Top Software Engineer Jobs in San Diego, CA

As a Principal Software Reverse Engineer, you will reverse engineer software and firmware, lead technical teams, and develop innovative cybersecurity solutions.

Design and build scalable, high-performance UI components for an AI-native observability platform (90% UI, 10% backend). Lead feature design through delivery, integrate LLMs/RAG and AI tooling, implement automated testing and CI/CD, mentor engineers, and ensure production readiness, observability, and performance across distributed systems.

As a Software Engineer for MES Systems, you'll design, develop, and support database and web technologies, create solutions for complex problems, and execute verification test plans.

As an AI Vision Solution Architect, you'll design AI-powered solutions, collaborate with teams, manage projects, and cultivate customer relationships to enhance product evolution.

Lead and manage software engineering teams: run agile processes, design and ship secure scalable APIs and services, guide architecture, manage technical debt, recruit and mentor engineers, and align work with company objectives.

As a Senior Software Engineer, you will design best practices for AI Agents, develop standards, collaborate on product opportunities, and stay updated on emerging Agent techniques.

The Full-Stack Engineer will build and maintain applications, own features end-to-end, contribute to system design, and collaborate closely with product and design teams while improving system reliability and performance.

Design and implement core Risk platform architecture, manage projects, mentor team members, write high-quality code, and collaborate with stakeholders.

Build and scale real-time invariant enforcement across fund flows, contribute to core platform development, mentor junior engineers, and operate correctness models in production.

As an AI Automation Engineer, you'll identify and build AI-driven automation systems for internal operations, rapidly prototype solutions, and enhance business workflow efficiency, ensuring systems are robust and secure.

Design, develop, and maintain AI-powered applications. Collaborate with engineering and product teams to deliver scalable solutions and mentor other engineers. Conduct experiments to guide product decisions.