Systems or Infrastructure Engineer
Quick answer
FAR.AI is hiring a mid-level Systems or Infrastructure Engineer to manage Kubernetes GPU fleets, storage systems, and ensure fault-tolerant and secure large-scale experiments. The role is based in Berkeley, CA or Singapore, with both remote and in-person options.
- Role
- Systems or Infrastructure Engineer
- Organization
- FAR.AI
- Location
- Berkeley, CA or Singapore (remote and in-person possible)
- Work setup
- Remote
- Level
- Mid
- Category
- Engineering & Technology
The role
FAR.AI is seeking a Systems or Infrastructure Engineer to operate and manage Kubernetes GPU fleets, design storage systems, and ensure fault-tolerant and secure large-scale experiments.
What you'll do
- Operate the Kubernetes GPU fleet day to day
- Own batch scheduling and multi-tenancy
- Design and run the storage under the fleet
- Keep multi-node training runs fault-tolerant
- Harden the platform for security
- Bring new capacity online
What it takes
- 3+ years in systems or infrastructure engineering
- Production Kubernetes for GPU workloads
- Infrastructure as code and observability
- Strong programming skills
- Clear writing for engineers, researchers, and providers
- Real depth in one or more of the additional skills
What you'll bring
How we treat you
Health Insurance, Retirement, PTO, Paid Leave, WFH Stipend & Equipment, Catered Meals (Berkeley Office Only)
Frequently asked questions
Where is the job located?
Berkeley, CA or Singapore (remote and in-person possible)
What are the key qualifications required?
3+ years in systems or infrastructure engineering, production Kubernetes for GPU workloads, infrastructure as code and observability, strong programming skills, clear writing for engineers, researchers, and providers, real depth in one or more of the additional skills
How do I apply?
Apply directly via the application form. Do not email to share your resume.
How to apply
Apply directly on FAR.AI's site. We link straight through — no resume parsing, no profile to fill out.
This listing is aggregated from a third-party source and its summary may be auto-generated, so details can be inaccurate or out of date. ForGood is not the employer and is not liable for the content — please verify everything on FAR.AI's official posting before applying.
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