Top Python Jobs in San Diego, CA

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.

Software Engineer Interns design, build, test, and debug production-quality software for autonomous systems. Projects may involve applications, embedded flight software, firmware, machine learning, simulation, APIs, data pipelines, or cloud infrastructure. Interns analyze requirements, collaborate with engineers using Agile practices, and deliver real features or capabilities during a 10–12 week paid internship.

Designs, builds, and operates shared cloud and private-cloud platforms across Azure and AWS. Develops infrastructure-as-code, automation, Kubernetes capabilities, CI/CD pipelines, observability, and self-service developer tooling. The role establishes reliability, security, scalability, and cost standards; supports troubleshooting, capacity planning, vulnerability remediation, disaster recovery, and lifecycle management; and leads platform initiatives through production while contributing to architecture and mentoring engineers.

Develop production perception software for autonomous systems, spanning algorithms, modern C++ libraries, integration, testing, validation, and SDK delivery. Work across object detection, tracking, computer vision, sensor modeling, mapping, and multi-sensor fusion. Diagnose complex system behavior, improve architecture, review designs, mentor engineers, and convert research or partner technology into dependable, reusable product capabilities. Evaluate foundation-model applications for autonomy and perception workflows.

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.

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.

Software engineering interns develop code, resolve critical problems, and improve system stability and resilience on defense-related projects. Interns collaborate with experienced engineers, contribute to real-world customer solutions, and gain exposure to frontend, backend, cloud, DevOps, database, image processing, machine learning, and GIS technologies through BAE Systems’ LEAP summer 2027 program.

Electrical Engineering Interns will gather requirements, design, and validate avionics assemblies and test fixtures. They will work across power electronics, communications, RF, and related disciplines; build test stands involving relays, PLCs, PCBAs, and harnesses; use Python for test automation, analysis, and simulations; and participate in cross-functional design reviews. The internship is a 10–12-week paid program for students pursuing Electrical Engineering or a related STEM degree.

Lead development and technical delivery of maritime autonomy capabilities for USVs, UUVs, and cooperating UAVs. Design motion planning, localization, tracking, safety assurance, COLREGS-compliant behaviors, and heterogeneous multi-agent collaboration. Build high-performance, well-tested software, integrate it onto real platforms, support deployment and demonstrations, analyze mission logs, and contribute to R&D roadmaps. Collaborate across perception, planning, simulation, hardware, and operational test teams while helping customers define requirements and technical approaches.

Lead technical direction for maritime autonomy capabilities across multiple programs. Develop motion planning, localization, tracking, safe maritime behaviors, COLREGS-compliant operations, and heterogeneous multi-agent collaboration for USVs, UUVs, and UAVs. Build and integrate high-performance, rigorously tested software; support deployment, vehicle testing, demonstrations, and mission-log analysis. Mentor engineers, guide architecture and roadmaps, research new algorithms, and collaborate across perception, planning, simulation, hardware, and operational test teams. Travel is typically about 25%.

Develop and deploy autonomy software for unmanned surface, underwater, and aerial vehicles in maritime missions. Responsibilities include motion planning, localization and tracking, safety assurance, COLREGS adherence, multi-agent coordination, distributed optimization, rigorous software testing, platform integration, deployment support, mission-log analysis, and autonomy R&D. The role also involves cross-functional collaboration, customer and demonstration support, roadmap development, and mentoring junior engineers. Travel is typically approximately 25% annually.

Lead the architecture and implementation of Shield AI’s knowledge-graph-centered data platform. Build production APIs, DataOps infrastructure, storage and compute integrations, ingestion paths, SDKs, and reference architectures. Establish data-modeling, schema evolution, lineage, observability, security, reliability, and lifecycle standards. Partner with autonomy, ML, testing, infrastructure, product, and customer teams while evaluating technologies and remaining hands-on with implementation, benchmarking, and debugging across cloud and customer-managed environments.

Designs, deploys, and maintains secure on-premises cloud infrastructure and GenAI services in disconnected environments. Responsibilities include building CI/CD pipelines, automating provisioning and configuration, monitoring performance, troubleshooting incidents, conducting root cause analysis, supporting disaster recovery, and improving system reliability and scalability. The role collaborates with development and cross-functional teams, supports hundreds of tenants and thousands of users, and applies DevOps, containerization, cloud, security, and AI/ML expertise.

Vannevar is seeking a Senior Software Engineer to lead the deployment of AI-enabled software products in government environments, focusing on security and compliance. Responsibilities include roadmap ownership, technical design, mentorship, and documentation.

Translate product user stories into clear, testable engineering requirements for the Hivemind SDK. Define, model, and validate system behavior, maintain requirements traceability, support system modeling with SysML/Cameo, and collaborate with Product, QA, and engineering to ensure requirements are implemented and verified.

Lead integration and validation of the Hivemind autonomy stack across simulation, HIL, and flight platforms. Configure sensors, drivers, communication interfaces, and platform adapters; develop integration tooling and CI/CD; analyze logs/rosbag to triage defects; collaborate with engineering and product teams to ensure interoperability, release readiness, and end-to-end system compliance.

Hands-on role integrating and flight-testing Hivemind autonomy across Group 1-3 aircraft. Responsibilities include bench and flight bring-up, debugging autonomy/flight controllers/radios, building test tools and automation in Python/C++, developing hardware interfaces, running SIL/HIL/VIL and live flight tests, analyzing data, and improving test infrastructure in collaboration with software, hardware, and flight teams.

Integrate and deploy autonomy software onto unmanned aircraft, prepare flight-ready systems, support on-site flight tests, debug hardware/software issues, collect and analyze flight data, collaborate across autonomy, GNC, and test teams, and support certification, compliance, and process improvements.

Design, develop, and field high-performance Ground Control Station and C2 software using C++/Qt/QML and QGroundControl. Lead architecture and technical direction, mentor engineers, define APIs/ICDs, debug integration/latency issues, support field tests, implement post-mission debrief tools, and ensure interoperability with C2 standards.

Own and maintain native C++ build systems for autonomous aircraft. Improve developer velocity by reducing build/test cycle time, integrate CI with HIL and simulation, implement monitoring and alerts, troubleshoot build/test failures, and collaborate with engineers to design and deploy DevEx/DevOps solutions.

Perform and validate finite element and hand-calculation structural analyses for UAV airframes and components. Develop FEMs, run static/modal/fatigue/vibration studies, support test planning and correlation, define loads/materials/margins, and present structural recommendations while collaborating with cross-functional teams to optimize lightweight aerospace structures.

Become an expert in the Hivemind autonomy stack, create and deliver hands-on technical training, develop training materials and documentation, support customer debugging, and collaborate with product and engineering to improve adoption and training practices. Role includes ~30% travel for in-person customer engagements.

Design and build automated test capabilities for V-BAT: define and automate system-level test cases, implement interfaces/drivers for simulation and hardware, prototype and harden test solutions, and support release and flight test activities working with GNC and Embedded teams.

Lead systems engineering for Hivemind-based autonomy products: define and manage requirements, develop system architectures and trade studies, coordinate hardware/software interfaces, support integration/verification/validation and testing, and identify and mitigate technical risks across the system lifecycle.