The board
- Pay
- $8,000–$12,000/yr
- Where
- San Francisco
- Posted
- Jun 26
This is not a side project internship. You will own a meaningful piece of work end to end, ship it to a real system, and see it used. You will sit close to the engineers building the Policy Engine and the platform around it, and you will be expected to form opinions, ask hard questions, and take problems further than they were handed to you.
We are looking for someone whose strength is the fundamentals: someone who writes clean code, reasons carefully about correctness, and wants to understand the whole system rather than just the piece in front of them.
What you'd do
- Build and ship features across the stack, from backend services to product surfaces
- Write code that holds up under real load, with the correctness and clarity our systems require
- Work closely with senior engineers and take ownership of a project from design through delivery
- Dig into ambiguous problems and bring back a clear answer
- Full-time, in person in San Francisco
- 10 to 12 weeks between May/June and August/September 2027
- We sponsor US visas
What they want
- Pursuing a Bachelor's degree in Computer Science or a related technical field
- Strong programming fundamentals and fluency in at least one general purpose language (Python and JavaScript are central to our stack)
- Comfortable with Git and basic cloud workflows (AWS or GCP)
- Able to explain technical ideas clearly to people with different backgrounds
- Curious, self-directed, and able to make progress without constant scaffolding
What you get
- World-Class Backing: You will join a venture-backed company with institutional investors including Google's Gradient Ventures, General Catalyst, and Y Combinator.
- Real Impact: You will work directly on the core systems that determine how models perform in the wild. Your work ships into real, high-stakes environments where governance, auditability, and performance are non-negotiable.
- Autonomy & Trust: We operate with a high degree of trust. You are expected to form strong technical opinions and execute on them.
About CTGT · Engineering
Despite massive investment in commercial AI, organizations often find that demonstrated value is elusive, primarily due to the non-deterministic risk inherent to generative models. CTGT is the deterministic governance layer that enables the most important global institutions to deploy AI workflows with confidence. Born out of Stanford University research, we provide the control plane that makes it possible.