Top Python Jobs in San Diego, CA

Lead architecture and technical direction for a high-volume log analytics platform spanning ingestion, storage, querying, reliability, and AI-driven capabilities. Shape the roadmap with engineering, product, leadership, and customers; build prototypes; guide migrations and schema changes; set reliability and cost standards; influence teams without direct ownership; mentor senior engineers and technical leads; and promote strong practices in quality, on-call operations, and incident learning.

Develop and deploy data solutions using Palantir Foundry and AIP for client engagements. Lead technical teams, coach team members, analyze system interactions, build applications with large datasets, and apply data engineering and analytics to deliver client outcomes. The role also includes managing client relationships, planning and executing projects, encouraging technology adoption, resolving stakeholder conflicts, and driving continuous improvement.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Leads the development and deployment of software and data solutions using Palantir Foundry and AI/ML technologies. Responsibilities include data engineering, analytics, system improvement, client account management, project ownership, team leadership, coaching, stakeholder engagement, and continuous improvement. The role requires building scalable applications with large datasets and delivering customer-focused solutions.

Design, develop, maintain, and deploy full-stack components for an autonomous coding CLI platform. Build scalable relational and NoSQL database solutions, implement CI/CD pipelines with GitHub and Azure, use AI-assisted development tools, and ensure cloud infrastructure performance, security, and scalability. Collaborate with engineering teams to integrate capabilities across software workflows and evaluate emerging technologies.

Leads the most complex AI deployments, escalations, and go-live support engagements. Sets the strategic roadmap for program tooling and infrastructure, evolves quality standards and playbooks, drives systemic improvements, mentors engineers, and partners with product, engineering, and customer success leadership. Represents the program in executive customer discussions while deploying and integrating AI features across enterprise environments.

Lead digital and embedded engineering for aerospace radar and electronic warfare products. Architect, design, simulate, verify, integrate, and transition digital subsystems and circuit cards into production. Develop FPGA architectures and VHDL firmware, create DSP algorithms, oversee circuit card design, and interface with RF and motion-control systems. Lead testing, documentation, customer collaboration, and technical mentorship of junior engineers.

Design, develop, maintain, and deploy full-stack components and automated coding tools for an Autonomous Coding CLI platform. Build scalable relational and NoSQL database solutions, implement CI/CD pipelines with GitHub and Azure, apply AI-assisted development tools, and ensure cloud infrastructure performance, security, and scalability. Collaborate with engineering teams to integrate capabilities across the software ecosystem.

Supports the design, integration, prototyping, testing, and release of mechanical systems for autonomous aircraft. Responsibilities include CAD modeling, drawings, bills of materials, tolerance analysis, engineering calculations, preliminary FEA, component selection, prototype testing, aircraft integration, troubleshooting, and root-cause analysis. Collaborates with multidisciplinary engineering, manufacturing, and test teams while completing defined tasks under guidance.

Develop and maintain automated test frameworks, CI/CD pipelines, and validation infrastructure for distributed autonomy software and hardware systems. Build Python tooling, UI and API test automation, simulators, test harnesses, and hardware-in-the-loop solutions. Analyze failures, improve coverage and observability, and collaborate with engineering teams on verification strategies for safety-critical aerospace software. The role also evaluates AI-assisted development tools for test generation, debugging, log analysis, and workflow automation.

Build and lead simulation platform infrastructure for autonomous aircraft systems. Responsibilities include integrating and developing simulators, creating scalable Monte Carlo experimentation capabilities, implementing multithreaded and multiprocess real-time simulations, validating physics models, partnering with autonomy and GNC teams, and guiding architecture, design reviews, and engineering mentorship.

Develop and use configurable, self-checking FPGA verification environments using SystemVerilog/UVM and/or VHDL. Create constrained-random test plans, reusable Verification IP, and coverage-driven test cases for electronic warfare signal-processing and control systems. Analyze metrics, improve verification methodologies, execute tasks across multiple projects, and collaborate with engineers and subject matter experts across U.S. locations.

Designs and maintains secure on-premises and cloud infrastructure, CI/CD pipelines, automation, container platforms, monitoring, and deployment processes. Troubleshoots infrastructure, networking, and production incidents while improving system reliability, scalability, and security. Collaborates with development teams, customers, and external stakeholders in a hybrid environment. The role requires active Secret clearance and experience with AWS GovCloud, air-gapped environments, virtualization, Linux administration, Kubernetes, Docker, scripting, automation, and infrastructure integration.

Develop, debug, integrate, and test software and complex software/hardware systems for intelligence and defense customers. Work with Java, AI/ML services, software design, and agile multidisciplinary teams. Support requirements and regression testing, product demonstrations, software installation, and system testing, with possible business travel. Participate in a structured first-year engineering development and mentorship program.

Integrate, validate, and deploy autonomy software across simulations, hardware-in-the-loop environments, and flight platforms. Configure sensors, interfaces, and platform adapters; develop integration tooling, deployment scripts, and configuration management; troubleshoot system behavior using logs, telemetry, and rosbag data; optimize CI/CD workflows; validate requirements and interface contracts; and collaborate with engineering, product, DevOps, and customer teams to deliver reliable autonomous systems.

Build and support full-stack applications for developing, training, simulating, and evaluating autonomous systems. Develop React and TypeScript interfaces, backend services, APIs, data models, and Python workflows. Deploy and troubleshoot containerized services across local, cloud, on-premises, and air-gapped Kubernetes environments. Collaborate with users, product, design, and engineering teams to translate complex workflows into reliable, extensible applications and reusable platform capabilities.

Develop Python-based automated testing, simulation analysis, log-processing, scenario-generation, and domain-randomization tools for the Hivemind Platform. Support test orchestration, distributed simulation, containerized environments, CI/CD, build troubleshooting, and technical documentation. Investigate failures using logs, telemetry, rosbags, network captures, and test results while collaborating with autonomy, systems, and platform engineers.

Supports integration, verification, and validation testing for autonomous unmanned aircraft systems. Assists with test planning, procedures, simulation and hardware-in-the-loop environments, hardware and software configuration, data collection, troubleshooting, defect investigation, reporting, and technical documentation. The role collaborates with systems, software, autonomy, hardware, and program teams and periodically supports flight-test sites, customer activities, and integration events.

Develop Python-based automated tests, validation tools, regression and performance testing workflows for autonomy software. Support SIL, HIL, VIL, simulation, laboratory, and hardware testing; analyze results, debug integration issues, create quality metrics and readiness reports, and integrate testing into CI/CD pipelines. Collaborate with autonomy, systems, flight-test, and integration teams working with robotic platforms, sensors, flight controllers, networking equipment, and mission computers.

Supports integration, verification, validation, and system-level testing of autonomy capabilities on unmanned aircraft. Responsibilities include test planning, procedure development, simulation and hardware-in-the-loop testing, hardware and software configuration, data and telemetry collection, troubleshooting, defect investigation, reporting, documentation, and test infrastructure maintenance. The role works under senior engineers and periodically travels to test sites, customer locations, and integration events.

Develop Python-based tools for simulation-data analysis, log processing, automated testing, scenario generation, and autonomy performance evaluation. Support test orchestration, distributed simulation, containerized environments, CI/CD, infrastructure configuration, debugging, and developer documentation. Collaborate with software, autonomy, systems, and platform engineers while contributing to reliable and repeatable Hivemind Platform testing workflows.

Develop C++ software interfaces connecting autonomy software with sensors, flight controllers, payloads, radios, and vehicle systems. Configure Linux mission computers, implement communication protocols, develop Python testing tools, and debug distributed-system data flow. Support software, hardware, vehicle, laboratory, and field integration testing while collaborating with autonomy, systems, test, and flight teams.

Build and support full-stack Forge platform features across React and TypeScript interfaces, backend services, APIs, databases, and Python workflows. Design reusable APIs and data models, deploy services across local and Kubernetes environments, and improve reliability through testing, observability, and troubleshooting. Partner with users, product, design, and engineering teams to translate complex autonomy development, simulation, training, and evaluation workflows into dependable applications.

Leads the technical vision, architecture, and development of Guidance, Navigation, Control, and State Estimation capabilities for autonomous aircraft. Builds and mentors a specialist engineering team, develops production autopilot and flight-control software, establishes reusable GNC platforms, and drives simulation, hardware-in-the-loop, and flight testing. Partners on Runtime Assurance, safety, airworthiness evidence, customer integrations, and cross-organization technical roadmaps.

Build and support production full-stack applications with a frontend focus using TypeScript and React. Design intuitive interfaces for simulation, synthetic data, testing, evaluation, and autonomy workflows. Integrate APIs and backend services, improve performance and accessibility, test complete user workflows, and create reusable components and extension points. Collaborate closely with developers, product, design, and domain experts to deliver reliable applications across local, cluster, edge, and air-gapped environments.