Top Principal Software Engineer Jobs in San Francisco, CA

The Principal Software Engineer leads technical standards and product design in a collaborative hybrid environment, focusing on complex software solutions, cloud services, and mentoring teams.

Lead the design and implementation of high-performance PoP infrastructure, optimize networking software, and mentor engineering teams at Blue Origin.

Design and evolve perception architecture for autonomous products, integrating sensing technologies, and leading cross-functional teams on AI and performance metrics.

Lead design, development, and delivery of mission-critical SIEM platform features. Define technical vision, own quality and uptime, mentor engineers, collaborate cross-functionally, build AI-assisted workflows, and drive performance, monitoring, and architecture decisions.

Lead design and prototyping of generative AI experiences for autonomy development; drive UX for Hivemind products; perform user research, collaborate with CTO and product leads, and deliver reference implementations and integrations across full-stack web and edge systems.

Design and build scalable AI-first experimentation and growth systems: telemetry, experiment assignment, feature flighting, rollout automation, and risk controls. Lead cross-team initiatives, partner with Product/Data Science/Design, write production code, review implementations, and raise engineering and experimentation quality across products.

Technical individual-contributor leader designing and architecting cloud-native, microservices-based payment systems. Partners with product, mentors engineers, drives CI/CD, automated testing, and operational readiness while ensuring security, scalability, and cross-functional alignment within FinTech.

Lead design and implementation of Replit's money infrastructure, focusing on pricing, billing, payments, and monetization while ensuring reliability and user-friendly experiences.

Design and build high-performance UI and APIs, manage database architecture, optimize systems for reliability and performance, and collaborate cross-functionally in a scientific context.

Founding engineer responsible for architecting and building core product systems, writing scalable Python backend code, designing and maintaining AI/ML infrastructure, instituting best development practices (testing, CI/CD), collaborating on product roadmap, and mentoring future engineers.

Lead development of the application and cognitive layer for humanoid robots: implement behavior trees and intent-to-action orchestration, build voice applications and multi-modal fusion, integrate robotics capabilities and edge/cloud AI services, and ensure production readiness with CI/CD, telemetry, and monitoring.

Design, implement, and operate cloud-scale telemetry platforms and data pipelines for Azure Monitor. Lead cross-team architecture, mentor engineers, improve AI-enabled development practices, ensure security/compliance, and resolve complex production incidents.

Design, build, test, deploy, and operate scalable, secure Azure networking software and automation tools. Act as DRI, monitor production, troubleshoot incidents, run root-cause analysis, and drive reliability, performance, and cost improvements. Collaborate with PMs and architects, participate in design/code reviews, mentor engineers, and champion security, privacy, and compliance.

Design, implement, and ensure quality of systems stack, tools, and SDK integration for AI frameworks. Collaborate with hardware and ML teams, apply engineering principles, write low-level/high-performance code, define architecture, estimate scope, and drive coding standards.

Lead design and delivery of cloud-based solutions, collaborate with customers and product teams, produce extensible code, mentor engineers, own design documents and dependencies, act as a designated responsible individual (DRI) including on-call system monitoring, and improve reliability, performance, and observability at scale.

Lead development of production-grade, cloud-native software and GenAI/ML systems for Early Clinical Development. Architect LLM-based assistants (RAG, multi-agent, function-calling), build evaluation and monitoring frameworks, drive API-first interoperable data products, mentor engineering teams, and partner cross-functionally to accelerate clinical trial operations and decision support.

Lead design and implementation of advanced systems features for Postgres, focusing on performance optimization and scalability. Mentor engineers and drive architectural direction for large-scale database systems.

The Principal Software Engineer will lead the technical strategy for high-concurrency services, oversee backend design, integrate AI, and ensure operational excellence at Cars Commerce.

Lead architecture and engineering for Azure core platform: define technology requirements, resolve cross-team issues, drive systemic reliability/performance improvements, mentor engineers, support on-call operations, and apply AI/ML to cloud operations.

Lead design and delivery of a hyperscale deployment platform using AI to improve reliability and automation. Mentor engineers, own end-to-end features, drive automation and AI-powered solutions, and ensure high-quality, scalable, maintainable production software.

Lead design and operation of a massively distributed edge compute platform using hyperscaler services and Kubernetes. Design external APIs, optimize L7 traffic routing, ensure high availability, fault tolerance, security and data privacy. Collaborate across AI/ML, hardware, network, and security teams, present scalability and reliability metrics to executives, mentor engineers, and establish architectural governance.

Design and build Azure Kubernetes Service features and AI-native infrastructure, improve service reliability and developer velocity, automate incident prevention/remediation, integrate AI tools, and operate distributed, containerized systems at cloud scale.

Lead design, build, and operate cloud-scale services to improve GPU inference efficiency and utilization across Azure. Translate research into production infrastructure, build telemetry and control-plane systems, drive architecture for workload placement and capacity management, and mentor engineers to deliver reliable, secure, and maintainable inference-serving systems at fleet scale.

Design and operate large-scale, AI-native cloud infrastructure (especially Kubernetes/AKS). Improve service quality, automate incident prevention/remediation, accelerate engineering productivity, and integrate AI tools into development workflows.

Senior backend engineer role owning architecture, implementation, and reliability across CloudZero products. Lead design decisions, mentor engineers, improve performance and scalability, collaborate with product and customers, and deliver production-grade data pipelines and cloud systems.