data-science jobs in San Diego

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. The role serves as liaison between business stakeholders and technical teams, driving Maximo 2.0 adoption through training programs while developing enterprise reporting solutions.…See more 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.

Own end-to-end demand forecasting and capacity planning for AI systems, compute, storage, GPU, and emulation across a global engineering organization spanning tens of thousands of servers and hundreds of petabytes of storage. Translate silicon product roadmaps and tapeout schedules into multi-year demand plans, size and justify capital purchases into the hundreds of millions of dollars, and present capacity positions to engineering and finance leadership.…See more Build and maintain forecasting models, decision rules, and utilization analytics; apply AI and automation to move beyond manual spreadsheet work. Lead and mentor a team of analysts, raising their craft and setting analytical direction.

Design and architect next-generation ML inference infrastructure for globally distributed, multi-tenant model serving with high availability, scalability, and cost efficiency. Lead the development of low-latency, high-throughput inference systems supporting computer vision and multimodal models (CNNs, segmentation, object detection) using Scala, Java, and Go.…See more Build large-scale distributed systems with reactive frameworks, integrate enterprise feature stores, and extend CI/CD pipelines (GitHub Prow, Pulumi) with automation and policy enforcement. Design advanced observability frameworks, optimize ML algorithms for performance, mentor engineers, and ensure MLOps and compliance standards (GDPR, SOC2) across the platform.

Design, develop, and optimize machine learning systems for production AI platforms, including model development, inference optimization, and scalable ML infrastructure. Build training-to-deployment pipelines, optimize model serving for latency and cost, and integrate LLMs and generative AI models into microservices and APIs.…See more Develop data pipelines for ingestion, preprocessing, and feature engineering while collaborating cross-functionally with product, platform, and hardware teams to deliver end-to-end ML solutions.

This role involves independently designing, developing, and debugging real-time embedded software, RTOS environments, and microcontroller firmware for wireless chipsets supporting 3G, 4G, 5G, and AI technologies. The engineer will work on driver development, integration, testing, and validation of communication protocols and platforms, while also contributing to data collection frameworks, machine learning modeling, and embedded software algorithm improvements.…See more Responsibilities include on-target development, tool and process optimization, customer support, technical documentation, and active participation in design reviews. The position requires a Master's degree in Electrical Engineering, Computer Engineering, Computer Science, or related field.

As a Senior Systems Engineer for Data Center AI at Qualcomm, you will research, develop, optimize, and validate AI/ML solutions that integrate Qualcomm's hardware accelerators with software and ecosystem to deliver high-performance inference in datacenter environments. You will design and deploy Gen AI and LLM applications, implement fine-tuning and distillation techniques, perform model benchmarking, and drive system-level architecture decisions.…See more You will collaborate across functional teams to meet system-level requirements while staying current with advances in AI/ML models and hardware. Required skills include strong Python proficiency, expertise in ML frameworks (PyTorch, TensorFlow), deep understanding of ML deployment and system performance profiling, and experience with parallel computing.

Own and deliver small to medium machine learning system components from design through production deployment, including building data pipelines, training and evaluating models, and implementing MLOps monitoring. Write high-quality Python code to translate technical requirements into maintainable solutions, working with frameworks like scikit-learn, TensorFlow, PyTorch, and HuggingFace.…See more Design and deploy ML models as microservices, APIs, batch jobs, or streaming components on AWS, with responsibility for model performance metrics, data drift detection, and retraining triggers. Collaborate across Data Engineers, Software Engineers, Data Scientists, and product stakeholders to deliver project objectives.

As a Cybersecurity Engineer and Risk Analyst, you will develop and implement security solutions to protect military infrastructure, performing vulnerability and compliance assessments using industry-standard tools like eMASS and ACAS. You'll troubleshoot complex security challenges, assess network and system threats, implement infrastructure controls, and communicate security risks to both technical and non-technical audiences.…See more The role requires 3+ years of experience leading Risk Management Framework (RMF) activities for DoD projects, vulnerability scanning, and security control implementation. You'll work closely with Navy missions to identify cyber risks, recommend solutions, and provide hands-on support using your knowledge of cybersecurity policy, networks, system infrastructure, and risk management.

The AI Architect will lead the design, development, and deployment of enterprise-scale generative AI solutions across Azure and AWS, partnering with business and engineering leaders to define AI strategy and architecture standards. The role requires deep expertise in modern LLMs (Claude, Gemini, OpenAI), multi-cloud AI platforms, and enterprise architecture, with 10+ years in software/cloud architecture and 5+ years architecting AI/ML solutions.…See more Key responsibilities include designing end-to-end GenAI solutions leveraging RAG, agentic AI, and multi-agent systems; establishing cloud-native deployment patterns; and defining governance, compliance, and responsible AI frameworks. The ideal candidate will serve as a trusted technical advisor to executives, mentor engineering teams, and drive AI adoption through reusable frameworks and reference architectures.

OWT Global seeks a Cybersecurity Analyst to serve as technical authority for ServiceNow platform security, ensuring compliance with federal cybersecurity protocols including NIST SP 800-53 and DoD RMF. Responsibilities include mapping ServiceNow roles and access controls to compliance frameworks, developing and maintaining System Security Plans (SSP) and POA&Ms, supporting vulnerability management and security assessments, and providing advisory support to government personnel on cybersecurity matters.…See more The role requires five years of practical cybersecurity experience, a Bachelor's degree in Cybersecurity or related field, and relevant certifications (CISSP or Security+ preferred), with strong understanding of ServiceNow architecture and DoD RMF processes.

Architect responsible for creating detailed plans and drawings using AutoCAD and Revit to outline project design, conducting site evaluations to ensure quality and safety compliance, and overseeing the construction process from conception through completion. The role requires strong organizational and creative skills, knowledge of engineering and materials science, and ability to collaborate with multiple teams on goals, schedules, and budgets.…See more Requires a Bachelor's degree in architecture and 3+ years of construction and architecture experience.

As an information security risk specialist, you will work with DoD acquisition programs to identify cyber risks, assess threat landscapes, and develop mitigation strategies. You will conduct risk and vulnerability assessments across networks, systems, and applications, translate security concepts for stakeholders, and manage RMF (Risk Management Framework) and A&A (Assessment and Authorization) activities.…See more You need 4+ years of IT systems experience with DoD/government agencies, 3+ years leading Navy RMF projects, and expertise in security policy implementation, compliance assessment, and vulnerability mitigation. A Secret clearance and DoD 8140 Certification are required.