Wait…
Site Reliability Engineer
Boson AI, Toronto
About the job
About The Role
Boson AI builds production-grade AI systems that make communication with AI more natural, capable, and useful. We are looking for a Site Reliability Engineer to help build and operate the infrastructure behind that work.
Based in Toronto or remote, you will work across the systems that enable large-scale AI training and serving: high-performance networks, GPU clusters, storage, scheduling, and the operational tooling that keeps them reliable. This is a hands-on role for someone who enjoys taking complex infrastructure from “it works” to dependable, observable, and scalable.
You do not need to be an expert in every layer of the stack. We are looking for deep strength in at least one area—networking, cluster scheduling, storage, GPU systems, or AI infrastructure— and the curiosity and judgment to collaborate across the rest.
Responsibilities
- Design, operate, and improve reliable infrastructure for AI training and inference workloads
- Own and automate operational workflows across one or more core areas: networking, compute allocation, storage, GPU/server configuration, or AI platforms
Minimum Qualifications
- 4+ years of experience in site reliability engineering, infrastructure engineering, systems engineering, or a related production-operations role
- Strong hands-on expertise in at least one of the following:
- Networking, including firewalls, switching, routing, ASN/BGP configuration, or InfiniBand
- Cluster and systems allocation with Kubernetes, SLURM, MAAS, or similar platforms
- Distributed storage, particularly Ceph
- GPU and server administration, including CUDA drivers, firmware, BIOS, and hardware troubleshooting
- AI training or model-serving infrastructure
- Experience operating production systems with a focus on availability, performance, security, and automation
- Strong Linux administration and scripting skills
- A systematic approach to troubleshooting across multiple layers of a complex system
- Clear written and verbal communication skills, including the ability to work effectively with a distributed team
Preferred Qualifications
Experience supporting GPU-intensive AI or HPC environments
Experience with NVIDIA GPUs, CUDA, NCCL, and high-performance interconnects - Experience with InfiniBand, RDMA, RoCE, or 100Gb+ Ethernet
Familiarity with Kubernetes, SLURM, MAAS, Terraform, Ansible, or similar infrastructure tooling
Experience operating or tuning Ceph clusters
Familiarity with observability tooling such as Prometheus, Grafana, and centralized logging systems
Experience with hardware provisioning, firmware management, and bare-metal automation
Experience running large-scale distributed training or high-throughput inference workloads
Familiarity with cloud and hybrid infrastructure across AWS, GCP, or Azure
Boson AI is building AI systems for real-world, business-critical use. If you enjoy solving difficult infrastructure problems and want your work to directly enable the next generation of AI products, we’d love to hear from you.
Boson AI uses artificial intelligence (AI) to help screen and assess applications for this position, and our team reviews the shortlisted candidates.
Similar jobs at other companies
Hippocratic AIGurugram, India
Pay not posted
Posted 5 days ago
Hippocratic AIMenlo Park, CA
Pay not posted
Posted Sep 17, 2026
- PD
Parallel DomainRemote - Canada +1
$145K–$185K / yr
Posted Apr 28, 2026
- A
$200K–$225K / yr
Posted Sep 16, 2026
- R
Pay not posted
Posted Apr 7, 2026
- S
Schonfeld New York, New York +1
$150K–$180K / yr
Posted Sep 16, 2026
Source: the Boson AI Lever job board. We last checked this job 2 h ago. We first saw it 2 days ago. A job on a job board does not always mean that the team interviews people now. We found this job board in a public list. We did not yet compare it with the careers page of the company.
- Open tech jobs
- 6
- With posted pay
- 100%