Role Overview

We are looking for a curious and ambitious Student Software Engineer to join our CTO’s projects team. In this role, you’ll get hands-on experience building experimental tools, automation pipelines, and exploratory prototypes that push boundaries and drive innovation. You’ll work with cutting-edge technologies, from AI-assisted and spec-driven development to modern web stacks, containerized workflows, and advanced AI models and tools - gaining hands-on experience in turning bold ideas into practical, working solutions.

This is a unique opportunity to learn directly under the CTO, gain exposure to real-world engineering challenges, and contribute to projects that span research, automation, and platform innovation. The environment is fast-paced and collaborative, giving you the chance to experiment, learn quickly, and make an impact from day one.

Key Responsibilities

• Collaborate directly with the CTO on exploratory and automation-focused projects.
• Build, test, and refine experimental tools, prototypes, and pipelines.
• Work with a wide range of technologies, including AI-assisted coding, modern web stacks, containerized workflows, and AI/ML tools.
• Help design and automate workflows that improve developer and research productivity.
• Contribute to fast-paced, iterative development cycles with a focus on learning and adaptability.
• Document learnings, share insights, and propose improvements to technical processes.

What You’ll Gain

• Direct mentorship from the CTO, with visibility into strategic and technical decision-making.
• Hands-on experience with modern engineering practices and cutting-edge tools.
• End-to-end exposure to the process of taking an idea from concept to prototype.
• Collaboration skills, working closely with engineers, researchers, and product teams.
• Adaptability and problem-solving experience in a fast-moving startup environment.
• A chance to make a real impact on many people’s lives.

Qualifications

• Currently pursuing/has a degree in Computer Science, Engineering, or a related field.
• Solid programming foundations (e.g., Python, JavaScript/TypeScript).
• Experience with Git.
• Comfortable working with Linux environments and command-line tools.
• Familiarity with web technologies (front-end or back-end) and/or containerized workflows (e.g., Docker).
• Familiarity with AI-assisted development and willingness to explore new tools.
• Strong problem-solving mindset with a “learn by doing” attitude.
• Ability to work independently, manage time, and adapt quickly in a fast-paced environment.
• Excellent communication skills and eagerness to collaborate across teams.

Nice to have

• Exposure to cloud platforms (AWS, GCP, or Azure).
• Interest or experience with AI/ML frameworks and tools.
• Contributions to open-source projects or personal coding projects.
• Familiarity with CI/CD pipelines or automated testing.