data-science jobs in San Diego

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.

Lead a Palantir Forward Deployed Engineering team for the Government & Public Services practice, guiding architecture of data pipelines powering GenAI use cases. You will contribute production-quality code, enforce strong data management and CI/CD practices, and translate business problems into AI solutions while working with federal/state/local government clients.…See more The role requires 10+ years of software/data engineering experience, 1+ years of hands-on GenAI/LLM deployment, and 1+ years working with Palantir (Foundry, AIP, or Maven), with deep familiarity in AWS, Azure, and/or Google Cloud environments.

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.

The Cybersecurity Analyst will support security compliance, assessment, monitoring, and remediation for a Federal information system. Responsibilities include implementing and validating security controls, collecting evidence for assessments and audits, maintaining security documentation, reviewing vulnerability scans, monitoring security alerts, and preparing status reports.…See more The role requires a minimum of five years of cybersecurity or information assurance experience, a bachelor's degree, and an active CompTIA Security+ certification or higher. The analyst will coordinate with technical and program personnel to ensure cybersecurity actions are completed on schedule.

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).

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.

A forward-deployed engineer role at Deloitte's Government & Public Services practice focused on designing, building, and deploying GenAI/LLM-powered solutions on Databricks for federal and public-sector clients. The role requires 4+ years of software/data engineering experience, 2+ years hands-on with GenAI/LLM solutions in production, and 2+ years with Databricks platform technologies.…See more Responsibilities include delivering production-quality code with strong CI/CD and documentation practices, designing extensible functionality, leading project workstreams, and translating business problems into AI solutions while traveling approximately 50%.

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.

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.

A Principal-level GPU engineer role requiring architecture, design, implementation, and optimization of GPU cores and related software. The position involves leading teams to develop functional model simulations, graphics tests, driver and compiler software, and performance/power verification across complex GPU systems.…See more Requires 6–8+ years of software/hardware/systems engineering experience with advanced expertise in GPU architecture, and includes technical leadership and cross-functional collaboration with vendors and senior leadership.

This role combines compliance operations, infrastructure project management, and IT governance. The Compliance Analyst will own SOC 1/SOC 2 and privacy audit readiness, administer compliance platforms (Vanta), manage internal controls and IT security policies, oversee infrastructure change control and business system deployments, and coordinate cross-functional projects to maintain audit-ready posture and support enterprise sales through trust enablement.See more

Design, build, and maintain real-time data ingestion pipelines that reliably stream data from multiple sources into a centralized data platform. You will ensure data quality, observability, and low-latency delivery while collaborating with data engineers, platform engineers, and analytics teams.…See more Responsibilities include building resilient pipelines with error handling, automating monitoring and alerting for data issues, performing root cause analysis on outages, and partnering with security teams on encryption and data governance. You must demonstrate proficiency in Python and bash scripting, familiarity with tools like Kafka, NiFi, Spark Streaming, Snowflake, and Elasticsearch, and 3+ years of experience in data engineering or DevOps roles supporting production pipelines.

This Microsoft Power Platform business analyst role focuses on transforming business processes into automated, data-driven applications and dashboards. You'll develop solutions using Power Apps, Power Automate, and Power Query; analyze and model data using tools like Databricks or low-code platforms; and deliver actionable reports to support program, financial, and acquisition management.…See more The role requires 2+ years of data analysis or management experience, knowledge of Microsoft Power Platform, and the ability to translate data insights into process improvements.

Design and implement enterprise data architecture solutions across on-premises and cloud environments, including data models, pipelines, governance frameworks, and integration patterns. Develop data pipeline blueprints, entity relationship diagrams, and manage data warehousing, cataloging, and quality standards.…See more Serve as a subject-matter expert for data architecture across DoD analytics platforms, Microsoft 365, and hybrid cloud environments. Coordinate with government technical leads, platform teams, and data stakeholders while managing data governance, security accreditations, and administrative requirements.

This role supports functional transformation and SAP implementation projects for Deloitte's consulting clients. You will gather business requirements, analyze processes, develop test scripts, track defects, and coordinate stakeholder communications across large-scale transformation initiatives.…See more The position requires 1+ year of business process improvement or technology implementation experience and 6+ months of hands-on SAP work, with a focus on documenting requirements, process flows, and project deliverables using Microsoft Office tools.

The Business Intelligence Analyst supports the Altman Clinical and Translational Research Institute (ACTRI) by monitoring performance metrics, interpreting dashboards, and preparing reports that inform strategic planning and continuous improvement. The role includes implementing data validation and quality checks, developing performance measurement frameworks, creating technical documentation, and managing KPIs across units and programs.…See more Required expertise includes business intelligence functions, data visualization (particularly Tableau), database management, and strong analytical and communication skills. The position combines technical support (data integrity, dashboard creation, system administration) with operational support (SOPs, requirements gathering, project management).

Build and optimize scalable LLM inference platforms at Qualcomm's Cloud AI team, implementing advanced serving techniques like KV-cache management, speculative algorithms, and model optimization. Contribute to production serving frameworks (vLLM, SGLang, Triton, TGI) and work with customers on deployment solutions.…See more Collaborate with compiler, firmware, and platform teams to drive efficient serving through autoscaling, load balancing, and routing. Requires deep understanding of transformer architectures, strong PyTorch and Python skills, computer architecture knowledge, and hands-on experience profiling and optimizing deep learning workloads.

Senior Embedded Software Engineer role at Qualcomm's Data Center Business Unit focused on designing and developing software/firmware for cloud edge and data center ML acceleration on high-performance silicon. The role requires deep expertise in embedded systems including board support packages, device drivers, RTOS, secure boot, TrustZone, and low-speed peripherals (I2C/SPI/UART), combined with proficiency in C/C++ development, debugging with JTAG/SWD, and embedded Linux.…See more Responsibilities include ML acceleration, process-in-memory optimization, memory management, virtualization, and collaboration with cross-functional teams. Ideal candidate has 2+ years of low-level C programming and background in SoC architecture, DMA, PCIe, and multi-threaded programming.

Lead product strategy and roadmap for Intuit's next-generation Agentic AI Platform, designing core execution frameworks, agent libraries, and SDKs that enable complex reasoning and autonomous task execution across TurboTax, QuickBooks, Mailchimp, and Credit Karma. Define extensible platform architecture, drive multi-step planning and orchestration capabilities, and ensure agent observability and trust at scale.…See more Partner closely with engineering and architects to standardize agent development, deployment, and management while mentoring other product managers on technical fluency and platform thinking.

Lead detection operations, incident response, and security operations maturation for a growing security team. Operate SIEM/XDR across endpoint, cloud, identity, network, and SaaS telemetry; conduct complex investigations; tune detections; and drive root-cause analysis and post-incident improvements.…See more Require 6+ years of hands-on security operations, detection engineering, or incident response experience with deep proficiency in SIEM/XDR query languages, EDR platforms, scripting (Python, PowerShell, Bash), and MITRE ATT&CK framework application. Mentor analysts, define playbooks and runbooks, lead threat hunts, and own SecOps metrics and operational-readiness reporting.

Lead the design and deployment of AI agents and automation tools across Intuit's talent acquisition function. You'll partner with TA teams to identify high-impact AI opportunities, build working prototypes using LLM APIs and agent frameworks, establish governance and performance metrics for deployed agents, and translate validated solutions into production requirements with engineering teams.…See more This role requires both deep TA domain expertise and hands-on AI implementation experience—you'll move from problem discovery through prototype validation to scaled deployment while maintaining human oversight and compliance.

As a Machine Learning Application Developer, you will develop and optimize neural rendering applications and ML software for efficient AI execution on Samsung's mobile GPUs. Working with hardware and software teams, you'll optimize performance and resource utilization by developing API-level software, ML operator implementations (GEMM, convolution, activations), and conducting low-level performance analysis.…See more The role requires strong C/C++/Python skills, proficiency with Vulkan/OpenGL/OpenCL, hands-on neural rendering experience, and deep understanding of GPU architecture and performance optimization techniques.