Top Biotech Software Engineer Jobs in San Francisco, CA

The Full Stack Engineer will develop and maintain Benchling's multi-tenant platform, collaborating with teams to enhance tenant management and software delivery, while ensuring high performance and quality of systems.

The Software Engineer will enhance Benchling's Notebook product by managing large-scale projects, developing backend and frontend solutions, and collaborating with cross-functional teams.

The AI Engineering Excellence Lead will oversee AI engineering quality and practices, manage teams, ensure enterprise-grade standards, and align strategies across functions.

As a Software Engineer for the AI platform, you will build and scale infrastructure, design secure systems, develop tooling, and ensure performance and security for AI workflows in life sciences.

As a Staff Application Engineer, you'll lead engineering efforts for data-driven cloud applications, mentor teams, ensure operational excellence, and drive architecture and design solutions at scale.

As a Senior Gen AI Platform Engineer at GSK, you will design, develop, and optimize systems for GenAI capabilities, collaborate with teams, and uphold engineering best practices.

Lead a team in developing and maintaining business applications, configure solutions, coordinate with IT and business partners, and drive innovation in application efficiency.

The Principal SAP Technical Architect will be responsible for the design, development, and support of SAP systems in a GMP environment, engaging in ABAP programming, Fiori development, and integration with middleware platforms while collaborating with cross-functional teams.

As a Staff FEA Engineer, you will develop and validate FEA models, perform structural analyses, optimize designs, and collaborate with engineers to enhance wearable device performance and reliability.

As a full stack software engineer, you will design and build software, create tools for efficiency, collaborate with teammates, and own projects through all stages.

The Senior Software Engineer will design and implement AI-enabled patient experiences, develop APIs, and enhance genetic sequencing workflows.

As a Senior Software Engineer, you will develop and scale imaging data capabilities, collaborate with scientists, ensure data integrity, and bridge experimental science with machine learning.