Top Entry Level Python Jobs in San Diego, CA

Enable advanced semiconductor process nodes by developing and optimizing EDA design flows, methodologies, scripts, automation, and CAD solutions for CPU designs. Analyze floorplanning, power delivery, timing, power, physical design, and PPA. Drive technology enablement from early development through production, integrate external EDA tools, collaborate with vendors and foundries, and lead product implementation with cross-functional teams.

Co-op reliability engineering role supporting autonomous aircraft hardware validation. Responsibilities include environmental and stress testing, failure analysis, root cause investigations, reliability risk analysis, FMEA, design reviews, corrective actions, process improvements, and collaboration with engineering, manufacturing, and suppliers. The role also involves Python-based data analysis, occasional travel, and ownership of a project under senior engineering mentorship.

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, 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.

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, 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.

Develop and maintain C++ and Python simulation adapters, plugins, interfaces, and reusable framework components. Support migration from HMSSimBlocks to HMSF, integrate simulation backends, maintain CIGI and DDS interfaces, troubleshoot autonomy integration issues, and create tests and documentation. Collaborate with senior engineers on code reviews, debugging, design discussions, and integration support across simulation and autonomy teams.

Develop and maintain C++ and Python simulation adapters, plugins, interfaces, and reusable components. Support migration from HMSSimBlocks to HMSF, integrate simulation backends, maintain CIGI and DDS communications, diagnose distributed-system issues, and create tests and documentation. Collaborate with simulation, autonomy, and integration teams on code reviews, debugging, and framework improvements.

Develop and test C++ and Python software, embedded firmware, autonomy features, simulation tools, and testing infrastructure for UAV systems. Work with sensors, perception, planning, mission systems, and real or simulated data. Investigate failures using logs and telemetry, support hardware- and software-in-the-loop integration, collaborate with multidisciplinary engineering teams, document workflows, and participate in code reviews and design discussions.

Develops, validates, documents, and sustains manufacturing processes for optical and optomechanical hardware. Responsibilities include optical assembly and alignment methods, tooling and fixture development, metrology, process controls, yield and defect analysis, root cause correction, production readiness, supplier support, quality compliance, and technician training. The role collaborates with engineering, quality, supply chain, and program teams to improve manufacturability, reliability, cost, and production performance.

Designs, deploys, and sustains secure AWS and Kubernetes cloud infrastructure for mission-critical applications. Responsibilities include managing compute, storage, networking, containers, scaling, monitoring, logging, IAM, system hardening, Infrastructure as Code, CI/CD, and troubleshooting across Linux and distributed environments. The role collaborates with software, platform, network, cybersecurity, and systems engineering teams and provides technical guidance and documentation. U.S. citizenship, Security+ certification, and TS/SCI eligibility are required.

Supports requirements analysis, technical documentation, interface mock-ups, Agile user stories, software testing, and customer collaboration in defense and intelligence systems development. Works with multidisciplinary teams on C4ISR, geospatial intelligence, and mission management applications. May travel for product demonstrations, software installations, and system testing while participating in BAE Systems’ Year One development program.

Tests and validates geospatial software through automated and manual testing, test-plan development, defect troubleshooting, and acceptance-criteria verification. Maintains Esri Enterprise environments and PostgreSQL databases, tests SOCET GXP features, supports development environments, and ensures compliance with government specifications and GIS standards. Collaborates with developers throughout the software lifecycle and develops automation scripts across coordinate systems and projections.

Supports robotics process engineering in a hands-on startup environment. Plans, collects, analyzes, and communicates technical data; applies knowledge of materials, mechanisms, fabrication, heat and mass transfer, optics, CAD, programming, and machine shop tools. Collaborates with teammates and leadership, develops engineering practices, fulfills commitments, and grows technical competency through mentorship and initiative.

Develop and test software controlling complex hardware and automated test equipment for defense and intelligence systems. Responsibilities include coding, debugging, software and hardware integration, regression and requirements testing, and working with AI/ML services. The role involves multidisciplinary collaboration, possible business travel for demonstrations and installations, and participation in a structured first-year engineering development program.

Integrate autonomy software with robotic vehicles, sensors, autopilots, actuators, onboard computing, and communication systems. Perform platform bring-up, hardware-in-the-loop testing, troubleshooting, field testing, sea trials, flight tests, and deployments. Develop integration tools, scripts, documentation, and repeatable procedures while collaborating with autonomy, embedded software, hardware, field operations, and product teams. The role requires hands-on debugging across software, hardware, networking, controls, and vehicle behavior.

Develop and maintain DevOps infrastructure across distributed environments, including Unix/Linux administration, Chef automation, Git/Gerrit systems, PostgreSQL clusters, networking, regional mirrors, and remote sites. Responsibilities include installations, upgrades, configuration changes, monitoring, troubleshooting, documentation, customer support, technology evaluation, development and QA management, training, and on-call support.

Build and support customer integrations connecting Paperless Parts with CRM, ERP, and MES platforms. Lead technical discovery, translate business requirements into scalable solutions, deploy integrations, manage concurrent delivery projects, and develop reusable integration components and tooling. The role requires strong Python, API, web services, SQL, and customer-facing technical execution skills, with preferred experience in manufacturing systems, CI/CD, Docker, Jenkins, and AWS.

Forward Deployed Software Engineers create solutions to customer challenges by leveraging Palantir technology and open-source tools. They handle project design and implementation while iterating based on user feedback.

Develop distributed computing algorithms, performance metrics, and analysis tools for Zoox’s Collision Avoidance System. Analyze petabytes of urban driving data, evaluate system performance, and collaborate with CAS Perception, Planning, Systems Design, Mission Assurance, and QA engineers to define autonomous-driving validation metrics and plans.