Top Network Engineer Jobs in Toronto

Develop and enhance firmware-level networking stack for chip communication at Tenstorrent. Responsibilities include managing low-level communication protocols, NOC traffic characterization, board validation, and debugging, alongside collaboration with SoC design teams. Ideal candidates should possess extensive networking and programming experience.

The Network Engineer will be responsible for installing, configuring, and troubleshooting complex network infrastructure. Tasks include managing wireless networks, supporting Layer 2/3 networking protocols, ensuring network security, and troubleshooting connectivity issues. The role requires collaboration with vendors and clear documentation of network processes.

Design and build resilient APIs and services for financial operations, oversee functionality and scalability from inception to deployment, mentor peers through code reviews, and collaborate with engineering teams to ensure quality and consistency.

As a Senior Network Automation Engineer at Wayfair, you will enhance network infrastructure by automating processes using IaC, develop CI/CD pipelines, manage configurations with tools like Ansible, and optimize cloud network architectures. Collaborating with teams across the company, you'll lead efforts in automating network tasks and improving operational efficiency.

As a Senior Network Development Engineer, you will design and develop code for complex network technologies, conduct research, collaborate with customers, write Python code, perform testing, and provide feedback to improve the NetBrain platform. You'll engage with global enterprises to enhance their network automation capabilities.

As a Network Systems Engineer at Arista Networks, you will leverage your expertise in routing and switching to support sales efforts by building relationships with channel partners, facilitating technical training, and executing technical reviews. You will engage with key partners, develop POCs, create technical marketing materials, and collaborate with sales to maximize partner capabilities.

The Neural Network Optimization Engineer develops and optimizes neural networks for AI inference on cutting-edge hardware, collaborates with cross-functional teams, diagnoses user challenges, and ensures effective product usage by customers. They manage projects, communicate optimizations, and engage with customers post-sale, contributing feedback to improve the technology.

The role involves designing, developing, and maintaining Linux-based software for enterprise networks and cloud. Responsibilities include collaboration with cross-functional teams, debugging, optimizing, and developing automation scripts. The engineer will also engage with open-source communities and ensure quality through code reviews and documentation.