Boson AI
Base pay range
$150,000.00/yr - $250,000.00/yr
About the Role We’re seeking an experienced Network Engineer to design, build, and optimize the high-performance networking infrastructure powering our AI/ML operations in Toronto. You'll work at the cutting edge of network technology—managing InfiniBand and ultra‑high‑speed Ethernet fabrics that connect NVIDIA H100 and A100 GPUs, over 20PB of Ceph storage, and hundreds of servers.
You’ll be hands‑on with the full lifecycle of our network infrastructure: planning, building, testing, deploying, and keeping everything running at peak performance. That means troubleshooting issues as they arise, monitoring network performance and throughput, developing automation to streamline operations, and working closely with HPC and ML teams to ensure they have the bandwidth they need. You’ll also help us plan for future capacity and evaluate emerging network technologies as we scale to meet increasingly demanding workloads.
Responsibilities
Configure and maintain InfiniBand and high‑speed Ethernet fabrics
Optimize network performance for RDMA and GPU‑to‑GPU communication
Manage network switches (Mellanox, NVIDIA, Micas Networks)
Troubleshoot network bottlenecks and latency issues
Plan and execute network upgrades and expansions
Implement network security (firewalls, VLANs, ACLs)
Collaborate on storage network optimization and infrastructure monitoring
Minimum Qualifications
4+ years of network engineering experience in production environments
Strong understanding of L2/L3 networking protocols (TCP/IP, BGP, OSPF, VLANs)
Hands‑on experience with high‑speed networking (100 Gb+ Ethernet and InfiniBand)
Hands‑on experience with network security (firewalls, ACLs, network segmentation)
Knowledge of HPC network topologies
Experience with InfiniBand fabrics including RDMA, RoCE, IPoIB
Strong troubleshooting and problem‑solving skills
Preferred Qualifications
Experience in data center environments or AI/ML infrastructure
Hands‑on experience with high‑performance Ethernet switches (e.g., Broadcom Tomahawk) and latest InfiniBand switches (e.g., NVIDIA/Mellanox)
Experience optimizing networks for GPU‑to‑GPU communication
Experience with open‑source firewall solutions (OPNsense, pfSense, or similar)
Experience with network automation tools
Understanding of distributed storage networking (Ceph cluster networks)
Familiarity with network monitoring and observability tools (Prometheus, Grafana)
Knowledge of multi‑site network connectivity and WAN optimization
Familiarity with cloud networking in at least one platform (AWS, GCP, or Azure), including VPC design, site‑to‑site VPN configuration, Direct Connect/ExpressRoute/Cloud Interconnect, hybrid cloud connectivity, and cloud‑to‑data‑center network integration
If you’re a natural problem‑solver with a passion for continuous learning, we’d love to hear from you.
We may use artificial intelligence tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Seniority Level Not Applicable
Employment Type Full‑time
Job Function Information Technology
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About the Role We’re seeking an experienced Network Engineer to design, build, and optimize the high-performance networking infrastructure powering our AI/ML operations in Toronto. You'll work at the cutting edge of network technology—managing InfiniBand and ultra‑high‑speed Ethernet fabrics that connect NVIDIA H100 and A100 GPUs, over 20PB of Ceph storage, and hundreds of servers.
You’ll be hands‑on with the full lifecycle of our network infrastructure: planning, building, testing, deploying, and keeping everything running at peak performance. That means troubleshooting issues as they arise, monitoring network performance and throughput, developing automation to streamline operations, and working closely with HPC and ML teams to ensure they have the bandwidth they need. You’ll also help us plan for future capacity and evaluate emerging network technologies as we scale to meet increasingly demanding workloads.
Responsibilities
Configure and maintain InfiniBand and high‑speed Ethernet fabrics
Optimize network performance for RDMA and GPU‑to‑GPU communication
Manage network switches (Mellanox, NVIDIA, Micas Networks)
Troubleshoot network bottlenecks and latency issues
Plan and execute network upgrades and expansions
Implement network security (firewalls, VLANs, ACLs)
Collaborate on storage network optimization and infrastructure monitoring
Minimum Qualifications
4+ years of network engineering experience in production environments
Strong understanding of L2/L3 networking protocols (TCP/IP, BGP, OSPF, VLANs)
Hands‑on experience with high‑speed networking (100 Gb+ Ethernet and InfiniBand)
Hands‑on experience with network security (firewalls, ACLs, network segmentation)
Knowledge of HPC network topologies
Experience with InfiniBand fabrics including RDMA, RoCE, IPoIB
Strong troubleshooting and problem‑solving skills
Preferred Qualifications
Experience in data center environments or AI/ML infrastructure
Hands‑on experience with high‑performance Ethernet switches (e.g., Broadcom Tomahawk) and latest InfiniBand switches (e.g., NVIDIA/Mellanox)
Experience optimizing networks for GPU‑to‑GPU communication
Experience with open‑source firewall solutions (OPNsense, pfSense, or similar)
Experience with network automation tools
Understanding of distributed storage networking (Ceph cluster networks)
Familiarity with network monitoring and observability tools (Prometheus, Grafana)
Knowledge of multi‑site network connectivity and WAN optimization
Familiarity with cloud networking in at least one platform (AWS, GCP, or Azure), including VPC design, site‑to‑site VPN configuration, Direct Connect/ExpressRoute/Cloud Interconnect, hybrid cloud connectivity, and cloud‑to‑data‑center network integration
If you’re a natural problem‑solver with a passion for continuous learning, we’d love to hear from you.
We may use artificial intelligence tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Seniority Level Not Applicable
Employment Type Full‑time
Job Function Information Technology
#J-18808-Ljbffr