python jobs in San Diego

Design, create, and implement production-grade AI/ML systems for Defense and Intelligence clients. You'll architect scalable machine learning solutions handling fast-moving data, deploy models across multiple data modalities using frameworks like TensorFlow and PyTorch, and integrate solutions into mission environments.…See more The role requires 2+ years of ML engineering or data science experience, proficiency with ML frameworks and programming, and hands-on work in deep learning, computer vision, NLP, or signal processing.

The Software Test Engineer will author and execute manual and automated test cases in an agile environment, ensuring product requirements and quality standards are met before code merges. Responsibilities include developing testing tools and techniques, participating in design reviews, documenting bugs and test results, and collaborating with product owners and developers.…See more The role requires 4–8 years of experience, proficiency in scripting languages (Python, JavaScript), familiarity with automated testing tools, and a DoD 8570 security certification within 90 days of hire.

Senior Software Engineer responsible for designing and implementing user-facing web, PC, and mobile applications for TrellisWare's wireless communication products. You will enhance and maintain a suite of networking configuration and situational awareness tools, develop intuitive visualizations for large datasets, and optimize multi-server web requests.…See more The role requires proficiency in at least one modern UI technology stack (ReactJS, Kotlin/React Native, or C# desktop frameworks) plus familiarity with a second stack, strong TCP/IP networking knowledge, and asynchronous programming skills.

Senior Integration Test Engineer responsible for verifying, testing, troubleshooting, and debugging software that controls and monitors Unmanned Surface Vessels (USVs). Will develop and maintain automated test suites using Python and Selenium, design simulation programs, deploy Docker containers on RHEL systems, and perform hands-on integration testing both remotely and on-site.…See more Requires proficiency in Python, Bash scripting, Docker, Selenium, and Red Hat Linux, with experience in Agile development and a track record in software debugging and root cause analysis.

Staff-level machine learning software engineer responsible for designing, implementing, and optimizing ML software for embedded systems including mobile, edge, auto, and IoT products running on ARM, DSP, and GPU processors. Primary responsibilities include developing and optimizing ML kernels and frameworks (TensorFlow, PyTorch) for efficient hardware execution, implementing performance-critical software in C++/Python, and collaborating with hardware teams on joint design and optimization.…See more Will lead complex projects involving integration, testing, and tool development for embedded ML subsystems, coordinate cross-team dependencies, and contribute to design reviews and technical planning.

This role combines quality assurance expertise with geospatial analysis to test and validate GIS software against government specifications. Day-to-day responsibilities include creating and executing automated and manual tests, administering Esri Enterprise and PostgreSQL environments, performing SOCET GXP feature testing, and collaborating with developers to ensure defect-free deployments.…See more The engineer will design test plans, develop automation scripts, troubleshoot bugs, and verify compliance with intelligence community standards and industry best practices.

Lead the design, build, and operation of enterprise-scale Databricks Lakehouse platforms at Qualcomm, driving AI-native development, MLOps practices, and cloud modernization. This hands-on Staff IT Engineer role requires 4–5 years of Databricks experience and 8–12 years total IT background, with responsibility for platform architecture (Delta Lake, Unity Catalog, Workflows), machine learning enablement (MLflow, Mosaic AI), AIOps automation, and technical mentoring of engineers.…See more You will establish engineering standards, optimize platform performance and cost, implement observability and self-healing automation, and drive adoption of generative AI tools and intelligent automation across development teams.

Develop and execute automated testing strategies across the full product lifecycle, from requirements validation through production monitoring. Create automated test frameworks using tools like Cypress, Selenium, Jest, or TestNG; design synthetic data environments; and integrate quality gates and accessibility compliance audits into CI/CD pipelines.…See more Monitor live product performance using observability platforms (Datadog, Elastic Stack, Dynatrace, Splunk, New Relic) and conduct functional, regression, integration, security, and usability testing. Requires a Bachelor's degree in Computer Science or related field, one year of QA automation experience, Agile/Scrum certification, and proficiency in Python, Java, TypeScript, or JavaScript.

Lead the design, implementation, and scaling of CI/CD pipelines and DevOps infrastructure across Qualcomm's organization. Own source control management systems (GitLab, Perforce), build automation (Jenkins, GitLab CI/CD, GitHub Actions), and configuration management frameworks (Ansible, Chef).…See more Partner with firmware and platform teams on server stacks (Zephyr, OpenBMC, EDK2) while mentoring engineers and establishing DevOps best practices at organizational scale.

As a Forward Deployed Engineer IV in Applied AI at Google Cloud, you will lead end-to-end engineering for production conversational AI systems, transforming prototypes into scalable agentic workflows deployed at customer sites. You'll architect multi-agent systems using frameworks like ReAct, optimize RAG implementations, debug agent logic across microservices, and connect AI systems to enterprise infrastructure.…See more The role requires 8+ years of software development (Python or similar), experience with infrastructure-as-code (Terraform), cloud platform deployment (GCP), and hands-on full-stack application development. You'll travel up to 50% and work directly with customers to establish production AI journeys while identifying patterns that feed back into product improvements.

As a Security Engineer II on Deloitte's Cyber Defense & Resilience CTEM team, you'll support clients in identifying, prioritizing, and remediating security exposures across complex infrastructure, middleware, and applications. You'll execute vulnerability and patch management tasks, analyze exposure data and attack paths to guide remediation priorities, and prepare client-facing dashboards and status reports.…See more The role requires 3+ years in IT security or vulnerability/patch management, hands-on experience remediating vulnerabilities across Linux, Windows, and applications, and proficiency with patch management tools (BigFix, MECM, Red Hat Satellite, WSUS, Tenable, Rapid7, Qualys) and scripting/automation languages (PowerShell, Bash, Python, Ansible, Terraform, JSON). You'll also coordinate remediation activities via ServiceNow or similar ITSM platforms and travel up to 50%.

Senior Software Systems Engineer to own end-to-end software delivery for autonomous maritime vehicles, including release engineering, build pipelines, packaging, versioning, and deployment automation. Responsible for Infrastructure-as-Code (Terraform/CloudFormation), build/deployment pipeline maintenance (GitHub Actions, Jenkins), containerization (Docker, Kubernetes), and tooling that enables the engineering organization to ship reliably at scale.…See more Will act as integration point between vehicle software, cloud services, and third-party systems, and support production systems and active vehicle missions. Requires 8+ years in infrastructure, DevOps, or release engineering with strong Linux systems knowledge, cloud infrastructure experience, and proficiency in Python, Go, or Bash.

Design, build, and own backend services that ingest, process, and store real-time and historical vehicle telemetry at fleet scale for autonomous maritime vessels. Architect APIs exposing vehicle and mission data to internal tools and customer integrations, with focus on reliability and low latency.…See more Design data models and storage strategies for high-volume time-series and geospatial data, and improve scalability, observability, and reliability of existing backend systems as fleet size grows. Requires 8+ years backend engineering experience, strong proficiency in Python or Go, deep REST/streaming API design experience, relational database expertise (PostgreSQL preferred), and distributed systems knowledge.

Design and build AI agents and full-stack web applications that automate enterprise workflows, with expertise in agentic AI frameworks, LLM orchestration, and generative AI integration. Architect a multi-agent platform enabling PM and engineering agents to exchange plans and context, while developing backend services in C#/.NET/Python/TypeScript and modern Angular/React frontends that connect to enterprise systems like Jira, Microsoft 365, and SQL/NoSQL databases.…See more Define agentic engineering standards including tool contracts, prompt management, guardrails, and agent evaluation. Requires hands-on experience with LLM application development, RAG, tool calling, prompt engineering, agentic runtimes (LangGraph, AutoGen, n8n), and full-stack enterprise application development on AWS or Azure.

Build production inference systems that turn ML research prototypes into deployed, performant components under strict latency, throughput, memory, and accuracy constraints. Own the full pipeline from model optimization through deployment: profile and tune tensor execution, write Rust/C++/CUDA where necessary, build evaluation machinery tied to product metrics, and maintain reproducible deployment contracts.…See more You'll collaborate with research teams to surface shipping risks early and translate algorithmic work into engineering reality with explicit performance budgets and regression gates.

A senior software integration engineer responsible for debugging complex systems spanning Linux, networking, hardware interfaces, and distributed software components. The role involves building Docker-based deployment workflows, participating in field testing and demonstrations, and collaborating with core teams to integrate payloads and external systems through APIs, SDKs, and communication protocols.…See more Requires 5+ years of software engineering experience with strong fundamentals across the stack, proficiency in modern languages (C++, Python, Rust, Go, Java, TypeScript), and deep Linux and networking knowledge. The position emphasizes production-ready reliability, ability to modify large codebases quickly, and hands-on support for fielded systems.

A junior software engineer role supporting the design, development, and validation of embedded and cloud edge software applications. The engineer will analyze user needs, design and implement small software features, participate in coding, unit testing, debugging, and code reviews.…See more Requires a bachelor's degree in engineering, computer science, or related field, with proficiency in C/C++, Python/Perl scripting, Windows debugging, and computer architecture fundamentals.

Senior Systems Engineer responsible for managing and automating enterprise Linux/Unix systems across VMware on-prem and hybrid environments in a regulated banking setting. Will develop and maintain Puppet automation modules for server provisioning, patching, and application deployment; administer vSphere, ESXi, and vCenter infrastructure; and ensure security hardening, compliance (SOX, FFIEC), and high availability for mission-critical applications.…See more Acts as L2/L3 resource for incident management, root-cause analysis, and operational stability, with scripting in Bash and Python to reduce manual recovery efforts.

This QA automation role requires developing sophisticated automated validation systems and synthetic data environments to verify product feasibility early in the development lifecycle. The tester will design quality gates, accessibility compliance audits, and observability frameworks integrated into delivery pipelines, while supporting the entire automation strategy from requirements through production.…See more The position demands expertise across multiple testing frameworks (Cypress, Selenium, Jest, TestNG), scripting languages (Python, Java, TypeScript, JavaScript), API testing tools (Postman, Insomnia, Apidog, SoapUI), and observability platforms (Datadog, Elastic Stack, Dynatrace, Splunk, New Relic). A bachelor's degree, CSM certification, and one year of QA automation experience are required.

Design and build AI agents that automate workflows within a multi-agent platform, enabling PM and engineering agents to exchange plans and context over shared program data. Develop full-stack web applications with generative AI functionality—conversational interfaces, natural-language querying, automated summarization, and in-context recommendations—using C#, .NET, Python, TypeScript, Angular/React, and integrations with Jira, Microsoft 365, Confluence, and SQL/NoSQL stores.…See more Define agentic engineering standards including tool contracts, MCP servers, prompt management, memory, guardrails, human-in-the-loop approval, and evaluation harnesses. Requires hands-on experience with LLM application development, agentic runtimes like LangGraph or AutoGen, full-stack enterprise development, and cloud deployment on AWS or Azure.

BAE Systems seeks entry-level software engineers (Bachelor's or Master's degree expected by June 2027, <6 months experience) to develop C4ISR and geospatial intelligence applications for defense customers. You will apply Java, OOP, and software design principles in a collaborative, agile environment.…See more The role offers mentorship, onboarding, and exposure to full-stack development, cloud platforms, DevOps, and modern software architecture as part of a structured Year One program.

As a Security Engineering Intern, you will help protect network boundaries, harden computer systems and network devices against attacks, and provide security services for sensitive data. You will actively monitor systems for attacks and intrusions, focusing on offensive testing to identify and fix security vulnerabilities.…See more You will build tools, scripts, and automation to support security goals at scale. Candidates should have coding experience in Python, Go, C++, or JavaScript and background in network protocols, secure network design, web application security, authentication, cryptography, or intrusion detection.

This role manages continuous software sustainment and operational support for production systems in secure, multi-domain defense environments. You will perform tier 2/3 technical support, proactive vulnerability management, and technical debt remediation while executing zero-downtime deployments using Agile methodologies (Scrum, Kanban, SAFe).…See more You must maintain DISA STIG compliance, implement Risk Management Framework controls, and support Authority to Operate (ATO) activities. The position requires hands-on expertise with Linux and Windows Server administration, shell scripting (Bash/Python/Ansible), virtualization, SIEM/security monitoring, and DoD 8140 cyber workforce certifications.

Entry-level software engineer role focused on automated test and software control of complex hardware systems for C4ISR solutions. You will develop code interfacing with hardware using C/C++ and Java, applying object-oriented design principles and electronics knowledge.…See more The position includes a structured Year One mentorship program and requires a Bachelor's in Computer Science, Computer Engineering, or Electrical Engineering (or equivalent hardware experience) by June 2027, with the ability to obtain a U.S. security clearance.

As a Machine Learning Engineer at Qualcomm, you will develop and optimize machine learning frameworks, tools, and algorithms for deployment across mobile, edge, automotive, and IoT products. You will collaborate with cross-functional teams to design hardware-software co-optimized solutions, build efficient inference and training systems, and create ML kernels and compiler tools.…See more The role requires proficiency in ML frameworks (TensorFlow, PyTorch, Keras), embedded systems optimization, and programming languages like Python or C++, with experience in problem domains such as NLP or multimedia.