6 Network Engineer jobs in Montréal

Job Description

Scope of Work – Tasks to be Covered

1️⃣ Build Phase – Pre-Installation Activities:

Verify & Validate the Bill of Materials (active & passive components).

Receive and Inspect network equipment (switches, APs, controllers, firewalls).

Rack and Stack devices in designated positions as per the layout plan.

Cable Management: Identify and label network cables for installation.

Power Setup: Verify available PDU sockets and install redundant power sources if required.

Provide Console Access for our remote engineers to configure the devices.

2️⃣ Cutover Phase – Installation & Migration Activities:

Physically replace & install network devices , including:

• Switches (Core, Distribution, and Access Switches)

• Wireless Access Points (Ceiling/Wall Mounted)

• Gateway Controllers

• Firewalls

Cable Patching:

• Perform inter-rack & intra-rack patching with copper and fiber cables.

• Ensure neat dressing and labeling of cables inside the racks.

Swapping Connections: Migrate endpoint connections from old to new switches.

Testing: Conduct power-on and connectivity tests for all installed devices.

User Acceptance Testing (UAT): Work with on-site contacts to verify device functionality.

Document Installation & Spare Materials: Submit a list of installed devices and leftover materials.

Take Before & After Photos of racks, patch panels, and cabling.

Network Security Analyst - Palo Alto, MS AVS Cloud Migration

Competencies: Digital : Network Security Palo Alto, CNS_Network Security_Cisco Experience (Years): 6-8

Keywords: Palo Alto, Vmware

Role Description: Migration of On-Prem datacenter to Microsoft AVS Cloud. Coordination with clients Technical team Essential Skills:

1) skill and experience of migration of Palo Alto physical firewall configuration, routing configuration and other policy to virtual palo Alto firewall.

2) experience of migration of site to site VPN links from one dc to AVS cloud.

3) NSX T configuration skills including bgp routing in Azure.

4) overall VMware and Azure AVS migration skill is a plus.

5) IP design planning and deployment is a must skills.

6) IP whitelist, redesign of public IP, load balancer experience, SsL certificate migration are must Experience of Azure AVS technology.

Desirable Skills: Experience of Azure AVS technology.

Job Description

Senior Neural Network Kernel Software Development Engineer

Our client is making substantial investments in software to enhance the seamless deployment of neural networks on their hardware, streamlining the experience for researchers and developers. The focus involves the optimization of various common neural networks for optimal performance on architectures, facilitated by the software optimization tool flow.

We are seeking software developers who are driven and naturally curious. The chosen candidate will contribute within agile teams, working closely with senior software engineers for mentorship. This role presents an opportunity to tackle novel challenges using cutting-edge technologies, as they build innovative systems from scratch.

As a key team member, you will specialize in constructing efficient implementations of practical neural net kernels tailored to their distinctive hardware architecture. Additionally, you will implement diverse computing algorithms, maximizing computation and communication throughput. This role involves developing a profound understanding of the architecture's intricacies, working collaboratively with the architects and compiler engineers.

Responsibilities:

• Experience writing kernels to accelerate Neural Network execution on custom hardware accelerators (not on CPU's)
• Design, prototype, and execute low-level, adaptable C++ programs (kernels) for various neural net operations.
• Define, document, and communicate configuration APIs for these kernels to the compiler team.
• Share performance optimization concepts with both compiler engineers and architects working on future product generations.
• Develop comprehensive computation strategies spanning kernels for multichannel and multi-chip neural net implementations.

Requirements:

• Degree in Computer Science, Engineering, Math, Physics, or related field (preferably MS or PhD).
• Profound knowledge of modern C++, with a focus on code generation and low-level compute optimizations.
• Familiarity with fundamental Neural Network operator algorithms - Convolutions, Transformers, RNNs.
• Demonstrated capability to independently navigate challenging, well-defined problems.
• Aptitude and interest in both high-level conceptual understanding and intricate technical details.
• Enthusiasm for problem-solving within highly structured and restricted environments.

Preferred Skills and Experience:

• Proficiency in Python.
• Experience with other AI accelerator programming.
• Strong mathematical aptitude.
• Enjoyment of solving complex problems.

Our client offers:

• Comprehensive health and extended health benefits.
• Competitive Salary
• Unlimited sick leave.
• Stock options.
• Contribution to revolutionizing chip and software technologies with global impact.