Top Senior Python Jobs in San Diego, CA

Leads FPGA design verification for electronic warfare systems by architecting SystemVerilog/UVM or VHDL testbenches, developing constrained-random test plans, analyzing coverage, creating reusable verification IP, and improving methodologies. The role includes leading verification teams, mentoring engineers, managing schedules, supporting multiple projects, and collaborating across locations. Candidates need extensive FPGA/ASIC verification experience, relevant tools expertise, strong communication skills, and a current Secret clearance or eligibility to obtain one.

Leads SoC power analysis, modeling, optimization, and pre- and post-silicon power convergence. Manages and mentors power engineers while collaborating with architecture, design, verification, and product teams. Defines power methodologies, workflows, budgets, and sign-off processes; develops workload scenarios; improves accuracy and silicon correlation; and drives performance-per-watt targets throughout the SoC lifecycle.

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.

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.

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.

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.

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.

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.

Conduct structural analysis and testing for advanced UAV airframes and components. Build finite element models, perform static, modal, fatigue, and vibration analyses, validate results with hand calculations, define load cases and design margins, analyze telemetry and test data, and collaborate with multidisciplinary engineering teams to optimize lightweight structures for strength, safety, weight, and manufacturability.

Lead integration of autonomy components into reference implementations and deployable stacks. Develop C++ and Python tooling, software-in-the-loop and hardware-in-the-loop tests, platform integration layers, automated fixtures, and troubleshooting workflows. Investigate cross-system failures, support deployment to representative hardware, collaborate on flight testing, analyze integration issues, and create documentation and training materials. The role spans perception, localization, planning, real-time systems, and safety-critical autonomous platforms.

Develop and maintain autonomy integration environments, reference configurations, automated software-in-the-loop and hardware-in-the-loop tests, integration tools, and vehicle or hardware interfaces. Debug failures across planning, controls, simulation, perception, deployment, network, timing, and hardware boundaries. Support autonomy stack deployment, lab and flight testing, failure analysis, documentation, and technical collaboration across multidisciplinary teams.

Leads systems engineering across compute, camera, and radio portfolios, including requirements development, architecture, interface definition, integration, verification, qualification, testing, and lifecycle oversight. Coordinates technical teams, develops specifications and test plans, performs trade studies, and ensures customer requirements are satisfied. The role requires embedded software, flight and ground systems, processor, communications protocol, and technical leadership experience.

Conduct preliminary design, performance analysis, and sizing of advanced manned and unmanned aircraft. Develop and document technical solutions, brief customers, guide design teams, support proposals and business development, and analyze mission, aerodynamic, propulsion, maneuvering, takeoff, and landing performance. The role supports government programs and requires active Secret clearance, Special Program Access eligibility, and travel.

Integrate, modify, test, and maintain mission systems software across the full software development lifecycle. Responsibilities include requirements development, architecture, implementation, hardware-software integration, verification, qualification, deployment, and maintenance. The role supports Agile Scrum teams developing safety-critical embedded real-time software and requires collaboration with systems, hardware, and test engineers. Candidates need experience with C, C++, or Python, RTOS environments, RHEL, software testing, and government clearance requirements.

Lead trajectory prediction and aircraft-response modeling for safety-critical runtime assurance systems. Develop and validate models using Python, simulation, hardware-in-the-loop, and flight-test data. Integrate trajectory behavior with autopilot interfaces, analyze vehicle-state and telemetry data, support flight-test campaigns, and contribute to C/C++ implementation, testing, and debugging. Coordinate with algorithms, software, systems, test, and platform teams while producing validation evidence and algorithm handoff artifacts.

Build and operate Forge, a full-stack engineering platform for developing, testing, deploying, and diagnosing AI autonomy capabilities. Design composable user interfaces, typed versioned APIs, backend services, application lifecycle workflows, and AI-agent tool integrations. Ensure consistent behavior across local and remote environments while partnering with simulation, autonomy, ML, infrastructure, security, product, and design teams.

Provides technical leadership for automated testing and verification across autonomy software, machine learning systems, distributed services, simulation environments, hardware-in-the-loop platforms, and GPU infrastructure. Owns test architecture, MLOps quality, CI/CD and continuous training workflows, ML validation, observability, failure triage, scenario-based testing, and scalable Python automation. Collaborates across software, autonomy, data, simulation, and systems engineering teams while governing AI-assisted testing workflows.

Develop and integrate safety-critical Run-Time Assurance software for autonomous aircraft. Responsibilities include modern C++ development, real-time embedded systems, hardware and simulation integration, HIL and flight testing, interface design, testing, CI, static and dynamic analysis, documentation, traceability, and collaboration across software, systems, test, and platform teams.

Architect, deploy, and operate secure, resilient Oracle Cloud Infrastructure environments. Responsibilities include landing-zone design, Terraform-based infrastructure as code, workload migration, CI/CD, Kubernetes operations, observability, incident response, security, cost optimization, and support for Oracle and non-Oracle workloads. The engineer will collaborate with database, application, and security teams to deliver mission-critical cloud platforms.

Lead hands-on development of enterprise-grade Python applications, data-intensive services, and automation platforms. Responsibilities include system design, application development, database design and query tuning, automated testing, debugging, production support, reliability improvements, secure coding, and CI/CD practices. The role partners with product, data, and infrastructure teams, manages multiple projects, and mentors teams through strong technical and business communication.