Top Tech Jobs & Startup Jobs in Toronto

Own multi-layer PCB layouts for high-performance AI and computing products. Route high-speed interfaces (GDDR/LPDDR/DDR, PCIe Gen5/6, Ethernet, USB), apply layout rules, select advanced fabrication (HDI, blind/buried vias, back drilling, VIPPO), collaborate with power, SI, and mechanical teams, and resolve DFM/DFA/DFT feedback to meet manufacturability and regulatory standards.

Design, deploy, and operate global data center networks for AI compute clusters. Manage switches, routers, firewalls, and lossless RDMA fabrics, troubleshoot production incidents, collaborate with hardware and platform teams, and build automation for scalable, secure, high-performance network provisioning and operations.

Develop and maintain infrastructure platforms for AI services, build APIs, manage Kubernetes clusters, and automate workflows using CI/CD practices.

Select and qualify electronic components for high-performance AI compute systems, maintain Approved Vendor List, drive multi-sourcing and cost optimization, monitor lifecycle and supplier risk, and collaborate with hardware, procurement, and supply teams to ensure component availability for scalable production.

Lead and deliver agentic workflow and program intelligence initiatives: define opportunities, structure ambiguous work into programs, integrate systems and data pipelines, drive automation, partner with engineering, infrastructure, and data teams, and produce executive-ready reporting.

The Risc-V Architect will analyze AI workloads, design custom RISC-V cores, and lead the architecture efforts at Tenstorrent, improving CPU performance.

The Sr. Software Engineer will develop AI compiler technologies, optimizing models for Tenstorrent hardware, and engage in collaborative problem-solving with a focus on open-source contributions.

Develop and optimize low-level infrastructure software that interfaces with Tenstorrent hardware. Build libraries and APIs for inter-node communication and synchronization, improve performance and scalability in distributed environments, support hardware bring-up, testing, deployment, and integrate components with runtimes and programming models.

Own end-to-end electronics components and PCB supply chain, managing suppliers (CMs, PCB fabs, distributors), supporting NPI and production ramps, aligning forecasts, negotiating multi-year contracts, and mitigating supply risks to ensure product availability and revenue.

As an AI Processor IP Product Engineer, you'll facilitate customer integration of AI processors into SoCs, ensuring performance and market readiness. Responsibilities include technical support and debugging complex systems.