Top Tech Jobs & Startup Jobs in Toronto

Develop software frameworks, APIs, tooling, infrastructure, and CI/CD regression systems for ASIC and system testing. Design access and testing frameworks, support ML processor and board bring-up, validate systems, debug issues, and build automated software delivery pipelines. The role requires strong C, C++, Python, Linux systems programming, computer architecture, hardware debugging, and test automation skills. Responsibilities also include code reviews, mentorship, and cross-functional collaboration.

Design, document, and improve global logistics processes across shipping, freight, customs, warehousing, 3PL operations, and returns. Partner with logistics, ERP, planning, procurement, manufacturing, and external providers to gather requirements, close system configuration gaps, improve master data quality, map integrations, analyze root causes, and lead process changes, documentation, training, and adoption.

Leads the Supply Chain business systems team, including NetSuite ERP implementation and Arena PLM administration. Owns system configuration, data integrity, governance, workflows, and the supply chain systems roadmap across procurement, planning, inventory, logistics, transfers, and returns. Partners with Finance, IT, Engineering, suppliers, and executives while developing team members and deploying reporting, AI, and agentic workflows to improve operations.

Drive PCIe silicon enablement from pre-silicon planning through first-silicon bring-up and product support. Develop firmware, tests, automation, and reusable infrastructure for PCIe controllers, PHYs, boards, SoCs, and SiPs. Integrate and debug root-complex and endpoint behavior, link training, equalization, resets, power management, and error recovery using lab tools and system-level investigation. Collaborate across engineering teams, define enablement and production-readiness roadmaps, mentor engineers, and improve product quality through post-silicon learnings.

Build and scale legal operations for a growing AI and semiconductor company. Lead legal technology selection, migrations, workflow automation, commercial contract administration, NDA negotiation, KPI development, vendor and outside counsel oversight, document management, and litigation, M&A, and investor diligence support.

Lead verification strategy and a team of verification engineers for next-generation AI hardware. Develop coverage-driven methodologies and validate AI data types, tensor operations, performance, on-chip networks, concurrency, synchronization, and error handling. Create portable test strategies spanning subsystem simulation, FPGA, and silicon, while collaborating across hardware architecture and software teams to meet system performance targets.

Lead post-silicon productization of high-performance PCIe cards and multi-chip server systems. Coordinate hardware, software, firmware, validation, supply chain, manufacturing, NPI, ODMs, and suppliers across development and launch. Establish integrated plans, manage milestones, resources, risks, testing, compliance, reliability, documentation, and release readiness while driving cross-functional decisions and issue resolution.

Drive complex, cross-functional platform engineering initiatives across runtime systems, device drivers, deployment, observability, hardware, and architecture teams. Develop technical execution plans, manage dependencies, improve reliability and scalability, establish milestones and metrics, investigate risks, and unblock engineering progress. The role supports hardware/software integration, fleet-scale deployment, debugging, platform readiness, and engineering workflow improvements through telemetry, dashboards, automation, and AI-assisted tools.

Define and implement low-level runtime software for custom processors, accelerators, memory systems, and data-movement IP. Responsibilities include hardware initialization, workload dispatch, scheduling, synchronization, resource management, performance optimization, system bring-up, and debugging. The role collaborates across hardware, firmware, compiler, and systems teams, influences runtime architecture, supports customers, and mentors engineers while improving latency, throughput, scalability, and reliability.

Optimize software workloads across datacenter and agentic AI applications on RISC-V platforms. Responsibilities include profiling applications and runtimes, identifying bottlenecks, tuning compilers and runtimes, analyzing memory and concurrency behavior, leveraging vector, matrix, and custom ISA capabilities, and developing AI-assisted optimization workflows. The role collaborates across software, compiler, hardware, and performance modeling teams to improve throughput, latency, efficiency, and future CPU architecture.