python jobs in San Diego

Sr. Staff Software Engineer role designing and developing Multimedia, AI, and Gen AI SDKs/framework components for IoT products including drones, cameras, and media devices.…See more Requires 6+ years of software engineering experience with 3+ years in C, C++, Java, or Python, with strong preference for deep embedded systems expertise, real-time solutions, and AI/ML inference frameworks. Responsibilities include leading architecture and development of GStreamer-based SDKs, driving feature design across diverse product categories, and providing technical leadership on code quality and cross-functional collaboration.

Senior ML engineer role focused on architecting, designing, and deploying on-device AI prototype software at the edge. Requires strong Python and C/C++ skills, deep learning expertise (PyTorch), and embedded software development experience.…See more The role involves model fine-tuning, quantization, hardware acceleration, and inference optimization for deployment on smartphones, autonomous vehicles, IoT, and robotics platforms. Must have 3+ years relevant experience and a strong theoretical ML background combined with modern software engineering practices.

Principal Software Engineer role focused on designing highly complex enterprise-level web applications with deep expertise in microservices, serverless architectures, and cloud platforms. The engineer will serve as an architectural subject matter expert, providing guidance on system design, performance, scalability, and security across multiple teams at CoStar.…See more Requires 10+ years of hands-on experience with expert-level proficiency in C#, Java, Python, or JavaScript/TypeScript, plus significant hands-on experience designing and implementing AWS solutions. Responsibilities include creating architectural documentation, mentoring technical staff, staying current with emerging technologies, and advocating for security and observability best practices.

Senior Staff Engineer responsible for designing and building an MLOps platform that supports distributed AI training, reinforcement learning, and foundation model development at scale. You will architect Kubernetes-native infrastructure for GPU workloads, design self-service AI development workflows, manage the data and model lifecycle, and lead platform distribution across cloud, on-premises, and air-gapped environments.…See more The role requires deep expertise in modern AI frameworks (PyTorch, Hugging Face Transformers), distributed systems, GPU scheduling, and cloud-native infrastructure, with a focus on enabling researchers and engineers to move from experimentation to production rapidly.

Lead the design and engineering of enterprise-ready AI agents with retrieval, orchestration, policy-based routing, and lifecycle observability across multiple AI providers. Develop cloud-native abstraction layers, containerized microservices, and serverless architectures to deliver scalable agentic systems.…See more Tailor domain-specific workflows for finance, healthcare, and retail verticals through intelligent automation. Conduct design workshops, POCs, and code sessions with clients to shape data-driven agent workflows while defining metrics, evaluation harnesses, and best practices for agent accuracy, latency, safety, and cost-effectiveness.

As a Senior Engineering Management Specialist, you will lead the design, configuration, and implementation of Oracle Identity solutions including identity governance, provisioning, access management, and authentication across enterprise environments. You'll support client programs to improve joiner-mover-leaver processes, access certification, role management, and privileged access controls, collaborating with business, security, and technology stakeholders.…See more You'll integrate Oracle Identity platforms with enterprise applications, directories, and security tools using protocols like SAML, OAuth 2.0, OpenID Connect, LDAP, and Active Directory. You must have 6+ years in identity and access management and 4+ years implementing Oracle Identity technologies, with a Bachelor's degree in Computer Science, Information Systems, Cybersecurity, Engineering, or Mathematics.

Design, develop, and optimize CPU software architecture and firmware for Qualcomm's custom ARM-based SoCs used in mobile, automotive, cloud, and server products. Participate in hardware-software co-design, system performance optimization, and ARMv9 architecture feature enablement.…See more Conduct code reviews, debugging, and integration efforts while collaborating with hardware design teams to define software architecture and ensure quality standards.

Staff-level engineer responsible for designing and executing subsystem integration testing (SSIT) strategy for Qualcomm's Delegates ML inference framework. Develops and maintains Python/PyTest-based automated test suites integrated into CI pipelines, triages failures across the ML framework, QNN runtime, and HTP hardware stack, and owns the technical handoff criteria and traceability to downstream QA/SIT teams.…See more Leverages AI-assisted tooling (Claude Code, GitHub Copilot) to accelerate test generation and failure analysis. Mentors junior engineers and sets team standards for test coverage, debugging discipline, and documentation.

As a Staff Software Engineer on Qualcomm's Camera Software team, you will design, develop, and optimize camera software for smartphones, AR/VR, automotive, and IoT platforms. Responsibilities include architecting camera Image Signal Processor (ISP) modules, implementing imaging algorithms, tuning image quality, and collaborating with cross-functional teams and OEMs.…See more You will work on system architecture, device drivers, HAL layers, performance optimization, and AI/ML-based imaging features, with opportunities to mentor junior engineers and influence technical direction.

Lead end-to-end AI platform architecture and design for generative AI solutions, including LLMs, RAG systems, and agentic AI. Build MLOps/LLMOps pipelines with automated CI/CD, model serving infrastructure, and vector database integration on enterprise cloud platforms.…See more Establish best practices, mentor engineering teams, and drive seamless AI application integration into production systems while optimizing for scalability, security, and performance.

Lead the design, governance, and technical implementation of an enterprise API and AI gateway platform serving internal and external consumers. Define solution standards, security controls, compliance protocols aligned to financial services regulations, and LLM integration patterns across Apigee X, MCP servers, and multiple AI providers.…See more Manage a team through API modernization and AI gateway buildout while actively contributing hands-on engineering on proxies, policies, and MCP integrations when needed.

The AI Enablement Specialist will contribute to hands-on development of AI-powered tools and applications while maintaining platforms and infrastructure that support AI deployment. The role bridges technical and business functions, coordinating new AI initiatives from intake through delivery, managing governance and compliance, and providing ongoing support and monitoring.…See more You'll work with business leaders and technical teams to scale AI capabilities across Consumer Banking, requiring proficiency in at least one programming or scripting language and ability to move between technical problem-solving and stakeholder communication.

Staff Machine Learning Engineer role focused on designing and maintaining Qualcomm AI Hub's end-to-end ML compilation pipeline, from PyTorch and ONNX model ingestion through graph optimization to deployable artifacts on Snapdragon SoCs. Responsibilities span compiler infrastructure (graph transformation, op validation, backend dispatch across CPU/GPU/NPU), model catalog automation and CI/CD, and developer tooling for profiling and debugging.…See more Requires 4+ years of software/systems engineering experience (or 3+ with a master's, or 2+ with a PhD), with preferred expertise in ML compiler concepts, ONNX/PyTorch export workflows, and on-device deployment frameworks.

Software engineer contributing to design and development of advanced RF systems within multi-disciplinary teams. Responsibilities include designing and implementing object-oriented applications in Python/MATLAB, developing software to configure and control RF hardware, integrating low-level software with GUIs, creating Hardware-in-the-loop (HITL) tests, and building test frameworks.…See more Requires 4+ years of software development experience, strong Python/MATLAB/C++ skills, understanding of hardware-software interaction, experience with hardware interfaces and build tools, and an active Secret-level security clearance with ability to obtain TS/SCI.

A software engineer will maintain and extend the C++ codebase for ground station and drone swarm systems, develop new swarming algorithms and communication protocols, and build Python web services and Android frontends. The role requires proficiency in C++, Python, Java/Kotlin for Android, HTML/CSS/JavaScript, Linux development, and object-oriented design, with a mathematical or physics background.…See more Responsibilities include collaborating on software architecture, working with Agile processes, and contributing to autonomous swarm robotics systems that enable one operator to control dozens to hundreds of vehicles in real-time.

Deloitte seeks a Forward Deployed Engineer to design, build, and deploy AI-enabled solutions and agentic platforms for government clients using Palantir technologies. The role requires hands-on experience building and operating GenAI/LLM-powered systems in production, contributing production-quality code with strong testing and CI/CD practices, and leading project workstreams to translate business problems into scalable AI solutions.…See more The engineer will prototype and deliver working solutions independently within a pod structure while mentoring teammates, balancing quality, safety, latency, cost, and model risk in architecture decisions.

As an Applications Engineering Consultant for Siemens EDA's Emulation division, you will provide technical sales support and hands-on expertise to customers evaluating and deploying Siemens Veloce Strato emulation and prototyping solutions. You'll work directly with customers during product evaluations, troubleshoot technical obstacles, deliver presentations on product features, and communicate customer requirements back to product development teams.…See more The role requires 7+ years in chip/ASIC design, verification, or emulation/prototyping, with deep expertise in SystemVerilog/Verilog/VHDL, RTL design, industry emulation tools (Veloce, Palladium, ZeBu), and simulation environments (Questa, VCS, Incisive). You'll leverage scripting languages (Python, Perl, Tcl, shell) and EDA tool integration knowledge to help customers optimize their design flows and build long-term technical relationships.

NXP seeks an entry-level NFC System Software Validation Engineer to validate and verify NFC components at the system level, developing and executing automated test scripts, test plans, and procedures according to product specifications. The role requires hands-on use of lab equipment (oscilloscopes, logic analyzers, spectrum analyzers, RF tracers) and collaboration with hardware and firmware teams to troubleshoot software defects in embedded NFC systems.…See more The candidate must have strong proficiency in C, C++, Java, or Python, foundational knowledge of wireless communications protocols (NFC, Bluetooth, Wi-Fi, Zigbee), and experience with embedded development tools and debuggers.

Applications Engineer supporting Shield AI's autonomy software products, deployed globally (~50% travel) to integrate and support enterprise software with customers. You'll become expert in the Hivemind enterprise software stack and autonomy modules, provide technical training and support, develop AI/autonomy applications using the SDK, assist with sales demos and post-sales deployment, debug API integration issues, and collaborate with product engineering on customer feedback.…See more Requires 5+ years industry experience, 2+ years in applications/integration engineering and startup environments, strong C++ proficiency, intermediate Python, and a degree in Engineering or Computer Science.

A junior data engineer will contribute to data pipeline development across AWS, Azure, Salesforce, and MuleSoft, learning the full engineering lifecycle with guidance. Core responsibilities include building and maintaining data pipelines, implementing Kimball-based data models, writing Python orchestration and data-quality scripts, and supporting Power BI analytics.…See more The role emphasizes AI-assisted development using Claude Code, Cursor, and GitHub Copilot, with requirements for 0–2 years of experience, 6+ months of Python, intermediate SQL, at least one end-to-end pipeline project, and Power BI/Tableau dashboard experience.

Staff Data Engineer at Illumina seeking a senior individual contributor with 10+ years building and scaling data products on Databricks and Snowflake. The role spans end-to-end ownership of data pipelines across Supply Chain, Manufacturing, and Quality domains, requiring advanced Python, SQL, and data modeling skills with hands-on expertise in Spark, Delta Lake, dbt, and distributed systems design.…See more Responsibilities include designing medallion-architecture data products, embedding governance and data quality, adopting AI in analytics workflows, and mentoring a global engineering team. The candidate will set technical standards, lead architecture decisions, and communicate trade-offs across business, AI, and platform stakeholders.

This Data Engineer II role focuses on data operations and infrastructure, supporting the transition of data systems from development to production. The engineer will administer data lakehouse/warehouse platforms (Snowflake, Databricks, Redshift, BigQuery, Azure Synapse), manage RBAC and user governance, monitor and troubleshoot data pipelines, and contribute to data governance and quality best practices.…See more Key responsibilities include orchestration tool administration (Apache Airflow, dbt), observability framework development, incident management, and hands-on SQL and Python work to maintain and optimize production data systems.

Lead ML research and production model development for a quantitative trading firm, working hands-on to design, train, and deploy ML systems that directly impact live trading environments. You will drive technical execution across the engineering team, mentor engineers to raise the bar, and translate ambiguous research problems into executable modeling work with measurable real-world impact.…See more The role requires 4–6 years of applied ML experience with 1–2 years of technical leadership, strong fluency in Python and PyTorch, and a track record of shipping production systems in high-stakes contexts.

Software Engineer II supporting Navy METOC systems, responsible for maintaining and developing fielded software systems, firmware, and engineering development models. Duties include software maintenance, patch deployment automation, security compliance (DISA STIGs, C&A processes), vulnerability management, and system hardening.…See more Requires 3+ years software engineering experience, Navy tactical systems familiarity (preferably CANES), Windows/Linux administration, scripting (PowerShell, Bash, Python), and DoD 8570 IAT Level II or Security+ CE certification.

Principal Software Engineer responsible for designing, developing, integrating, and testing embedded and real-time software for flight-critical and mission-critical systems at Northrop Grumman. The role requires expertise in C, C++, and Python, with experience in multi-threaded development, SDLC, Agile methodologies, and real-time operating systems (VxWorks, Integrity, embedded Linux).…See more Will collaborate across Systems Engineering, Cloud & Application, DevSecOps, and Test Automation teams in a fast-paced environment, analyzing system capabilities and resolving technical problems.