Top Software Engineer Jobs in San Diego, CA

Build and own the technical roadmap: design AI-first interfaces and APIs, architect scalable ETL pipelines, develop data models for ML features, ship autonomous B2B workflows (PO generation, vendor sync, schedule optimizations), and establish engineering standards, CI/CD, and mentoring.

R&D intern developing and validating compiler features for high-performance computing. Responsibilities include analyzing CPU/GPU performance, reading PTX and LLVM assembly, implementing hardware intrinsics and mathematical algorithms, fixing compiler bugs, creating benchmarks and demos, and writing technical documentation. The role requires strong C++ or C# skills, understanding of memory management and object-oriented programming, and interest in CUDA, OpenMP, GPU architecture, algorithms, and numerical methods.

Design, build, and scale Shepherd’s core platform, backend systems, APIs, user-facing applications, and AI-powered legal workflows. Architect secure, reliable infrastructure for sensitive legal data, collaborate with legal and product teams, build internal tools, optimize performance, and own technical decisions. The role also involves rapid prototyping, mentoring and recruiting engineers, and contributing to SOC 2 readiness and data privacy practices.

Design, develop, and maintain core database features for VillageSQL Cloud, emphasizing performance, stability, scalability, security, and reliability. Build distributed systems using Go and Kubernetes, collaborate on technical vision and architecture, contribute to open-source projects, participate in code reviews, troubleshoot complex issues, and engage with the developer community. The role focuses on database-as-a-service infrastructure and cloud service evolution.

Work with the development team to build and debug web applications: write Python backend code, create responsive HTML/CSS/JavaScript frontends, integrate frontend and backend, participate in code reviews and testing, learn frameworks and document progress.

Join as an early founding full-stack engineer to architect, build, and deploy a scalable platform serving AI-driven voice applications. You will own frontend and backend development, design infrastructure with the CTO, and deliver reliable production systems for enterprise customers.

Design, build and maintain Microsoft Cloud applications using Power Apps/Pages and Azure services. Implement Entra ID authentication, Azure Functions/App Services, Logic Apps and Blob storage. Create Azure Data Factory pipelines and APIs (REST/GraphQL), integrate external services and LLM data pipelines, and ensure performance, security, and scalability while collaborating with customers to turn requirements into streamlined apps.

Build and maintain IDRE, a healthcare payment dispute platform, across frontend and backend systems. Own transaction logic for disputed claims, settlement calculations, and payment records. Develop with React, Next.js, TypeScript, Node.js, Python, and AWS; improve services, observability, and CI/CD. Ensure HIPAA-grade handling of sensitive data, clarify ambiguous requirements, and deliver features end-to-end in a fast-paced startup environment.

Build AI development workflows, agent orchestration systems, collaborative tooling, generative creative pipelines, SDKs, and infrastructure that help teams rapidly prototype and productionize educational experiences. The role spans infrastructure, product, and creative tooling, with responsibility for autonomous agents, asynchronous workflows, multimodal asset generation, reusable engineering primitives, and technical support for a small collaborative team.

Leads two infrastructure and engineering systems squads, owning roadmap, prioritization, delivery, operational health, hiring, mentoring, and vendor budgets. Ships production code, manages on-call performance, oversees audits and automation, and partners across engineering and business functions. Requires substantial software engineering and people-management experience, hands-on production development across cloud or application technologies, strong CI/CD and observability knowledge, security awareness, and experience directing AI agents in production workflows.