Top Systems Engineer Jobs in San Francisco, CA

The role involves prototyping and developing intelligence systems, analyzing requirements, delivering solutions, and collaborating with technical teams to address intelligence challenges using data analysis.

As a Senior Software Engineer, you will develop distributed data storage and processing systems, enhance performance, and support diverse data workloads at Databricks.

The role involves architecting and maintaining a front-end design system, developing automation, leading AI-assisted workflows, and mentoring engineers.

Lead the development of scalable, reliable traffic management services. Collaborate across teams, mentor engineers, and ensure high performance and availability.

The role involves designing and prototyping advanced video encoding algorithms, focusing on live video streaming and real-time quality analysis to enhance viewing experiences. It includes addressing complex video encoding challenges and engaging in research for innovative video coding technologies.

The role involves designing and developing Flight Control Systems, coordinating with vendors, defining interfaces, and ensuring compliance with certification requirements. Leadership and mentorship of junior engineers is also expected.

As a Principal Engineer, you'll lead the design and implementation of AI systems, influencing architecture and guiding teams while ensuring reliable and explainable AI solutions.

The Design Reliability Engineer will establish reliability targets, lead DFMEA processes, develop test plans, and implement monitoring systems for sensors and automotive electronics.

The role involves building and integrating full-stack features for an AI chat application, focusing on reliable workflows and real-time AI interactions.

Join Planet as a Software Engineer Intern to enhance tools for monitoring and controlling satellites, while automating satellite operations using web-based applications.

Design, deploy, and improve endpoint systems with an automation-first mindset, using AI-driven tools for enhanced security and operational efficiency.

The AR Systems Engineer provides support for AR manufacturing equipment, conducting maintenance, repairs, and calibrations while ensuring customer satisfaction and compliance with company standards.

The Sr. Systems Engineer will design, implement, and maintain GRC technology, collaborate with security teams, develop software, and support privacy initiatives while ensuring compliance with regulations.

Engineer software that connects AI-driven platforms to datacenter power infrastructure. Develop control strategies and optimize energy use and AI workloads.

You will develop detailed models for energy storage systems, optimize designs, validate models with data, and collaborate with engineering teams.

Lead design and assurance efforts for safety and fail-operational initiatives in autonomous driving. Oversee metrics development and coach systems engineers.

The role involves managing finance and revenue systems, improving ERP, and collaborating with stakeholders to design solutions for Finance and Revenue teams.

The Senior Systems Engineer will support full lifecycle development of advanced satellite systems and ensure proper requirements flow-down, manage system integration, and lead engineering activities across diverse teams.

Seeking a Sr. Systems Engineer to lead a team, provide IT support, manage systems, and mentor junior staff in a collaborative environment.

As a Senior Software Engineer for Data Systems, you'll design scalable data pipelines, optimize data flows, and build APIs for integrations, requiring strong collaboration with cross-functional teams.

Develop and optimize trading systems and data pipelines, collaborating with finance and research teams while mentoring junior engineers.

The role involves developing and optimizing GPU-accelerated kernels for ML/AI applications, collaborating with teams to enhance AI systems' performance.

Lead design and verification of depot automation features, develop system architecture and qualification methods, debug field issues, extend features across vehicle platforms, and build monitoring and verification systems with cross-functional teams.

Develop, scale, and monitor ML and perception systems for autonomous vehicles. Analyze real-world ML behavior, root-cause issues, create automated detection and debugging tools, and maintain safety-critical metrics.

Design and build foundation-scale datasets and training recipes; develop human and machine labeling methods; create continuous data intake and automated data collection/model update pipelines; evaluate real-world model performance and detect regressions; maintain ground-truth-free performance metrics.