Top Senior Python Jobs in San Diego, CA

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.

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.

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.

Integrate and verify autonomy software on aircraft hardware across SIL, HIL, ground, and flight-test environments. Develop test plans, test cards, schedules, and automation; identify and resolve interface, timing, protocol, and hardware/software integration gaps. Coordinate with aircraft vendors, configure test benches, troubleshoot anomalies, assess flight readiness, and analyze post-flight data. The role requires Linux and Python proficiency, cross-functional coordination, periodic travel, and eligibility for a U.S. DoD SECRET clearance.

Performs structural analysis and testing for advanced UAV airframes and components. Builds finite element models, conducts static, modal, fatigue, vibration, and shock analyses, validates results through hand calculations, and analyzes telemetry and test data. Collaborates with engineering teams to optimize lightweight composite and metallic structures for strength, weight, safety, and manufacturability. Documents technical findings and supports structural test planning, certification, and continuous improvement of analysis methods.

Build and operate Kubernetes-native platform services and distributed orchestration capabilities supporting AI workloads across cloud, on-premises, edge, sovereign, and air-gapped environments. Design production software, data-processing infrastructure, observability, deployment patterns, and operational standards. Establish reference architectures, reliability practices, benchmarks, and recovery procedures while partnering with autonomy, ML, simulation, infrastructure, and product teams. Provide hands-on technical leadership in distributed systems architecture, implementation, troubleshooting, performance analysis, and platform reliability.

Leads software teams developing, integrating, deploying, and maintaining full-stack mission applications for DoD and intelligence customers. Builds prototypes and high-performance user interfaces, translates operator needs into features, integrates systems, and conducts deployment and field testing in secure operational environments. The role combines customer collaboration, product discovery, engineering leadership, and software delivery in high-security settings.

Maintain and improve the reliability, scalability, performance, and operability of ServiceNow’s federal cloud infrastructure. Resolve infrastructure issues, automate repetitive work, develop monitoring solutions, reduce incidents and MTTR, and lead reliability initiatives across hardware, networking, systems, applications, and cloud technologies. This third-shift role supports government customers on a Sunday-Wednesday, 10-hour schedule with no on-call rotation.

Develop and optimize C++ and Python software for autonomous behavior and motion planning. Design trajectory-planning algorithms for single- and multi-agent systems, build testing and simulation tools, diagnose concurrency and performance issues, and validate software on simulated and real hardware. Collaborate across teams on requirements, architecture, flight testing, and product maturation while mentoring engineers and applying advances in robotics and learned planning.

Build and operate developer tools, internal platforms, development environments, project templates, and AI-enabled workflows for Hivemind engineering teams. Improve developer productivity through reusable tooling, paved paths, documentation, adoption efforts, and inner-source practices. Partner with developers to identify friction, measure outcomes using DORA metrics and feedback, and drive technical direction. Staff-level responsibilities include leading cross-team initiatives and shaping organization-wide developer productivity strategy.

Own platform reliability, observability, incident response, scaling, capacity planning, and deployment automation. Monitor system health, debug and resolve incidents, build logging and monitoring tools, improve CI/CD pipelines, develop self-service automation, and strengthen high-availability delivery systems. The role requires clear incident communication, post-incident learning, and collaboration across engineering teams in secure, high-side environments.

Designs and operates scalable platform infrastructure across cloud, on-premise, and hybrid environments. Builds infrastructure-as-code frameworks, CI/CD pipelines, developer tooling, automation, observability, and secure deployment patterns. Partners with engineering, security, and infrastructure teams to improve reliability, resilience, compliance, and developer productivity across mission-critical systems.

Develop and implement advanced ASICs for aerospace, defense, commercial, and space applications. Responsibilities include physical design, synthesis, timing analysis, EMIR, layout verification, constraints, DFT, formal verification, scripting, and use of EDA tools. The engineer may lead complete design efforts, support advanced technology nodes and radiation-hardened designs, and contribute to post-silicon debug and testing.

Design and maintain C++ and Python software for complex cross-platform systems. Develop APIs, messaging interfaces, CI/CD workflows, and automated tests while integrating distributed real-time systems, simulation tools, and third-party hardware and software. Debug system-level issues involving threading, timing, and data flow, contribute to architecture, and collaborate across teams. The role requires active Secret clearance and supports potential progression to TS/SCI clearance.

Leads enterprise network transformation and modernization initiatives, architecting secure, scalable solutions across on-premises, hybrid-cloud, multi-cloud, edge, and mission-critical environments. Designs networking for AI and data-intensive workloads; develops automation, orchestration, infrastructure-as-code, governance, standards, and technology roadmaps. Integrates network infrastructure with cloud, security, observability, and enterprise platforms while advising clients and leading complex transformation programs. Travel may range from 25% to 100%.

Leads enterprise network architecture, modernization, and transformation initiatives across on-premises, cloud, hybrid, and edge environments. Designs secure, scalable infrastructure for AI, analytics, and high-performance workloads; develops technology standards, governance, roadmaps, and architecture reviews. Integrates networking with cloud, security, observability, and enterprise platforms while applying automation, Infrastructure as Code, Zero Trust, and modern operating models. Client travel may range from 25% to 100%.

Design, develop, integrate, and test safety-critical embedded real-time software for flight/mission systems. Develop automated tests, analyze software requirements, debug hardware/software integration issues, produce technical documentation, and support lab-based Agile development and system-level qualification activities.

Lead the establishment and maturation of the SRE function across cloud infrastructure and platform services. Define reliability targets, build observability, lead incident response and root-cause analysis, improve resilience through automation and testing, and develop operational tooling. Partner with engineering teams on reliability requirements, establish incident practices, mentor engineers, and manage the short- and long-term SRE roadmap.

Architects, develops, and modernizes full-stack containerized applications and microservices. Builds Kubernetes environments, CI/CD pipelines, Helm releases, and DevSecOps security automation. Optimizes relational databases, hardens systems to DISA STIG standards, and mentors engineering teams. Requires strong Linux, Docker, Kubernetes, software architecture, and deployment expertise, plus a Secret clearance or ability to obtain one.

Develop and maintain embedded software applications across the full SDLC. Collaborate with cross-functional teams to integrate, test, deploy, and troubleshoot software and systems. Work with Agile practices, object-oriented and multithreaded programming, embedded systems, DevOps tools, and real-time operating systems. The role is full-time on-site in San Diego or El Segundo, requires an active Top Secret clearance and SAP access eligibility, and may involve up to 25% travel.

Design and implement FPGA, digital ASIC, and mixed-signal ASIC systems using HDL. Develop verification methodologies, test benches, test plans, coverage models, and test harnesses. Perform timing, noise, and signoff analyses; resolve congestion and implementation issues; support lab integration and troubleshooting. Collaborate with systems, firmware, architecture, and product engineering teams across the ASIC/FPGA lifecycle, including design, verification, validation, integration, and testing.

Designs, analyzes, tests, and integrates complex aeronautical hardware and software systems. Responsibilities include systems engineering, trade studies, requirements development, architecture design, interface definition, verification planning, anomaly resolution, technical documentation, and Agile collaboration. The engineer will use MBSE and DOORS, support system integration and testing, communicate technical findings, and work full-time on-site in California with up to 25% travel.