python jobs in San Diego

Design, develop, and validate embedded and cloud edge software for cutting-edge Qualcomm products. Leverage C, C++, Java, Python, or similar languages to build sophisticated software subsystems for complex, large-scale systems, collaborating with hardware, systems, and test engineers.…See more Lead code reviews, regression testing, and technical documentation while working independently with minimal supervision and providing guidance to junior team members.

Design and develop embedded and cloud edge software applications focused on AI/GenAI, multimedia, and computer vision SDKs and frameworks for IoT products including drones, cameras, and AI boxes. Collaborate with systems, hardware, and architecture teams to build high-performance, real-time embedded software solutions.…See more Lead GenAI LLM/VLM inference workflows, multi-stream AI pipelines, and multimedia frameworks across Android, Linux, and embedded systems. Requires 2+ years of software engineering experience with C/C++, Python, or Java, plus preferred expertise in PyTorch, TensorFlow, ONNX Runtime, LangChain, LlamaIndex, Android architecture, Linux system programming, and graphics/GPU pipelines.

Design and verify Digital Signal Processor (DSP) architectures for Qualcomm's mobile, machine learning, automotive, and IoT products. Develop small to complex hardware blocks independently, applying high-performance microprocessor design concepts including multi-core, multi-threaded, and low-power optimization.…See more Conduct design verification, performance analysis, and architecture tradeoff evaluation using simulators, emulators, and synthesis tools. Collaborate with cross-functional teams to ensure designs meet specifications for performance, power, and timing while staying current with industry trends in machine learning and modem technologies.

Senior architect and developer responsible for designing, developing, and maintaining enterprise Oracle CPQ solutions, including BML scripts, configuration, commerce rules, and document logic. Will develop and support Java/Java EE applications, middleware components, REST/SOAP APIs, custom web services, and enterprise integrations.…See more Requires 8+ years of hands-on Oracle CPQ development, 8+ years of Java application development (Spring, Tomcat, JDBC, Maven), 8+ years of web development (HTML, JavaScript, CSS, JSON, AJAX), and 8+ years of database experience (Oracle, SQL, PL/SQL, data modeling, ETL). Will perform platform upgrades, security patching, production support, root-cause analysis, and contribute across the full SDLC.

BAE Systems seeks a Platform DevSecOps Engineer to lead infrastructure teams designing, implementing, and maintaining on-premises systems with focus on security, scalability, and reliability. The role centers on developing CI/CD pipelines, automating infrastructure provisioning using tools like Ansible, Puppet, or Chef, and implementing security best practices across cloud and air-gapped environments.…See more The engineer will troubleshoot production incidents, monitor system performance, and stay current with DevSecOps practices. Requires proven DevSecOps experience, ability to obtain TS/SCI clearance, hands-on Kubernetes/Docker containerization, scripting in Python/Bash/PowerShell, and Linux/Unix administration.

Bioinformatics QA role focused on designing and executing comprehensive testing, validation, and automation strategies for genomics pipelines and laboratory data platforms. Responsibilities include developing automated test suites in Python, validating NGS workflows (FASTQ, BAM, VCF), performing regression and data-validation testing, and collaborating with wet lab and dry lab teams to ensure scientific and technical correctness.…See more The role requires strong Python scripting, CI/CD pipeline experience, cloud platform familiarity (AWS/GCP/Azure), and working knowledge of genomics science fundamentals including sequencing concepts and LIMS integration.

Whova is hiring full-stack software engineers to build scalable front-end and backend services for an event-management platform serving millions of users globally. You'll work on either mobile/web platforms or backend services, paired with a senior engineer for structured onboarding.…See more The role requires solid computer-systems fundamentals, Python proficiency (or willingness to learn it), front-end technology exposure (JavaScript, HTML, CSS), and strong data-structures and algorithms knowledge.

Lead a team of embedded software and cryptographic engineers developing secure, low-power aerospace avionics and payload processing systems. Establish development standards and processes, guide secure software architecture for multi-core and FPGA-based platforms, manage embedded Linux and RTOS product development cycles, and mentor technical staff while collaborating across systems, hardware, FPGA, and test engineering disciplines.See more

Design and develop software applications orchestrating complex automated laboratory workflows, closed-loop learning systems, and AI-integrated autonomous discovery ecosystems for biotherapeutics research. Build data pipelines, visualization tools, and machine learning models for visual inspection, predictive maintenance, and process optimization.…See more Create digital lab infrastructure including IoT integrations, digital lab twins, telemetry monitoring, and integrations across automation schedulers, LIMS, and data platforms. Requires Ph.D. in Computer Science/Software Engineering/Bioengineering with 3+ years industry experience (or M.S. with 10+ years, or B.S. with 13+ years), preferably in pharmaceutical or automation sectors.

Build and integrate agentic AI systems with physical laboratory automation platforms (Hamilton, Tecan, Opentrons) and LIMS infrastructure to autonomously design, run, and refine chemistry and biology experiments. Design multi-agent orchestration architectures with state management, error recovery, and tool integration; prototype agent planning strategies and memory systems; deploy containerized services on Kubernetes with GitOps and CI/CD.…See more Work hands-on with chemists, biologists, and automation engineers to transition prototypes into production lab operations that measurably accelerate the Design-Make-Test-Analyze cycle.

Qualcomm seeks an embedded software engineer for the Core Platform Kernel Services team to develop and maintain drivers and kernel services across multiple operating systems (QuRT OS, Windows, Linux, QNX, FreeRTOS, Zephyr) that enable IPC and system-level debug on Qualcomm SOCs. The role involves designing protocols and algorithms for critical SOC functions, debugging across hardware/OS/compiler layers, and contributing to open-source solutions.…See more The candidate will own and define roadmaps for significant IPC stack areas while working with OEMs, ODMs, and OS providers on evolving use cases.

Lead Software Engineer responsible for designing, implementing, and testing advanced real-time data communications and networking software using open systems principles. You will own significant features or components, lead technical discussions, mentor junior engineers, and deliver high-quality solutions in a research-focused environment.…See more The role requires 7+ years of software engineering experience, proficiency in Python, C, C++, or similar languages, strong networking fundamentals (OSI model), and hands-on Linux development with open-source toolchains. You will develop operational prototypes, analyze and optimize existing designs, and create production-ready customer-facing systems.

Own and evolve the software translation layer between high-level workflow logic and low-level laboratory instrument control, integrating liquid handlers, plate readers, robotic workstations, and analytical instruments. Deploy and maintain containerized services using Docker, Kubernetes, GitOps, and CI/CD practices, building scalable Python applications and data pipelines that connect experimental readouts with LIMS and downstream analysis tools.…See more Collaborate with the team to prototype AI-driven decision-making and autonomous orchestration in lab workflows, evaluating LLM tooling and agent frameworks for practical applicability. Serve as a technical authority and mentor, influencing the broader technical roadmap for autonomous discovery systems and helping grow the automation engineering team's capability.

Qualcomm AI Research seeks a Senior AI Research Quantization Engineer to develop algorithms for efficient generative AI, LLMs, and multimodal models optimized for on-device deployment. The role focuses on advanced quantization techniques, model compression, inference optimization (batching, KV caching, speculative decoding), and system prototyping using Python and PyTorch.…See more You will collaborate across hardware, software, and systems teams to enable state-of-the-art models to run on power- and memory-constrained devices including smartphones, autonomous vehicles, robotics, and IoT platforms. A Bachelor's degree plus 2+ years of related engineering experience (or Master's with 1+ year, or PhD) is required.

Lead the design and deployment of AI-powered marketing automation workflows, predictive analytics frameworks, and performance dashboards across Intuit's marketing organization. Build production-grade automation infrastructure on cloud platforms (GCP/AWS/Azure) that integrates AI tools into the marketing tech stack, operationalizes customer segmentation models, and scales intelligent automation globally.…See more Develop dashboards, attribution models, and automated reporting pipelines that quantify adoption, cost savings, and performance lift. Partner cross-functionally with product, engineering, data science, and marketing teams to architect, validate, and transition high-impact AI pilots into enterprise capabilities.

Staff Engineer role driving Generative AI transformation across embedded software and engineering infrastructure at Qualcomm. Responsible for executing GenAI workstreams—converting engineering use cases into production-ready AI-enabled workflows for code generation, review, debugging, test automation, and documentation.…See more Will build reusable agents, prompts, MCP integrations, and evaluation flows; partner with embedded, platform, and software teams to onboard and increase adoption of secure, measurable GenAI solutions. Requires 4+ years software engineering experience, 3+ years hands-on GenAI/LLM application development, and strong proficiency in Python, C, C++, or Go with embedded systems familiarity.

SAIC seeks an experienced Sr Systems Administrator to manage Windows and Linux servers, Azure cloud services, M365, and on-premises infrastructure for a public sector client. The role requires hands-on administration of IaaS/PaaS services, Active Directory, Exchange, VMware, backup/recovery, and security—with 24/7 on-call rotation support.…See more The ideal candidate will have 5+ years of server administration experience, strong troubleshooting skills, and certifications in Azure or Windows Server administration.

This Cybersecurity Manager role owns vulnerability and exposure management, leads penetration testing, threat hunting, and threat intelligence programs. The position integrates AI and machine learning into security operations to enhance threat detection and anomaly identification, manages security tools and incident response, and ensures the security of AI/ML systems across the enterprise.…See more The candidate will develop automation scripts and SOAR workflows, conduct forensic investigations, and drive continuous improvement in the security posture. Required qualifications include 5+ years of cybersecurity experience, a relevant bachelor's degree, and an industry-recognized certification (Security+, SSCP, CCNP Security, CISSP, or equivalent).

A software security engineer will perform vulnerability research against software stacks, design and implement security tools and embedded software solutions, conduct code reviews and regression testing, and write technical documentation on vulnerabilities and mitigations. The role requires 2+ years of software engineering experience with languages like C, C++, Java, or Python, plus strong knowledge of Linux fundamentals, x86/ARM architectures, and reverse-engineering tools.…See more Candidates should have experience with debugging tools (gdb, strace, objdump), IDA Pro or Ghidra, Android platform tools, and familiarity with LLMs for augmenting vulnerability discovery.

Lead a forward-deployed engineering pod (2–5 engineers) architecting and delivering LLM-enabled applications, copilots, and agentic workflows using enterprise AI platforms, particularly Microsoft Azure AI Foundry. Own end-to-end GenAI solution design—from RAG pipeline governance and prompt engineering to production deployment and quality evaluation—while mentoring junior engineers, enforcing delivery standards, and translating business problems into scalable AI systems.…See more Require 7+ years of software/data engineering experience, 1+ years of hands-on GenAI/LLM deployment in production, and proven ability to lead technical workstreams in ambiguous, fast-paced client environments.

Lead Qualcomm's GenAI transformation for embedded and software engineering, building reusable AI agents, agentic workflows, and developer productivity tools that scale across teams. Partner with platform and engineering teams to establish secure AI practices, governance models, and metrics while serving as a technical thought leader who shapes the organization's transition to AI-native engineering workflows.…See more Requires Principal-level technical leadership with deep expertise in generative AI, LLM-based systems, and hands-on experience deploying GenAI solutions in complex engineering environments. Collaborate on code generation, code review, test automation, and release readiness use cases while driving measurable productivity and quality improvements.

Develop software for the Qualcomm AI Stack SDKs (QAIRT and Genie) to enable execution of generative AI models and large language models on Snapdragon platforms. You will validate, optimize, and debug machine learning inference solutions, collaborating with cross-functional teams on feature development, performance analysis, and system reliability.…See more The role requires expertise in machine learning frameworks, embedded systems optimization, programming languages like Python or C++, and low-level OS/hardware interactions.

Senior GPU Software Engineer at Qualcomm designing, implementing, and optimizing GPU hardware, drivers, features, and tools for gaming, XR, and AI applications. Responsibilities include architecting GPU software solutions, writing performance-critical code in C++, C, Python, and Perl, maintaining comprehensive pre- and post-silicon tests across simulation and emulation environments, and collaborating with cross-functional teams and external stakeholders.…See more Requires 2+ years of software engineering experience (or equivalent with Master's/PhD) and 1+ year of graphics programming experience in C++ or C.

The Senior AI Data Engineer will architect and build Cortica's data ecosystem, owning end-to-end projects from requirements through production deployment. Responsibilities include designing scalable data pipelines, developing data models for clinical and financial reporting, and building internal tools and dashboards.…See more The role requires 5+ years of production data pipeline experience, 2+ years with AI-first development workflows, advanced Python and SQL proficiency, 4+ years with AWS/Azure big data services, and 2+ years with orchestration frameworks.

Qualcomm seeks an embedded software engineer to design and develop core software frameworks across the Snapdragon processor stack, with focus on AI/ML acceleration, inter-processor communication, memory management, and DSP optimization. You will work on low-level system software powering machine learning inference, computer vision, multimedia, automotive, and IoT applications.…See more The role requires strong C/C++ skills, deep understanding of operating systems, RTOS, multicore architectures, and performance optimization techniques across Linux, Android, and Windows platforms.