AI Infrastructure Engineer — 1-Year Residency

RadixArk; Palo Alto (CA); On-site; USD 70,000 - 90,000; Full time

Benefits offered by this job

Health benefits

Potential for full-time position with equity

Job summary

A cutting-edge AI infrastructure company in Palo Alto is launching a full-time, paid, 1-year residency for aspiring AI infrastructure engineers. Candidates will rotate through various aspects of AI infrastructure work, including inference and training, and collaborate closely with senior engineers on meaningful projects. This program offers competitive compensation and the potential for permanent roles after completion. Ideal candidates are equipped with a relevant degree and a strong foundation in systems programming and ML systems.

Qualifications

• Strong foundations in systems programming, ML systems, or high-performance computing.
• Experience with Python and/or C++; exposure to CUDA, JAX, or distributed systems is a plus.
• Demonstrated ability to learn quickly and debug complex technical problems.
• Desire to grow into a world-class AI infrastructure engineer.

Responsibilities

• Join a residency focused on AI infrastructure.
• Rotate across inference, training, kernels, compilers, and cluster infrastructure.
• Work on LLM serving, diffusion inference, and RL training.
• Own meaningful projects under mentorship from senior engineers.
• Contribute to open-source projects and document learnings.

Skills

Systems programming

Machine Learning systems

High-performance computing

Python

C++

CUDA

JAX

Distributed systems

Debugging complex problems

Communication skills

Education

Bachelor's or Master's degree in Computer Science or Engineering

Job description

A cutting-edge AI infrastructure company in Palo Alto is launching a full-time, paid, 1-year residency for aspiring AI infrastructure engineers. Candidates will rotate through various aspects of AI infrastructure work, including inference and training, and collaborate closely with senior engineers on meaningful projects. This program offers competitive compensation and the potential for permanent roles after completion. Ideal candidates are equipped with a relevant degree and a strong foundation in systems programming and ML systems.