Top Software Engineer Internship in San Francisco, CA

As a Software Engineer Intern, you will develop software solutions, data platforms, and lab systems, focusing on improving user experience and productivity.

This position involves developing firmware for implantable systems, collaborating with engineers, and contributing to system improvements. Responsibilities include working with embedded systems and hardware understanding.

As a Software Engineer Intern, you will develop and maintain various software systems for Neuralink's Implant technology, focusing on SDKs and production quality.

Work on Netic's AI product team to design, code, and ship full‑stack features. Collaborate with customers to gather feedback, own end‑to‑end delivery from data models and APIs to frontend polish, and ensure production reliability through testing and monitoring during a 12‑week internship.

As an intern, you'll develop software and machine learning systems for robots, focusing on perception, intelligence, behavior, and real-time software integration.

Contribute production backend code for Serval's AI automation platform, build and extend backend services, design and test scalable systems, and ship features alongside the founding engineering team.

Work with the founding engineering team to build and ship a bounded project (eval infrastructure, ERP integrations, dashboards, or agent training pipeline). Partner with mentors, contribute to code reviews and design, learn production LLM/agent systems, and deploy customer-facing code. Must work in-person in the SF office for the internship.

Summer 2027 software engineering internship building full‑stack features and AI‑enabled prototypes for Pylon's B2B post‑sales platform. Work end‑to‑end with PMs, designers, and engineers, iterate quickly, and ship production features.

The Software Engineer Intern will assist the Infrastructure Team in developing foundational software systems, enhancing developer experience, and building infrastructure for testing and deployment in a high-speed environment.

Collaborate with the founding team to design, prototype, and scale backend and infrastructure for an agentic AI assistant. Implement orchestration logic, API integrations, and LLM-driven workflows; build diagnostics, tests, and monitoring; improve agent reasoning and execution pipelines; participate in product and architecture discussions; document bugs and stabilize the platform for launch-readiness.