Software Engineer Jobs in Fremont, CA

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

As a Software Engineer Intern, you will develop software solutions, data platforms, and lab systems, focusing on improving user experience and productivity.

The Full-Stack Product Engineer will design and develop AI-focused products, manage the feature lifecycle, and advocate for process improvements.

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 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.

Join our applied AI lab as a Software Engineer to build software agents and collaborative AI teammates for engineering teams.

Design and write software for surgical robots, ensuring reliability and precision in high-stakes medical applications, while collaborating in a meritocratic environment.

As a Software Engineer Intern, you will develop and maintain various software systems for Neuralink's Implant technology, focusing on SDKs and production quality.

Develop and improve software for Neuralink's implant systems, including SDKs and verification tools while maintaining production standards and ensuring quality.

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.

Develop and optimize deep learning models for autonomous vehicles, focusing on real-time applications, model evaluation, and deployment of foundation models.

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.

The Software Engineer Intern will develop and validate brain-computer interface software, collaborate with users, and implement new features.

As a Software Engineer, collaborate with clinical trial participants to develop and enhance brain-computer interface software systems, leading application creation and feature implementation.

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

Develop network automation software for TeraWave satellite communication systems, focusing on embedded software, network protocols, and real-time processing.

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.

Design and develop user interfaces and backend architectures for web applications, ensuring seamless integration and optimal performance using modern web technologies.

Develop autonomous AI-driven security testing agents that perform vulnerability assessments in production applications. Collaborate with experts and innovate in offensive security.