r jobs in San Diego

As a Sr. Staff Software Engineer on Teradata's Database Query Optimization team, you will lead the design, development, and testing of advanced features for the Teradata SQL Engine—a cloud-based query optimization platform supporting massively parallel processing (MPP).…See more You will own all phases of the agile development lifecycle, establish technical direction for complex feature development, conduct competitive analysis of database management systems, and lead engineering teams during feature delivery. Required expertise includes 10+ years of experience (or equivalent with advanced degree), deep C/C++ proficiency with strong Java, Python, R, and SQL skills, and demonstrated ability to design large-scale, elastic, cloud database services and distributed systems. You will design, implement, and maintain the LLVM-based query parsing engine while partnering with feature managers on technical planning for large-scale initiatives.

The Senior Scientific Platform Engineer will develop and maintain software components, data processing workflows, and platform services that operationalize scientific innovations for clinical studies. The role requires translating research outputs and algorithms into production-grade backend services, APIs, and data pipelines on AWS, while collaborating with Science, Data Science, Product, and Engineering teams.…See more The ideal candidate has 5+ years building analytics platforms or scientific computing solutions, strong Python proficiency, and experience with cloud-native and serverless architectures. The position demands the ability to understand complex scientific methods and transform them into scalable, validated, maintainable software solutions within a regulated healthcare environment.

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 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.

As a client-facing data analyst, you'll work with Department of the Navy clients to understand their data needs, transform complex structured and unstructured data into actionable insights, and advise on how findings impact DoD acquisition programs and IT modernization. You'll use tools like Tableau, Python, R, or SQL for data manipulation; Databricks or Spark for data engineering; and Power Apps/Power Automate for automation.…See more You must hold or be able to obtain a Secret clearance and have 4+ years of DoD client experience.

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.