Software Engineer Jobs in Berkeley, CA

The Software Engineer, Perception develops autonomous aircraft systems to detect and manage wildfires using real-time data processing and machine learning techniques.

The Senior Software Engineer will develop mission simulation infrastructure, integrating various systems and ensuring safety-critical features for autonomous firefighting operations.

Responsible for building decision-making frameworks for multi-aircraft wildfire suppression, developing algorithms, and ensuring real-time software performance. Collaborates with engineers and firefighters for system validation.

Design and build scalable data ingestion pipelines and modernize Block's CDC platform while collaborating cross-functionally to ensure data flows reliably for analytics and ML initiatives.

The Software Engineer will build scalable backend services, optimize performance, and mentor peers, focusing on distributed systems development.

The Full-Stack Engineer will develop and maintain web applications, translating UI/UX designs into responsive apps, optimizing applications, and writing clean code.

Develop and maintain core tools for microprocessor design, including simulation and build tools. Requires systems-level programming and tool validation experience.

The Full Stack Software Engineer will develop user experiences across web and mobile, integrating frontend and backend systems, manage APIs and databases, and ensure code quality through testing.

The Lead Robotics Software Engineer will develop key functionalities of Dapster's robot technology, focusing on motion planning and navigation algorithms.

Lead ownership of Dapster's robotic system, writing code for sensors and interfaces, integrating devices, and contributing to foundational technology.

The Senior Software Engineer will develop backend services, optimize infrastructure, improve processes, maintain CI/CD pipelines, and mentor team members in a collaborative environment.

The role requires designing and developing web applications and backend systems, integrating LLMs, and ensuring quality software delivery.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The Founding Software Engineer will build and enhance crisis-intervention software, focusing on mobile and web applications for government welfare, ensuring compliance and integrating data securely. Responsibilities include feature development, security enhancements, and managing interns.

Build and operate core runtime services for Glean's AI agents, focusing on performance, reliability, and integration with leading LLM providers.

Design and implement scalable, secure backend systems in a cloud-native environment, ensuring high performance and reliability while mentoring junior engineers.

Join Ema as a Software Engineer to design and develop user interfaces for web applications, collaborating with product managers and UX designers, and integrating APIs.

As a DevOps Engineer, you will design, develop, and deploy scalable SaaS solutions, automate infrastructure tasks, and collaborate on CI/CD enhancements.

The role involves designing and developing machine learning infrastructure for annotation, evaluation, and training models, focusing on scalable systems and efficient data workflows.

The role involves designing, developing, and maintaining backend APIs, overseeing API performance, collaborating with teams on B2B solutions, and aligning architecture with product strategy.

The Software Engineer will manage data collection for model training, enhance cloud infrastructure, and collaborate with scientists for data processing and improvements.

Lead the design and evolution of predictive maintenance platform, build and scale ML-powered features, and mentor other engineers.

As a Full Stack Software Engineer, you will design backend infrastructure for robotics, collaborate with engineers, build software for edge and cloud environments, and ensure system reliability through testing.

As a Machine Learning Engineer, you will develop models for NLP and code-generation systems, analyze data, and improve AI performance using advanced algorithms. You'll manage the entire ML lifecycle and ensure effective communication of model benefits across the organization.

Develop and maintain scalable, reliable back-end systems and APIs, write maintainable code, and collaborate with global teams in a hybrid work environment.