planning and coding through deployment, collaborate with product owners and end users, and improve engineering workflows using full-stack web technologies, databases, cloud infrastructure, telemetry pipelines, and data visualization tools.

Manage configuration identification, control, status accounting, audits, baselines, change requests, repositories, release processes, and configuration metrics for aerospace ISR systems. Coordinate with engineering, integration, testing, logistics, and program management to ensure hardware, software, documentation, and system configurations remain traceable, controlled, compliant, and accurately documented.

Designs, develops, tests, and debugs embedded software for satellite systems. Responsibilities include bootloaders, board support packages, device drivers, embedded operating systems, hardware integration, verification planning, and architectural leadership. The role requires solving complex low-level software problems, developing test programs, improving engineering processes, and collaborating cross-functionally. Key expertise includes C, Python, VxWorks, Embedded Linux, RTEMS, Buildroot, Yocto Linux, NAND flash file systems, and laboratory debugging equipment.

Develop and maintain software configuration management, release engineering, build, deployment, and version-control processes for DoD software programs. Support ClearCase, ClearQuest, Jira, GitHub, scripting, databases, build environments, release schedules, configuration control boards, and platform integration builds. Troubleshoot system and deployment issues, automate productivity tools, maintain documentation and standards, administer related repositories and SharePoint structures, and coordinate with developers, QA, administrators, vendors, and customers.

Lead technical strategy and implementation of V-BAT fleet data analysis pipelines and tooling. Transform raw flight, simulation, and production data into metrics, dashboards, and reports; perform fleet-wide studies, anomaly investigations, and root-cause analysis; partner with cross-functional teams and mentor engineers on analysis best practices.

Lead NPI from first silicon to high-volume manufacturing for precision analog and mixed-signal ICs. Develop and optimize wafer sort and final test solutions (Teradyne UltraFlex IGXL), correlate bench and ATE results, establish production limits, design/validate test hardware (load boards, probe cards, sockets), perform silicon debug/root-cause analysis, support qualification and transfer to OSAT, and create automation tools using Python and JMP to improve throughput and quality.

Develop distributed computing algorithms, performance metrics, and analysis tools for Zoox’s Collision Avoidance System. Analyze petabytes of urban driving data, evaluate system performance, and collaborate with CAS Perception, Planning, Systems Design, Mission Assurance, and QA engineers to define autonomous-driving validation metrics and plans.

Designs and simulates FPGA/modem systems using Ultrascale+ and Versal platforms. Develops VHDL and SystemVerilog designs, works with high-speed SerDes and communication interfaces, and uses scripting languages for development and automation. The role requires extensive FPGA experience and offers contract-to-permanent potential. Software-defined radio/modem, PetaLinux, RF design, encryption, and active government clearance experience are preferred.

Lead development of autonomy capabilities for space platforms including distributed optimization, tasking/scheduling, track fusion, RPO and motion planning. Build high-performance, well-tested software, integrate on real vehicles, support deployments and testing, and research/roadmap advanced autonomy techniques for defense applications.

Lead development of space autonomy capabilities including distributed optimization, tasking/scheduling, track fusion, rendezvous/RPO, and motion/behavior planning. Build high-performance, testable software, integrate and validate on real platforms, support deployments, and mentor engineers while contributing R&D and roadmaps.

Design, implement, and deploy autonomy capabilities for space platforms including distributed optimization, tasking/scheduling, track fusion, RPO, and motion/behavior planning. Build high-performance, well-tested software modules, collaborate across perception, planning, simulation, hardware, and flight test teams, support deployments and mission log analysis, and contribute R&D and roadmaps to advance autonomy for satellites and missile defense.