statistics jobs in San Diego

Staff QA Engineer at Dexcom leading manufacturing quality and regulatory compliance for continuous glucose monitoring devices. Responsibilities include directing Design Control and design transfer strategy, managing process validation and commercialization, leading cross-functional teams on complex technical and compliance matters, and providing expert guidance on Quality Management System governance (FMEA, CAPA, process controls).…See more Requires deep hands-on experience with FDA 21 CFR 820, ISO 13485, and related QMS requirements, plus ability to mentor teams and represent the organization during audits and regulatory inspections.

Ignite Digital seeks an AI Engineer to own the end-to-end machine learning lifecycle—from data preparation and model training through production deployment and monitoring. You will integrate AI models into frontend and backend systems, optimize performance for latency and cost, and collaborate with technical leads and customers to deliver Data and AI solutions.…See more The role requires strong Python and cloud platform expertise (AWS, Azure, or GCP), software engineering fundamentals, and the ability to communicate technical opportunities and limitations across varying levels of technical experience.

Senior Software Engineer with 10+ years of experience to develop advanced algorithms and software applications using C++, Python, MATLAB, and TensorFlow in Linux environments. The role involves designing object-oriented software, prototyping AI/ML solutions, utilizing DevOps tools (GitLab, Docker, Podman), troubleshooting complex systems, and providing technical leadership to customers and internal teams.…See more Strong mathematical foundation in probability, statistics, estimation theory, and machine learning is required to support algorithm development in a defense technology context.

Design and develop software applications that orchestrate complex automated laboratory workflows and closed-loop learning systems for biotherapeutics discovery. 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, and telemetry monitoring. Requires a Ph.D. in Computer Science, Software Engineering, or Bioengineering with 3+ years of industry experience, or equivalent education with more experience; strong proficiency in Python, SQL, JavaScript, and DevOps practices; and familiarity with lab data platforms and autonomous systems.

Senior Software Engineer/Research Scientist applying advanced mathematical and algorithmic expertise to defense technology development. Responsibilities include algorithm development in probability, statistics, estimation theory, machine learning, and optimization; designing and maintaining C++ software applications in Linux environments; prototyping AI/ML solutions in MATLAB, Python, and TensorFlow; and managing DevOps workflows using GitLab, Docker, and Podman.…See more Requires 10+ years of engineering experience, a B.S. in engineering/mathematics, and ability to obtain a DoD Secret clearance.

As an AI Software Engineer at Qualcomm, you will develop and optimize machine learning software for the Qualcomm AI Stack (QAIRT and Genie SDKs), enabling efficient execution of large language models and deep neural networks on Snapdragon platforms. You will validate and optimize performance of generative AI models, debug complex issues, and collaborate across teams to deliver robust AI solutions.…See more The role requires strong software design, programming, and debugging skills, with expertise in machine learning frameworks, embedded systems optimization, and languages like Python or C++. You will work with minimal supervision, participate in design reviews, and contribute to a culture of technical excellence.

Digital Test Engineers will create test solutions for Qualcomm silicon validation, characterization, and manufacturing enablement across microprocessors, high-speed I/O, logic, and memory IP. The role involves hands-on work with test equipment (oscilloscopes, spectrum analyzers, logic analyzers, network analyzers), signal integrity analysis, and development using Python, Java, and Linux.…See more Candidates will support product introduction across multiple specializations including DFT/yield management, AI/ML-driven test development, and emerging areas like 2.5D/3D IC testing and photonic integrated circuits. The position requires a Bachelor's degree in Engineering or related field and 3+ years of hardware engineering experience.