Top Tech Jobs & Startup Jobs in Toronto

Designs and optimizes power distribution systems for high-performance AI accelerator cards. Responsibilities include component selection, simulation, schematic and layout guidance, VRM bring-up, validation, debugging, power integrity and PDN optimization, thermal and EMI/EMC considerations, and production readiness. The role collaborates with hardware, firmware, software, thermal, mechanical, and validation teams throughout the hardware development lifecycle.

Architect and design liquid cooling infrastructure for large-scale AI training and inference clusters. Develop chassis-, rack-, and cluster-level solutions involving CDUs, telemetry, controls, leak detection, pressure testing, fluid compatibility, redundancy, and resilient operating strategies. Partner with systems, mechanical, software, facility, and cross-functional engineering teams to deliver reliable datacenter architectures for internal and external customers.

Build and lead Tenstorrent’s global supply chain operating infrastructure for hardware products. Own product certification and market readiness, Sales & Operations Planning, global RMA and customer operations, scalable processes, KPIs, dashboards, governance, and cross-functional execution. The role requires developing teams, clarifying ownership, managing ambiguity, and aligning Engineering, Product, Sales, Manufacturing, Quality, Finance, Legal, customers, test labs, and regulatory bodies to support product launches and lifecycle operations.

Leads strategic sourcing for semiconductor design infrastructure, including third-party IP licensing, EDA/CAD tools, vendor negotiations, and complex technology contracts. Develops procurement strategies balancing cost, quality, delivery, and innovation; manages multiple concurrent deals; builds executive-level vendor relationships; and translates technical requirements into sourcing recommendations for leadership. The role supports global engineering teams and AI chip company scale-up operations.

Supports corporate development and strategic deal processes, including partnerships, business development, strategic sales, pipeline and CRM management, research, briefing materials, diligence, data-room organization, and executive communications. The role coordinates multiple workstreams and supports senior leadership throughout commercial transactions in the AI hardware, semiconductor, and data center ecosystems.

Leads analysis, modeling, structuring, negotiation, and execution of strategic partnerships and commercial transactions. Builds business cases, develops relationships across the AI, semiconductor, and data center ecosystems, manages deal workstreams, and presents strategy recommendations to senior executives and external partners.

Leads end-to-end design verification for CPU, AI accelerator, and chiplet platforms. Develops SV-UVM, C/DPI, and Cocotb simulation environments; owns test plans, coverage, regressions, failure triage, and sign-off. Collaborates with architecture, design, software, and post-silicon teams, supports emulation and multi-chip verification, and mentors junior engineers. Uses AI-assisted tools to improve verification workflows and scalability.

Own global OSAT partnerships and backend semiconductor manufacturing from wafer-out through final shipment. Manage supplier relationships, negotiations, engineering builds, qualification lots, capacity, materials, production schedules, packaging, testing, yield, quality, logistics, and supply risks. Lead substrate and critical-material sourcing for advanced AI hardware while establishing KPI-driven processes and reliable data for analytics and automation. The role requires regular travel to Taiwan and other Asia-based partner sites.

Develop and debug low-level firmware for microcontrollers and SoCs, including boot, power, and reset sequences. Lead platform bring-up, validation, production improvements, and automated testing while diagnosing hardware-software issues with lab tools. Collaborate with hardware, board, and system software teams on architecture, reliability, performance, and maintainability. Contribute to design reviews, engineering standards, mentorship, and technical leadership across the firmware lifecycle.

Develop diagnostics software to validate and stress-test ASICs, boards, and AI compute systems. Collaborate with firmware, hardware, ASIC design, verification, software, and manufacturing teams to diagnose complex system-level issues using JTAG, scripts, and hardware interfaces. Lead scalable diagnostics infrastructure improvements and support pre-silicon, post-silicon, and high-volume production validation.