python jobs in San Diego

Senior Forward Deployment Engineer who embeds within customer 5G/6G/NTN development programs as a software developer, systems engineer, and deployment lead. Owns complex deployment issues across the protocol stack (Layer 1–3), writes and modifies production software and firmware, develops Python APIs, builds automation workflows, and serves as the technical bridge between Keysight and customer engineering teams.…See more Requires 6–7 years of software/systems engineering experience, deep expertise in at least one wireless protocol domain (PHY/L1, MAC/L2, or RRC/NAS/L3), proficiency in C/C++ and Python, Linux, embedded/real-time software, and hands-on debugging of protocol interactions through logs, traces, and packet captures.

Senior Software Engineer role owning the design and delivery of a next-generation reliability platform for Affirm's production systems. You'll blend distributed systems engineering with AI-assisted development to help teams understand, debug, and improve service health.…See more Responsibilities include delivering quarterly team goals, leading engineers through ambiguous problems, collaborating with product and design, setting code review and design standards, and developing team talent. Required experience includes 4+ years as a software engineer, backend systems design at scale (Python, Kotlin, AWS, MySQL, Kubernetes), practical LLM/AI framework use, and high-quality code authorship.

Deloitte seeks a Cyber Security Engineer/Senior Consultant with 5+ years of hands-on Palo Alto Networks experience to design, deploy, and manage next-generation firewalls, Prisma Access, and Panorama in on-premises and cloud environments (AWS, Azure, GCP). The role requires expertise in threat prevention, SSL/TLS decryption policies, security policy management, and integration of Palo Alto platforms with SIEM/SOAR tools.…See more Candidates should have a PCNSE certification and be prepared to support automation through Terraform, Ansible, or Python while developing client solution designs and leading technical workstreams.

Lead a technical engineering team at the intersection of AI, cybersecurity, and cloud platforms. Design and implement secure AI architectures, cloud security solutions, and DevSecOps practices while mentoring engineers and building reusable reference architectures and playbooks.…See more Require 6+ years of hands-on experience in software engineering, AI engineering, cybersecurity, or cloud security, with demonstrated proficiency in at least one major AI platform (Claude, OpenAI, Gemini, Bedrock, or Vertex AI) and cloud application development in Python, TypeScript, JavaScript, Go, or Java.

Senior Consultant leading AI and cloud security architecture design, implementation, and operational handoff for enterprise clients. Responsibilities include client discovery, technical workshops, architecture reviews, and creating reusable reference architectures and security standards.…See more Requires 3+ years of hands-on software/AI/cloud security experience, proficiency in at least one major LLM platform (Claude, OpenAI, Gemini, Bedrock, Vertex AI), and expertise in secure application development, DevSecOps, cloud security architecture, or AI security controls using Python, TypeScript, JavaScript, Go, or Java.

Lead Data Engineer to design, build, and deliver Databricks-based data and analytics solutions for Deloitte's consulting clients. You will manage delivery teams through requirements gathering, solution design, development, testing, and deployment while translating business and technical requirements into scalable data pipelines and platform capabilities.…See more The role requires 6+ years of data engineering or cloud data platform experience, 3+ years with Databricks and Apache Spark, 3+ years with Python and SQL, and 2+ years leading project teams. You will advise client stakeholders on architecture, implementation, and operating models while overseeing solution quality and project delivery.

Senior Systems Endpoint Engineer leading endpoint management strategy and implementation across Windows, macOS, iOS, and Android platforms using Infrastructure as Code. Responsible for designing and operating Intuit's endpoint environments (WorkSpace One, Secure Enterprise Browser, AWS infrastructure), leveraging AI-driven insights for optimization and self-healing initiatives.…See more Will provide technical leadership, mentor colleagues, and drive operational excellence through DevSecOps principles, automation, and incident response. Requires 5+ years of unified endpoint management experience with virtualization and cloud platform expertise.

Design, develop, and maintain infrastructure-as-code and CI/CD pipelines using Terraform, Ansible, and GitLab to automate provisioning and deployments across environments. Perform systems analysis to document functions and define integration interfaces; manage Linux-based and Windows infrastructure including Active Directory, VMware, and container orchestration (Docker, Kubernetes, OpenShift, AWS EKS/ECS).…See more Maintain Jira tracking and participate in SAFe Agile ceremonies. Requires 10 years of software development experience, DevSecOps expertise, DoD 8570 IAT Level II certification, and ability to travel 25% including possible U.S. Navy ship deployments.

The NETSEC Engineer designs, implements, and maintains security monitoring, vulnerability scanning, endpoint protection, and host hardening across Linux and Windows DoD/Navy environments. Responsibilities include engineering SIEM/SOAR solutions (Splunk, Sentinel), developing security automation scripts (Python, Bash, PowerShell), configuring ACAS vulnerability scanning, tuning Trellix ESS policies, and applying system hardening standards (STIGs).…See more The role requires troubleshooting complex OS and security tool integration issues, analyzing vulnerability findings, and supporting cyber defense teams to improve detection fidelity and reduce false positives. Candidates must hold an active Secret clearance, Security+ certification, and have 3–7 years of hands-on experience in cybersecurity engineering within DoD or Navy environments.

Lead system-level software architecture for mobile platforms at Qualcomm, partnering across hardware, kernel, Android, and subsystem teams to define and execute complex cross-organizational features. Drive OEM engagement, represent Qualcomm's architecture strategy in external partnerships, and maintain accountability for schedule, quality, and commercialization.…See more Require 8+ years of software engineering with deep expertise in Android OS, Linux kernel, and system software stacks, plus proven leadership of senior technical talent on large-scale platform projects.

The ASI Integration Engineer will analyze and develop detailed integration solutions for the CANES naval networking program, acting as a liaison between network systems engineering teams and application providers. Responsibilities include elaborating integration requirements, designing network documentation (HACSIM), supporting lab testing, participating in technical reviews, and maintaining tactical network system mockups.…See more The role emphasizes automating integration processes using PowerShell, Ansible, Git/BitBucket, and Terraform, with a focus on identifying improvements and simplifying procedures. The position requires 10 years of professional experience, a DoD Secret Clearance, and expertise in containerization, infrastructure-as-code, and integration with tactical data feeds and enterprise systems.

Engineer II will develop and maintain C++ and Python software for simulation adapters, plugins, and interfaces across multiple simulation frameworks (AFSIM, NGTS, Aechelon, HMSSimBlocks, HMSF). The role involves porting simulation features, integrating autonomy systems, implementing CIGI-based plugins, and supporting DDS communications and distributed systems.…See more Responsibilities include writing unit and integration tests, debugging complex simulation-autonomy interactions, and collaborating with cross-functional teams on framework improvements and reusable component patterns.

Lead a team of AI/ML engineers building autonomous medical coding solutions that process millions of clinical charts daily. Translate emerging advances in machine learning and LLMs into production-ready systems, define engineering strategy for ML/LLM-powered products at scale, and ensure systems meet stringent requirements for accuracy, reliability, privacy, security, and explainability.…See more Partner across data science, clinical, compliance, and software engineering teams to architect scalable inference pipelines, establish evaluation frameworks, and integrate AI capabilities into SaaS products. Requires 6+ years of AI/ML engineering experience, 2+ years leading technical teams, and hands-on expertise in production ML pipelines, LLMs, RAG, and MLOps platforms.

This is a junior-level, onsite rotational program at Axos Bank's Consumer IT AI Team for someone with a CS or related degree and Python/JavaScript experience. You'll work on production AI agents from day one under senior mentorship, learning prompt engineering, building integration code connecting AI systems to platforms like GitHub and Azure DevOps, constructing Model Context Protocol (MCP) servers, and maintaining AI plugins and documentation.…See more You'll write unit tests, participate in code reviews and CI/CD workflows, and contribute to internal documentation while building SDLC fluency through sprint ceremonies.

This role focuses on developing and validating low-level DDR subsystem firmware and APIs across the entire product lifecycle, from design validation through post-silicon bring-up. Engineers will write C firmware for DDR initialization, training, power management, and performance features, then validate it across simulation, emulation, FPGA, and silicon environments.…See more The position requires strong embedded systems fundamentals, digital design knowledge, and hands-on hardware/software debugging to collect and analyze stability, power, performance, and functional data that inform product decisions. Cross-functional collaboration with design, DV, software, and architecture teams is central to optimizing DDR subsystem capabilities.

The AI Scientific Software Engineer will develop MARIE, an AI-powered scientific companion within BIOVIA's Pipeline Pilot platform, focusing on prompt engineering, agentic AI frameworks, and AI safety mechanisms. Responsibilities include designing and iterating on prompts for improved reasoning and factuality, building multi-step agentic workflows with tool calling and memory management, and implementing guardrails and validation systems.…See more The role requires a PhD in Life Sciences or Computer Science with 3+ years of software development experience, strong LLM fundamentals knowledge, hands-on experience with RAG systems and frameworks like LangChain/LangGraph, and familiarity with pharmaceutical and biotech workflows.

Engineer I will develop, test, and maintain C++ and Python software for simulation adapters, plugins, and interfaces across frameworks like AFSIM, NGTS, Aechelon, and HMSSimBlocks. Responsibilities include porting simulation features, supporting integrations with image generators via CIGI-based plugins, diagnosing autonomy and simulation issues, and writing unit and integration tests.…See more The role requires a BS in Computer Science or related discipline with foundational C++ and Python experience, Linux development familiarity, and understanding of networking, APIs, and software engineering practices.

Qualcomm's GPU Research Team seeks GPU architects to design next-generation GPU hardware architectures for AI, ML, and GPGPU computing across mobile, Windows on Snapdragon, and data center platforms. The role involves collaborating with software and hardware teams to develop architectural solutions, optimize for workloads like large language models and vision models, and contribute to open-source GPU/ML projects.…See more Required skills include strong GPU architecture knowledge, proficiency with APIs (OpenCL, CUDA, Vulkan, Direct3D 12), and C/C++ programming; hands-on CUDA kernel optimization and familiarity with frameworks like llama.cpp or vLLM are highly valued.

As a Sr Consultant in GCP Cloud Analytics, you will design and implement end-to-end cloud analytics architectures on Google Cloud Platform, supporting clients through full lifecycle data solutions including ingestion, transformation, governance, and analytics enablement. You'll develop optimized cloud-based data solutions using structured and unstructured sources, lead portions of complex technology engagements, and coordinate delivery across geographically distributed teams.…See more The role requires 5+ years of technology consulting or industry experience with GCP, 1+ full lifecycle GCP implementation, 2+ years of SQL and Python, and the ability to lead workstreams with multi-location resources.

Full-stack developer role supporting financial services clients in modernizing systems through distributed software applications. Responsibilities include analyzing business requirements, designing, developing, integrating, testing, and deploying cloud-native and microservices-based solutions across the entire project lifecycle using modern back-end (Java, Python, Node.js) and front-end (React, Angular) technologies.…See more Must demonstrate hands-on capabilities in REST APIs, CI/CD pipelines, cloud platforms (AWS, Azure), containerization, and agile/TDD methodologies, with willingness to travel up to 50%.

Senior consultant leading data management strategy execution and architecture design for finance applications, with focus on machine learning and generative AI integration. Responsible for defining data requirements, designing extensible common information models, and developing the FDL Blueprint solution offering.…See more Will mentor junior consultants, collaborate across service lines, and establish data governance frameworks while staying current with emerging technologies in Azure, ML, and Gen AI.

Lead a team of engineers building AI-driven distributed systems solutions for enterprise clients as a Manager in Application Design and Development. You will translate business requirements into technical architecture, guide teams through full-stack development (frontend, backend, APIs, data visualization), and apply machine learning and generative AI to real-world problems.…See more The role spans frontend frameworks (Angular, TypeScript, JavaScript), backend services (Java, Python, FastAPI, microservices), databases (PostgreSQL), cloud platforms (Azure), and modern DevOps practices (CI/CD, TDD). You'll work in agile delivery, manage technical talent, and teach clients how to build and scale commercial software.

Security Operations Center (SOC) Analyst II responsible for monitoring, triaging, investigating, and responding to security events from SIEM systems, threat intelligence platforms, endpoints, and networks. The role involves configuring SIEM and SOAR tools, enforcing information security policies, identifying IT security risks, escalating incidents to responders, and staying current with evolving threat detection methods.…See more Requires 2+ years of SOC analyst experience and strong collaboration in a fast-paced team environment.

Staff Engineer role focused on architecting and developing full-stack applications with AI-native development at its core. Responsibilities include designing RESTful APIs, managing databases, and critically—directing AI coding agents (Claude, Cursor, Copilot) across the delivery lifecycle, including prompt engineering, agent workflow design, and tracing/debugging agent outputs.…See more Requires 8+ years with complex codebases, full-stack expertise (Java/Go/Python, React, REST APIs), and demonstrated proficiency using AI coding tools as a primary delivery vehicle, not just a helper.

Design and develop sample AI applications for Windows on Snapdragon, covering diverse AI models and use cases with performance/accuracy diagnostics. Contribute features to the Qualcomm AI toolkit, evaluate agentic AI platforms across devices, and develop hybrid local/cloud AI experiences.…See more Interface with third-party developers and cross-functional teams to create documentation and specifications that enable external application development.