Frontier AI Infrastructure Engineer — End-to-End Ownership

Venture Up; San Francisco (CA); Hybrid; USD 350,000 - 600,000; Full time

Benefits offered by this job

Competitive equity

SF FiDi office

Remote Sunday

Job summary

Venture Up is seeking a Software Engineer to build infrastructure for frontier AI labs in San Francisco. You’ll own end-to-end projects, tackle distributed systems, and work across stack technologies such as Python, TypeScript, React, Node.js, Kubernetes, and Kafka.

Join a fast-paced, early-stage environment with strong equity incentives and in-office SF work and a Sunday remote option. You’ll contribute to RL environments, evaluation systems and data infrastructure powering AI research, while

Qualifications

• 1–4 years of strong software engineering experience.
• Strong full-stack fundamentals across Python, TypeScript, React and Node.js.
• Comfortable tackling infrastructure and distributed systems problems using Kubernetes and Kafka.
• High ownership, intellectually curious and able to move quickly across unfamiliar technical problems.
• Excited by an intense, early-stage environment and working in-person alongside other ambitious engineers.

Responsibilities

• Build for Frontier AI – Develop RL environments, evaluation systems and infrastructure powering data creation for advanced AI and agentic reasoning.
• Own Projects End-to-End – Move from prototyping ideas from research papers through to building and deploying production systems.
• Solve Hard Engineering Problems – Work across Kubernetes, Kafka, APIs, distributed systems and full-stack applications operating at significant scale.
• Work Across the Stack – Collaborate directly with research, product and design, tackling whatever engineering problem has the highest impact.

Skills

Python

TypeScript

React

Node.js

Kubernetes

Kafka

Distributed systems

Job description

Venture Up is seeking a Software Engineer to build infrastructure for frontier AI labs in San Francisco. You’ll own end-to-end projects, tackle distributed systems, and work across stack technologies such as Python, TypeScript, React, Node.js, Kubernetes, and Kafka.

Join a fast-paced, early-stage environment with strong equity incentives and in-office SF work and a Sunday remote option. You’ll contribute to RL environments, evaluation systems and data infrastructure powering AI research, while