Top Python Jobs in San Diego, CA

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 deploy full-stack, streaming data, machine learning, and mission-focused applications. Collaborate with clients on requirements, architecture, deployment planning, Kubernetes operations, testing, implementation, documentation, and technical tutorials. Build data-driven applications using Java, Python, or JavaScript, cloud platforms, databases, Linux, shell scripting, ETL, and data pipelines. The role requires substantial software engineering experience, a Secret clearance with TS/SCI eligibility, U.S. citizenship, and IAT Level 1 certification.

Defines system requirements and architectures, integrates software onto autonomous vehicles and defense systems, and deploys and validates robotics, sensor, perception, communication, and autonomy systems. The role includes field testing, simulation, troubleshooting, system modeling, cross-functional collaboration, and technical documentation in operationally challenging environments.

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.

Administers and sustains Windows, Linux, virtualization, network, tactical computing, and containerized environments. Responsibilities include installation, configuration, patching, vulnerability remediation, security hardening, monitoring, troubleshooting, backup and recovery, user support, network infrastructure support, tactical data pipeline monitoring, documentation, and lifecycle tracking. The role works with IT, cybersecurity, engineering, data, and operational teams in an onsite defense environment.

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.

Leads full-stack software engineering and mission-focused machine learning system development. Collaborates with clients to implement streaming data platforms, plans deployments, deploys software on Kubernetes, develops Python, Java, and JavaScript applications, and creates documentation and tutorials. Requires cloud, database, Linux, shell scripting, ETL, and data pipeline experience, along with a Top Secret clearance and U.S. citizenship.

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%.

Designs, programs, integrates, commissions, and supports industrial robots, cobots, AMRs, AGVs, and related automation systems. Integrates robotics with safety systems, vision, PLCs, industrial software, and operational workflows. Uses simulation and digital twins for validation and virtual commissioning, supports autonomy and orchestration capabilities, conducts testing, troubleshoots hardware and software, and documents production systems. Requires at least three years of relevant experience and up to 75% travel.

Develop and integrate digital twins, 3D environments, simulations, virtual commissioning solutions, and industrial data connections for physical operations. Build Python or C++ extensions, APIs, data pipelines, and automation services using platforms such as NVIDIA Omniverse and OpenUSD. Calibrate and validate models, support operational decision-making, and implement production-quality testing, deployment, monitoring, and documentation. Collaborate with engineering, manufacturing, warehouse, robotics, data, and client teams. Travel may reach 75%.

Defines and governs architecture for robotics intelligence platforms, autonomous systems, multi-robot orchestration, fleet management, and production robotics services. Integrates robots with industrial systems, cloud, edge, GPU, simulation, and operational platforms. Leads architecture reviews, technical governance, production-readiness, lifecycle management, partner collaboration, reusable standards, and client-facing solutioning. Provides technical leadership across robotics, automation, AI, and platform engineering teams while supporting deployments from proof of value through scaled, multi-site production operations.

Join an agile team to design, develop, test, and deploy secure enterprise software. Participate in SAFe ceremonies, apply software engineering principles, build automation scripts, promote code reuse, and support the full lifecycle in secure environments.

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.

Develops, maintains, tests, and supports software and system components within Agile project teams. Responsibilities include requirements analysis, version control, build and CI/CD processes, automated testing, acceptance testing, technical documentation, infrastructure administration, architecture improvements, and systems modeling. The role requires DevSecOps experience in regulated government or DoD environments and development of resilient software architectures for DDIL and afloat/ashore PaaS environments.

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.

Build and maintain CI/CD pipelines, automate infrastructure, support secure containerized platforms, and resolve software delivery issues. The role collaborates with software and cybersecurity engineers to modernize U.S. Navy mission-planning systems using Kubernetes, infrastructure-as-code, scripting, and automation. This hybrid position requires working onsite periodically in the San Diego area and supporting regulated government 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.

Develops next-generation ground system solutions for aeronautics programs. Responsibilities include defining customer needs, architectures, interfaces, standards, constraints, and security requirements; leading trade studies, technology development, and subcontractor teams; writing Python scripts for configuration verification and troubleshooting; and integrating hardware, software, networks, storage, security appliances, and government interfaces. The role is full-time on-site in San Diego with potential hybrid work and up to 25% travel.

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.

Develops custom Computer Network Operations tools and software, including end-to-end data flows and tasking. Programs in languages such as Python, C, and C++, develops Windows, UNIX, embedded, and mobile applications, troubleshoots and debugs systems, authors technical documentation, and participates in design, code, and software readiness reviews. Requires an active TS/SCI clearance with polygraph.

Support secure DoD ISR systems through Linux administration, cloud infrastructure management, virtualization, container orchestration, automation, PKI administration, cybersecurity compliance, system integration, documentation, and shipboard deployments. The role requires troubleshooting and maintaining mission-critical environments, supporting Agile engineering teams, and may involve leading small engineering teams and mentoring junior staff. Travel to CONUS and OCONUS sites is required up to 10% annually.