Top Systems Engineer Jobs in San Francisco, CA

As an IT Systems & Automation Engineer, you'll manage IAM, automate workflows, integrate systems, and enhance IT operations while focusing on security and usability.

As a Senior Robotics Test Engineer, you'll lead testing efforts for robotics software, validate new subsystems, and ensure quality in automated manufacturing systems for biopharma innovations.

Design, build, and secure scalable distributed backend systems for AI workloads. Implement microservice-based architectures, manage Kubernetes-based deployments, apply IaC and DevOps practices, and collaborate with performance and solutions engineering to optimize model deployment and infrastructure cost, security, and scalability.

Develop and optimize GPU algorithms and libraries to improve AI model inference, collaborating directly with the technical team, and investigating new architectures.

As a Systems Software Engineer at Vast.ai, you will enhance critical system performance, reliability, and infrastructure, focusing on containerization and security.

The Software Engineer will optimize virtualization and VM workloads, develop system components, and enhance performance for AI infrastructure using low-level system programming and kernel optimization.

Lead development of high-throughput streaming systems for real-time event processing, maintaining low latency and managing caching strategies. Mentor engineers, architect scalable solutions, and influence technical direction.

As a Software Engineer on the Streaming Systems team, you'll build high-throughput systems for processing billions of behavioral events, focusing on streamlining data ingestion and real-time computation.

Develop and optimize distributed systems for syncing customer data, focus on scalability, reliability, and performance for global clients.

The role involves developing critical software for a real-time autonomous delivery network, focusing on fleet operations, orchestration, maintenance, and simulation systems while ensuring reliability and operability in high-stakes environments.

As a Senior Systems Engineer, you'll improve AWS infrastructure, utilize infrastructure-as-code, implement observability, and ensure security in production environments.

This role manages day-to-day operations of Azure and server infrastructures, focusing on stability, cost management, and security while addressing complex incidents and automation of workflows.

The Senior Machine Learning Engineer will design and implement ML systems, optimize data pipelines, and collaborate on ML workflows for personal injury legal solutions.

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

Design, develop, and support full-stack web applications that enable data workflows, logistics, scientific processes, and advanced analytics. Provide troubleshooting, application support, configuration, testing, documentation, and user training. Collaborate with scientists, business, and IT partners to enhance applications, improve efficiency, and meet project deadlines while working autonomously in Agile environments.

The Quality Engineer, Systems & Compliance role involves managing GxP system compliance, vendor qualification, audit readiness, and developing validation plans to ensure regulatory adherence.

The role involves enhancing Elasticsearch's performance in distributed systems, managing cluster coordination, debugging complex systems, and leading cross-team projects.

The Principal Software Engineer I will enhance Elasticsearch components for performance, manage cluster coordination, and debug complex distributed systems while leading projects.

Responsible for maintaining and enforcing automation system standards and conducting audits. Collaborates with teams to ensure compliance with security and regulatory requirements.

Design and scale infrastructure for multimodal training at OpenAI, focusing on distributed data systems and collaborating with researchers.

As a Systems Engineer, you will develop core systems for processing unstructured data, ensuring speed, resilience, and security in mission-critical workflows.

Design and implement model serving architectures, develop monitoring tools, and optimize performance for generative media models working with Applied ML teams.

The AI Field Engineer will drive technical sales success by partnering with sales teams, designing solutions, conducting demos, and addressing customer needs in AI/ML infrastructure.

Lead reliability engineering for EV powertrain systems (EDU, high-voltage battery, power distribution). Define reliability targets, drive DFMEA, develop virtual and physical validation and PHM strategies, support field monitoring and corrective actions, embed durability in system design, and collaborate with suppliers and cross-functional teams to improve lifecycle reliability.

As a Senior Systems Engineer, you'll design high-performance data management systems, optimize for scalability, solve distributed challenges, and collaborate with the team to maintain code quality. Requires strong backend development and systems programming expertise, particularly in Rust.