Top Systems Engineer Jobs in San Francisco, CA

Seeking a systems engineer with HPC or parallel programming experience to optimize GPU performance for AI inference at Vast.ai.

As an RF Systems Engineer, you'll define RF systems roadmap, manage RF budgets, engage in design decisions, and participate in recruiting.

The Rust Systems Engineer will optimize AI inference systems, focusing on performance, concurrency, and interacting with distributed systems.

The Staff Systems Engineer focuses on deploying high-reliability autonomous systems in safety-critical environments, defining safety requirements, and ensuring robust system performance.

Join a talented team as a Systems Reliability Engineer to enhance the Cloudflare platform's availability and performance using automation and monitoring tools.

Manage NetSuite ERP system operations, drive customizations and integrations, troubleshoot issues, optimize user experience, and ensure compliance and security.

As a Staff Systems Engineer, you'll contribute to system design, support integration of sensing technology in manufacturing, perform data analysis, and oversee project deliverables.

The Systems Engineer will design, implement, and maintain network infrastructure while ensuring security and optimal performance for a multi-use area network.

The Systems Engineer will design, configure, monitor, and troubleshoot network environments, manage MPLS WAN, and oversee technical projects in production settings.

Work on developing a web-based application for real-time monitoring, enhancing user interfaces, and collaborating with engineers in all SDLC phases.

Assist in load testing, design websites, and graphical elements. Requires effective time management and strong design solutions. 10+ years experience needed.

The Senior/Staff Systems Engineer will lead technical design discussions, prototyping, and integration of software and hardware for a medical robot, contributing to safety and clinical applications.

Responsible for architecture, design, and modeling of satellite communication payloads, collaborating with various teams and assisting in recruiting efforts.

The Staff Salesforce Engineer will lead development and implementation of complex Salesforce solutions, driving initiatives that impact revenue operations while mentoring the engineering team.

Lead the definition and enhancement of source control infrastructure, focusing on Perforce Helix Core while mentoring teams and improving operational maturity.

The Senior Software Engineer will architect and manage the Zoom Contact Center ecosystem, optimizing interaction flows and implementing AI solutions using Python, while collaborating across teams.

As a Python Systems Engineer, you will develop and maintain platforms, ensuring systems reliability, and manage production environments. Code quality, automation, and participation in on-call duties are key responsibilities.

The role involves building testing frameworks and tooling for distributed services and APIs, verifying features, increasing automated test coverage, and improving product quality through collaboration and innovative testing solutions.

As a Senior RL and Physical Systems Engineer, you'll develop high-fidelity RL environments and integrate learning systems with hardware, focusing on evaluation and safety checks.

Design and build graph-based representations for autonomous reasoning systems. Integrate symbolic structures into workflows and develop evaluation tools.

As a ML Systems Engineer, you will design high-performance model serving infrastructure, build optimization pipelines, and ensure sub-second latency for video generation models.

Drive system-level architecture and integration for humanoid robots, managing requirements and interfaces to ensure effective development and operational excellence.

Automate operational processes, manage integration and deployment tooling, and secure infrastructure while improving workflows within teams.

The Finance Systems Analyst will support Finance operations, ensuring data integrity across finance systems and collaborating on process improvements. Responsibilities include troubleshooting issues, project management, and enhancing finance workflows.

Lead development of advanced recommendation systems, driving ML innovation, maintaining ML pipelines, and collaborating across teams to enhance user engagement.