data-science jobs in San Diego

Senior Forward Deployed Engineer responsible for building and deploying GenAI/LLM-powered solutions on AWS, working directly with enterprise clients to translate business needs into production AI systems. The role requires 5+ years of software/data engineering experience, 1+ years hands-on with AWS AI&Data services (Bedrock, Neptune, OpenSearch), and the ability to lead technical workstreams while mentoring team members.…See more You will prototype solutions, develop scalable AI patterns with human-in-the-loop controls, write production-quality code with strong testing and CI/CD practices, and create reusable assets including code libraries and reference implementations. 50% travel required.

Leidos seeks a Sensing Algorithm Engineer to research, develop, and implement novel algorithms for remote sensing applications. The role involves prototyping algorithms in Matlab or Python, implementing efficient C software, conducting performance testing and analysis, and documenting results for customers.…See more The ideal candidate has a BS/MS/PhD in physics, engineering, or mathematics with 4–8 years of experience, fluency in high-level languages, strong signal processing knowledge, and understanding of probability, statistics, linear algebra, and physics. The position requires an active Top Secret security clearance and full-time on-site work in San Diego, CA.

Zensar is seeking an experienced AI Architect to design, develop, and deploy enterprise-scale AI and Generative AI solutions. The role requires deep expertise in Large Language Models (Claude, Gemini, OpenAI), multi-cloud platforms (Azure, AWS), and enterprise architecture, with 10+ years in software/cloud architecture and 5+ years designing AI/ML solutions.…See more Responsibilities include defining AI strategy and architecture standards, designing end-to-end GenAI systems (RAG, agentic AI, multi-agent systems), architecting secure infrastructure across Azure and AWS, establishing governance and responsible AI frameworks, and leading adoption programs. The ideal candidate will mentor teams, evaluate emerging technologies, and translate business requirements into scalable, production-grade AI systems.

Conduct cutting-edge research in efficient generative AI, including LLMs, multi-modal foundation models, LLM reasoning, reinforcement learning, and agentic AI. Lead high-impact research initiatives and develop production-ready solutions with real-world commercial impact, with a focus on on-device deployment challenges.…See more Implement and evaluate solutions in both simulation and on-device environments, and publish findings in top-tier AI/ML conferences. Requires a Master's degree and 2+ years of experience (or PhD), with proven research excellence, deep expertise in generative AI and reinforcement learning, and hands-on experience with model development pipelines including training, fine-tuning, evaluation, and optimization.

Senior/Staff Data Engineer responsible for building production data pipelines, APIs, and BI tools that serve Agoda's contact center operations. Will design and maintain dashboards, metrics, and analytics platforms using SQL, Python, Java, Golang, or TypeScript; work with data warehouses like BigQuery, Snowflake, or Redshift; and orchestrate ETL/ELT workflows using tools such as Airflow or dbt.…See more At Staff level, defines roadmap for key data platforms, mentors junior engineers, and influences cross-team data architecture to scale with business growth.

Qualcomm is seeking an AI Performance Engineer to optimize and deploy machine learning models for inference acceleration on cloud AI hardware. The role involves converting and optimizing language models, vision models, and diffusion models using PyTorch and ONNX, analyzing performance bottlenecks, and designing efficient kernels in Triton.…See more You will collaborate with compiler, firmware, and platform teams to map next-generation AI workloads onto hardware, working across the full product lifecycle from research to commercial deployment. The position requires deep expertise in transformer architectures, inference optimization techniques, computer architecture, ML accelerators, and distributed systems.

Join Qualcomm AI Research as a Machine Learning Engineer to architect, design, develop, and deploy on-device AI prototype software for edge devices. You will work with a multi-disciplinary team using cutting-edge AI frameworks, focusing on model fine-tuning, quantization, and edge inference.…See more Strong Python, deep learning frameworks (PyTorch), object-oriented design, and software engineering best practices are required. Preferred qualifications include generative AI knowledge, neural network optimization, NPU/ML accelerator experience, Android programming, C/C++, and embedded software skills.

As a Staff Software Engineer on Qualcomm's AI Software team, you will lead design and development of core features in the Qualcomm AI Stack (QAIRT and Genie), optimizing deep neural networks and large language models for execution on Snapdragon mobile platforms. You will drive AI runtime framework components for resource-constrained mobile systems, working closely with OEM partners and customer teams to deliver features, optimizations, and bug fixes required for product launches.…See more The role demands expertise in optimizing for power, memory, and performance constraints while maintaining high code quality through design reviews and mentoring junior engineers. You will debug complex system issues across software-hardware boundaries and proactively improve developer workflows, tools, and documentation.

Lead the design and delivery of enterprise AI platforms and applications on Google Cloud, leveraging Vertex AI, Gemini, and cloud-native technologies. Design, fine-tune, and govern LLM solutions; build RAG and agentic systems; and define end-to-end architectures spanning data pipelines, feature engineering, model lifecycle, APIs, and MLOps/LLMOps.…See more Architect cloud-native applications on GKE, Cloud Run, and managed services while implementing security, governance, and production-grade monitoring for AI/ML systems at scale.

Senior Microsoft Forward Deployed Engineer who will design, build, and deploy GenAI/LLM-powered solutions for government clients, translating business problems into production-grade AI systems. The role requires 7+ years of software/data engineering experience, 1+ years hands-on with GenAI/LLM solutions, and deep expertise in Microsoft Azure (AI Foundry, OpenAI, AI Search), Python/TypeScript/C#, and Copilot extensibility.…See more You will lead project workstreams, work directly with client technical teams in fast-paced environments, and mentor others while building reliable, maintainable, well-documented code. 50% travel required.

As a Staff Product Data Manager for AI Platforms & Systems Solutions at Qualcomm, you will own the product strategy, definition, and lifecycle for AI platform products and specifications spanning model enablement, agentic systems, orchestration runtimes, and open protocols. You will develop comprehensive plans of record including schedules, budgets, and resources, directing products from conception through end of life while functioning as a central resource across systems, engineering, standards, quality, marketing, and partner teams.…See more The role requires deep fluency in the Windows edge-AI stack, with technical depth across AI/ML models, agentic systems, orchestration engines, standards development, and hands-on experience delivering Windows-based AI products leveraging local accelerators (CPU, GPU, NPU). You will translate emerging model, agentic, and orchestration trends into differentiated product and specification roadmaps.

The AI Architect II is a senior technical leadership role responsible for establishing architectural standards and patterns for AI solutions, including RAG pipelines, agentic workflows, and model serving. The role involves designing scalable AWS cloud architectures, defining MLOps practices, implementing responsible AI governance, and translating business requirements into enterprise AI and cloud strategies.…See more The position requires hands-on technical expertise to evaluate and integrate AI/ML services, lead systems design across microservices and event-driven architectures, and mentor engineering teams on cloud and AI best practices. This role drives technology decisions with real business impact while modernizing the company's platform through cloud-native and AI transformation initiatives.

The IT Business Analyst supports AMETEK's business operations through custom application development and enterprise solutions, including Oracle ERP and Microsoft Power BI. The role requires translating business requirements into IT solutions, managing custom applications, developing reports, and supporting AI initiatives by making data available to AI platforms.…See more Responsibilities include handling compliance reporting, end-user support, and application documentation. The position demands 5+ years of IT business analysis experience, 3+ years of ASP.NET or equivalent custom coding, and demonstrated experience in a manufacturing environment.

As a Datacenter AI Systems and Solutions Engineer at Qualcomm, you will research, develop, and optimize end-to-end AI/ML solutions that integrate Qualcomm's AI inference accelerators with system software and ecosystem components. You will lead the design and deployment of production-ready Generative AI and LLM applications, perform model benchmarking and performance analysis, and serve as a technical lead for customer engagements on AI model optimization and inference tuning.…See more The role requires deep expertise in AI systems architecture, MLOps practices, and large-scale distributed systems, with hands-on proficiency in Python, ML frameworks, containerization, and orchestration platforms. You will drive system-level requirements, hardware/software co-design, and influence product direction through performance analysis and optimization strategies.

Design, develop, and optimize machine learning systems and models for production AI platforms, with focus on inference optimization, scalable ML infrastructure, and deployment. Responsibilities include building ML pipelines, optimizing model inference across hardware environments, integrating LLMs and models into APIs and microservices, designing data pipelines for ingestion and feature engineering, and collaborating cross-functionally on end-to-end ML solutions.…See more Requires strong software engineering fundamentals combined with deep ML expertise, proficiency in Python and at least one systems language (C++, Rust, or Go), and solid understanding of ML frameworks, transformer architectures, and model deployment systems.

As a Senior AI Engineer at Teradata, you will design and build agent-based AI solutions that enhance developer productivity, working on scalable, marketplace-ready platforms across the Software Development Lifecycle. You'll develop high-quality backend services and APIs, integrate AI/ML technologies including LLMs and agentic AI, and collaborate with cross-functional teams on Teradata's AI platform.…See more The role requires 5+ years of experience in backend services, distributed systems, or data platforms, with strong proficiency in Java, Go, or Python, and hands-on expertise in RESTful APIs, SQL/NoSQL databases, Kubernetes, and cloud platforms. You will also mentor engineers and stay current with emerging AI/ML and cloud-native technologies.

The Bioinformatics Analyst prepares, maintains, and analyzes genomic, transcriptomic, metagenomic, and metatranscriptomic data from sequencing projects. Responsibilities include metagenomic assembly and annotation, statistical and comparative analysis, data mining, database curation, and applying machine learning and explainable AI methods for feature selection and classification.…See more The role works independently on complex tasks while collaborating with cross-functional scientific and technical teams, with potential for project leadership and mentoring as experience grows.

Design, implement, and verify machine learning software for embedded systems running on ARM processors, DSPs, and GPUs in mobile, edge, automotive, and IoT products. Develop optimized ML kernels, compilers, and tools; optimize ML frameworks like TensorFlow and PyTorch for efficient hardware execution.…See more Perform integration, testing, and performance optimization of embedded software subsystems. Collaborate with hardware teams on joint design and development, coordinate cross-team dependencies, and contribute to design reviews.

Qualcomm seeks an experienced Staff Product Manager to define and drive the Linux platform roadmap across Snapdragon-based AI PCs, Edge AI systems, and enterprise computing solutions. The role spans product strategy, Linux distribution enablement, upstream kernel and driver strategy, and AI developer platform support.…See more You will gather customer and ecosystem requirements, create product roadmaps, collaborate with OEMs, ISVs, Linux distribution partners, and open-source communities to deliver optimized Linux experiences on Snapdragon platforms. Success requires translating market needs into platform requirements, managing cross-functional alignment across hardware, firmware, kernel, and AI software layers.

Design, build, and maintain data pipelines that ingest, transform, and load data from SQL Server, PostgreSQL, SaaS platforms (HubSpot), and internal applications into Snowflake. Develop and optimize data models, manage data ingestion using Azure Data Factory and data replication tools, and ensure data quality and integrity.…See more Collaborate with business stakeholders to translate analytics requirements into scalable solutions, develop dashboards and reports, and optimize query performance. Implement data governance best practices, monitor pipelines, and recommend technology improvements to support the company's data strategy.

As Manager, Data Operations, AI and Automation at Measurabl, you will lead end-to-end utility data quality operations for a commercial real estate ESG platform, owning quality standards, customer data health monitoring, and incident resolution. You will design and deploy AI-driven automation (agents, scripts, workflows) to resolve routine data quality issues at scale, eliminating manual work rather than staffing it.…See more You will manage offshore and vendor teams while serving as the technical escalation point for high-impact data quality issues, ensuring customer data meets audit and regulatory standards. Success is measured on team outcomes and automation effectiveness, not personal task routing.

The Information Systems Analyst III coordinates the development, testing, implementation, and modification of complex information systems; performs business process analysis and modeling; researches hardware and software solutions to meet requirements; provides technical support to end users; and leads IT activities. The role requires three years of professional-level information systems management experience, including procurement, project management, business process analysis, and technical assistance to users on major systems.…See more Candidates must hold a Bachelor's degree (or equivalent) and have one year of experience at an Analyst II level or higher.

The Maximo Business Analyst & Reporting Analyst supports and optimizes IBM Maximo solutions through business process analysis, reporting development, user training, and functional support. 0 adoption through training programs while developing enterprise reporting solutions.…See more Maximo 2.0 adoption through training programs while developing enterprise reporting solutions. Key responsibilities include gathering business requirements, designing reports and dashboards across multiple platforms, leading end-user training initiatives, and providing functional support for Maximo-related issues. The position requires 3–5 years of experience with IBM Maximo and proficiency in reporting tools such as BIRT, Cognos, Power BI, or MAS Reporting.

As an information security risk specialist, you will assess cyber risks for DoD acquisition programs by analyzing threat landscapes, conducting risk and vulnerability assessments across networks, systems, and applications, and developing mitigation plans. You will leverage 4+ years of IT experience and 3+ years of Navy RMF/A&A project leadership to translate complex security concepts into actionable strategies for mission-critical systems.…See more Key responsibilities include developing and maintaining RMF artifacts, managing eMASS workflows, creating Authorization Boundary and Data Flow Diagrams, conducting compliance assessments using industry-standard tools, and communicating technical findings to both technical and non-technical stakeholders.

AMD seeks a Principal Compiler Architect to lead the design and optimization of LLVM-based compilers for AMD GPUs, focusing on performance improvements for ML frameworks and HPC applications. The role involves working with architecture specialists on hardware bring-ups, debugging compiler issues, and developing groundbreaking compilation technologies for current and future GPU hardware.…See more The candidate will apply data-driven optimization strategies, stay current with hardware and software trends, and collaborate across teams to enhance compiler support for ML and HPC workloads. Required expertise includes strong C/C++ programming, understanding of GPU execution models, and ideally a track record of open-source LLVM contributions.