Top Software Engineer Jobs in San Francisco, CA

As a Software Engineering Manager, you will lead a team developing innovative hardware, firmware, and software solutions, focusing on AI integration and customer-centric product strategies.

Lead and develop a team of engineers for DigitalOcean's Observability platform, focusing on reliability, scalability, and innovation in software solutions.

Develop and maintain public API and gRPC services, ensuring solutions meet needs, improving efficiency, and mentoring team members.

Build and own systems that enable enterprises to organize, manage, and secure Retool at scale. Work across the full stack on admin setup, projects, AI spend controls, telemetry pipelines, spaces and instance management, data models, permissions, and enterprise governance to make the platform scalable and secure for large customers.

Build and own systems that enable enterprises to organize, manage, and secure Retool at scale. Work across the full stack — backend systems, data pipelines, and product infrastructure — to improve admin onboarding, project/permissions models, AI cost controls, and multi-space/instance governance. Collaborate with product and design to deliver scalable, secure, customer-facing platform features and telemetry for large organizations.

Build systems enabling enterprise-scale use of Retool: admin onboarding, permissions and projects, AI cost controls, spaces/instance management, telemetry and backend pipelines. Work full-stack across web, data pipelines, and platform infrastructure to make governance scalable, secure, and easy for large customers.

Design, implement, benchmark, and optimize CUDA-based GPU kernels and custom operators for on-vehicle ML inference. Build profiling and validation tooling, collaborate with compilers, runtime, and architecture teams, and deliver high-performance, production-grade libraries meeting strict latency, throughput, and reliability targets.

Build and operate foundational event- and data-driven platform systems, tools, and libraries to enable product features. Work cross-functionally with Product, Data Science, Data Engineering, and AI teams, own full-stack development as needed, and monitor/optimize production systems for reliability and performance while prioritizing business impact and developer ergonomics.

Lead architecture and R&D for high-throughput, resilient payments systems. Design EVM infrastructure and Solidity smart contracts, implement ZK cryptography, build cloud-native Kubernetes platforms with GitOps and CI/CD, and develop AI-native/agentic capabilities for payments, fraud detection, and automation. Mentor engineers, drive proofs-of-concept, and align technical solutions with policy and business stakeholders in a regulated environment.

Design, build, and deploy intelligent plugins and automations for HR workflows using AI platforms (Moveworks/Serval), integrating with enterprise systems (Workday, ServiceNow, Concur). Lead requirements gathering, technical analysis, testing, documentation, and secure deployment. Drive the HR Automation and AI roadmap, provide technical guidance, and collaborate across HR, IT, and business stakeholders to deliver scalable integration solutions.

The Senior Analytics Engineer will develop data strategies, maintain data pipelines, create dashboards, and ensure data accuracy for decision-making.