Zyphra
Product Infrastructure Engineer - Site Reliability
Zyphra, Palo Alto, California, United States, 94306
Join to apply for the
Product Infrastructure Engineer - Site Reliability
role at
Zyphra Join to apply for the
Product Infrastructure Engineer - Site Reliability
role at
Zyphra Get AI-powered advice on this job and more exclusive features. 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!
Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Zyphra by 2x Get notified about new Infrastructure Engineer jobs in
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Product Infrastructure Engineer - Site Reliability
role at
Zyphra Join to apply for the
Product Infrastructure Engineer - Site Reliability
role at
Zyphra Get AI-powered advice on this job and more exclusive features. 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!
Seniority level
Seniority level Entry level Employment type
Employment type Full-time Job function
Job function Information Technology Industries Technology, Information and Internet Referrals increase your chances of interviewing at Zyphra by 2x Get notified about new Infrastructure Engineer jobs in
Palo Alto, CA . Mountain View, CA $145,000.00-$170,000.00 3 days ago Software Engineer, AI Platform - New Grad
Mountain View, CA $145,000.00-$170,000.00 4 days ago Software Engineer (L4), Content & Business Products
San Francisco Bay Area $160,000.00-$180,000.00 2 weeks ago Palo Alto, CA $140,000.00-$185,000.00 2 weeks ago Sunnyvale, CA $112,000.00-$185,000.00 4 days ago Software Engineer, Systems and Infrastructure
Mountain View, CA $114,000.00-$189,000.00 1 day ago Palo Alto, CA $140,000.00-$265,000.00 2 weeks ago eCommerce Full Stack Developer (React / Shopify) - On Site
Mountain View, CA $158,000.00-$198,000.00 1 week ago San Jose, CA $113,400.00-$206,300.00 1 week ago San Jose, CA $130,000.00-$300,000.00 11 hours ago Menlo Park, CA $157,000.00-$230,000.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 1 week ago San Mateo, CA $135,000.00-$155,000.00 13 hours ago Software Engineer - New Grad (2026 Start)
Menlo Park, CA $157,000.00-$230,000.00 2 weeks ago San Jose, CA $113,400.00-$206,300.00 1 week ago San Jose, CA $100,500.00-$173,250.00 5 days ago San Jose, CA $93,200.00-$170,600.00 4 days ago San Mateo, CA $150,000.00-$300,000.00 1 week ago San Jose, CA $113,400.00-$206,300.00 1 week ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.
#J-18808-Ljbffr