Product Infrastructure Engineer - Site Reliability

Zyphra is an artificial intelligence company based in Palo Alto, California.

The Role :

As a Infrastructure Engineer - Site Reliability , you’ll be responsible for designing and maintaining the systems that keep Zyphra’s infrastructure robust, observable, secure, and scalable. Your work will be essential to ensuring the reliability and reproducibility of ML workloads, the safety and control of deployments, and the long-term maintainability of our compute environments.

You’ll work across :

Building and improving observability systems (monitoring, logging, alerting)

Designing resilient build and deployment systems across research and production environments

Implementing secure release processes with strong auditability and rollback support

Collaborating closely with ML engineers, DevOps, and infra teams to improve system reliability and performance

Leading incident response, root-cause analysis, and postmortems with a focus on learning and prevention

This role is ideal for someone who loves building systems that make other teams faster, safer, and more productive

Requirements :

Experience in high-performance compute environments, such as ML clusters or GPU farms

Background in infrastructure as code (e.g., Ansible, Terraform)

Familiarity with software release engineering with for ML / AI systems is a plus

Experience designing reliable environments for experimental workloads and reproducible runs

Knowledge of compliance and audit standards in deployment and system security

Experience with load testing, fault injection, and chaos engineering to harden systems under stress

Passion for building tooling that makes infrastructure invisible and reliable for end users

Bonus Qualifications :

Experience with infrastructure as code (e.g., Ansible, Terraform)

Prior work supporting ML / AI infrastructure, including GPU management and workload optimization

Exposure to backend development for ML model serving (e.g., vLLM, Ray, SGLang)

Experience working with cloud platforms such as AWS, Azure, or GCP

Familiarity with containers (Docker, Apptainer) and their integration with scheduling systems (Slurm, Kubernetes)

Why Work at Zyphra :

Our research methodology is to make grounded, methodical steps toward ambitious goals. Both deep research and engineering excellence are equally valued

We strongly value new and crazy ideas and are very willing to bet big on new ideas

We move as quickly as we can; we aim to minimize the bar to impact as low as possible

We all enjoy what we do and love discussing AI

Benefits and Perks :

Comprehensive medical, dental, vision, and FSA plans

Competitive compensation and 401(k)

Relocation and immigration support on a case-by-case basis

On-site meals prepared by a dedicated culinary team; Thursday Happy Hours

In-person team in Palo Alto, CA, with a collaborative, high-energy environment

If you are excited to bring reliability best practices to the frontier of AI infrastructure, this job is for you. Apply Today!