Top Tech Jobs & Startup Jobs

The Senior Backend Software Engineer will develop and implement a data platform with LLM-enabled capabilities, optimize data processes, and collaborate with cross-functional teams to meet operational needs.

Develop and improve C++ systems interacting with hardware sensors, build scalable data pipelines, and design deep learning algorithms for chemical data insights.

As a Staff Backend Software Engineer, you'll design and implement software for Tapestry's analytical tools in energy, collaborating with cross-functional teams to optimize performance and scalability.

The Machine Learning Engineer will design and deploy multi-modal models while collaborating with cross-functional teams to translate research into production-ready solutions, focusing on climate change mitigation.

The Engineering Manager will lead the Data Platform team, overseeing the creation of a digital replica of the electricity networks and guiding the development of autonomous systems, while also managing and mentoring team members.

Design and build foundational software for AI to interface with biological data, work with scientists, and manage full-stack responsibilities.

As a Staff Backend Software Engineer, you will design and implement high-performance backend infrastructure for energy intelligence applications, collaborating with engineers and domain experts to deliver solutions and prototypes.

As a Senior Computational Scientist, you will develop and optimize decision-making logic for grid operations and lead software design for energy systems addressing complex optimization challenges.

Translate multi-modal AI research into production products and prototypes. Define front-end and back-end system strategy, build full-stack external and internal systems, and leverage AI tooling for development. Collaborate with small teams, lead engineering efforts, and work with external partners to drive early-stage product development.

As a Staff ML Software Engineer, you will lead the development and deployment of machine learning applications, leveraging your expertise to drive software architecture decisions, maintain cloud infrastructure, and collaborate within a small, agile team focused on geospatial challenges related to climate change.